METHOD OF SELECTING PLURALITY OF SETS OF OPTIMAL BEAM PAIRS IN WIRELESS COMMUNICATION SYSTEM

Abstract

The present disclosure provides a method of selecting a plurality of sets of optimal beam pairs in a wireless communication system. The method includes estimating channels associated with a plurality of transmit ports for each receive port from a plurality of receiver ports. Further, the method includes selecting the plurality of optimal transmit and receive beam pairs using average power level computation and capacity maximization techniques.

Description

PRIORITY

This application claims priority under 35 U.S.C. § 119(a) to Indian Patent Applications filed in the Indian Patent Office on Jan. 16, 2017 and assigned Serial No. 201741001716 (PS), and filed on Jan. 15, 2018 and assigned Serial No. 201741001716 (CS), the entire disclosure of each of which is incorporated herein by reference.

BACKGROUND

1. Field of the Disclosure

The present disclosure relates in general to wireless communications, and more particularly to a method and system for selecting a plurality of sets of optimal transmit beam and receive beam pairs in a wireless communication system.

2. Description of the Related Art

Millimeter wave beamforming is one of the key technologies for 5G communications. The large swathes of bandwidth at these frequencies enable high data rate communication. Beamforming is required in such 5G communication systems to compensate for the significantly higher path loss. Transmit beamforming using directional beam-patterns focuses the transmit signal in one of the possible spatial directions. Similarly, in receive beamforming, the receive beams facilitate directional selectivity of the received signals.

In a beam-formed system the optimal transmit and receive beams needs to be determined for reliable communication. In a single input single output (SISO) system, a single transmit beam and receive beam pair needs to be estimated for a single stream transmission. In a multi-input and multi-output (MIMO) system, multiple transmit beam and receive beam pairs for the multiple streams need to be estimated. A beam set comprises of such multiple beam-pairs. A plurality of such sets need to be estimated with the objective of reliable communication in the presence of beam blockages and misalignments. This is performed using beam-training mechanisms. The beam-training mechanisms require a receiver to reliably estimate optimal beams (directionality) from a set of possible beams in a face of fading, interference and noise.

Evolving 5G specifications will need incorporation of periodic and a periodic beam-control signaling along with data transmission to estimate and track the beam-pairs associated with the base station (BS) and user equipment (UE). In one of the 5G specifications, these are called beam-reference signals (BRS). The other signals that are typically used for beam training are the synchronization signals (SS) and channel state information reference signals (CSI-RS),

There exists methods in which optimal transmit beam and receive beam pairs are selected using both capacity maximization and power maximization. However, the methods in the prior art when adapted towards higher configurations of number of antennas and beams results in unmanageable complexity which therefore makes the selection of the optimal beam pairs extremely difficult for practical implementation. Also the performance of the existing methods is affected in the presence of interference, blockages and misalignments.

Therefore, a need exists to provide solution for the above mentioned problem or other shortcomings or at least provide a useful alternative.

SUMMARY

The principal object of the embodiments herein is to provide a method of selecting a plurality of sets of optimal or best transmit beam and receive beam pairs in a wireless communication system.

Another object of the embodiments herein is to determine the plurality of sets of optimal transmit beam and receive beam pairs using a Capacity Maximization (CM) technique on a reduced search space obtained from a power maximization method.

Another object of the embodiments herein is to identify at least one transmit and receive beam ID pairs by traversing diagonally across a matrix, wherein at least one beam ID pair is anchored. A scan over over at least one beam ID pair in the matrix is performed using the anchored at least one beam ID pair to identify one or more beam ID pairs.

Accordingly embodiments herein provide a method of selecting a plurality of sets of optimal transmit beam and receive pairs in a wireless communication system. The method includes estimating, by a receiver, channels associated with a plurality of transmit ports for each receive port from a plurality of receive ports. Further, the proposed method includes determining, by the receiver, the plurality of optimal transmit beam and receive beam pairs using: average power level at each receive port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs, a set of first power matrices where each first power matrix, from the set of first power matrices, comprises at least one transmit port, transmit beam ID and receive beam ID pairs associated with each receive port, where the set of first power matrices is formed based on the average power level at each of the receive port, and a second capacity matrix formed based on capacity maximization obtained from the set of first power matrices, wherein the plurality of sets of optimal transmit beam pairs and receive beam pairs associated with the each of the transmit and receive ports is selected from the second capacity matrix.

In an embodiment, where the average power level at each receiver port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs comprises computing the average power level at each receive port for at least one transmit port based on the estimated channel, and determining that the average power level of each receive port for at least one transmit port meets a power level threshold.

In an embodiment, where the capacity maximization obtained from the set of first power matrices is determined based on one of maximizing a Signal-to-Interference plus noise ratio (SINR) and a logarithmic function of SINR (capacity) associated with the one or more sets of transmit beam and receive beam pairs associated with the plurality of receive antenna ports.

In an embodiment, where one or more sets of capacity maximizing beam pairs comprises of a number of elements where each element is associated with a transmit port number, a receive port number, a transmit beam ID and a receive beam ID.

In an embodiment, where determining the plurality of optimal transmit beam pairs and receive beam pairs comprises: identifying at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a third matrix, anchoring the at least one transmit beam ID and receive beam ID pairs identified in the third matrix, performing a scan over at least one transmit beam ID and receive beam ID pairs in the third matrix using the at least one anchored transmit beam ID and receive beam ID pairs, and determining the plurality of sets of optimal transmit beam pairs and receive beam pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

In an embodiment, the third matrix is determined based on the estimated channels associated with at least one transmit port from the plurality of transmit ports associated with each receive port from the plurality of receive ports.

Accordingly embodiments herein provide a method of selecting a plurality of sets of optimal transmit beam pairs and receive beam pairs in a wireless communication system. The method includes estimating, by a receiver, channels associated with a plurality of transmit ports for each receive port from a plurality of receive ports, and determining, by the receiver, the plurality of sets of optimal transmit beam and receive beam pairs by: identifying at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a first matrix, anchoring the at least one transmit beam ID and receive beam ID pairs identified in the first matrix, performing a scan over at least one transmit beam ID and receive beam ID pairs in the first matrix using the at least one anchored transmit beam ID and receive beam ID pairs, and determining the plurality of sets of optimal transmit beam pairs and receive beam pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

In an embodiment, where the first matrix is determined based on the estimated channel associated with a plurality of transmit ports for each receive port from a plurality of receiver ports and the associated transmit beam and receive beam pairs.

In an embodiment, the at least one set of optimal transmit beam and receive beam pairs from the plurality of sets of optimal transmit beam and receive beam pairs comprises of a number of elements where each element is associated with a transmit port number, a receive port number, the transmit beam ID and the receive beam ID pairs

Accordingly embodiments herein provide a receiver for selecting a plurality of optimal beam pairs in a wireless communication system. The receiver includes a memory, a processor coupled to the memory, and a beam pair selector coupled to the processor. The beam pair selector is configured to estimate channels associated with a plurality of transmit ports for each receive port from a plurality of receiver ports for transmit beam and receive beam pairs, determine the plurality of sets of optimal transmit beam and receive beam pairs using: average power level at each receive port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs, a set of first power matrices where each first power matrix, from the set of power matrices, comprises at least one transmit port, transmit beam ID and receive beam ID pairs associated with each receive port, wherein the set of first power matrices is formed based on the average power level at each of the receive port, and a second capacity matrix formed based on capacity maximization obtained from the set of first power matrices, wherein the plurality of sets of optimal transmit beam pairs and receive beam pairs associated with each of the transmit and receive ports is selected from the second capacity matrix.

Accordingly embodiments herein provide a receiver for selecting a plurality of optimal beam pairs in a wireless communication system. The receiver includes a memory, a processor coupled to the memory, and a beam pair selector coupled to the processor. The beam pair selector is configured to estimate channels associated with a plurality of transmit ports for each receive port from a plurality of receive ports, and determine the plurality of sets of optimal transmit beam and receive beam pairs by: identify at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a first matrix, anchor the at least one transmit beam ID and receive beam ID pairs identified in the first matrix, perform a scan over at least one transmit beam ID and receive beam ID pairs in the first matrix using the at least one anchored transmit beam ID and receive beam ID pairs, and determine the plurality of sets of optimal beam transmit beam pairs and receive pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.

BRIEF DESCRIPTION OF THE DRAWINGS

This method is illustrated in the accompanying drawings, throughout which like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:

FIG. 1A illustrates a schematic overview of a beam-training mechanism, according to a prior art as disclosed herein.

FIG. 1B illustrates a schematic overview of a plurality of sets of directional links between a transmitter and a receiver in a wireless communication system, according to a prior art as disclosed herein.

FIG. 2 is a block diagram illustrating various hardware components of the receiver, according to an embodiment as disclosed herein;

FIG. 3 is a block diagram illustrating various hardware components of the power and capacity computational unit of the receiver, according to an embodiment as disclosed herein;

FIG. 4 is a block diagram illustrating various hardware components of the transmitter port selection unit of the receiver, according to an embodiment as disclosed herein;

FIGS. 5A-5B are flow diagrams illustrating a method of selecting beam ID pairs associated with a transmitter antenna array and a receiver antenna array, according to an embodiment as disclosed herein;

FIG. 6 illustrates a matrix for selecting a plurality of set of optimal beam ID pairs, according to a prior art as disclosed herein;

FIG. 7 illustrates a matrix for selecting a plurality of set of optimal beam ID pairs, according to an embodiment as disclosed herein; and

FIG. 8 is a graph representing a probability of correct detection comparison of the hybrid power and capacity maximization scheme with the received signal strength based scheme in presence of interference, according to an embodiment as disclosed herein.

DETAILED DESCRIPTION

Various embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. In the following description, specific details such as detailed configuration and components are merely provided to assist the overall understanding of these embodiments of the present disclosure. Therefore, it should be apparent to those skilled in the art that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

Also, the various embodiments described herein are not necessarily mutually exclusive, as some embodiments can be combined with one or more other embodiments to form new embodiments. Herein, the term “or” as used herein, refers to a non-exclusive or, unless otherwise indicated. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein can be practiced and to further enable those skilled in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.

As is traditional in the field, embodiments may be described and illustrated in terms of blocks which carry out a described function or functions. These blocks, which may be referred to herein as units or modules or the like, are physically implemented by analog and/or digital circuits such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits and the like, and may optionally be driven by firmware and/or software. The circuits may, for example, be embodied in one or more semiconductor chips, or on substrate supports such as printed circuit boards and the like. The circuits constituting a block may be implemented by dedicated hardware, or by a processor (e.g., one or more programmed microprocessors and associated circuitry), or by a combination of dedicated hardware to perform some functions of the block and a processor to perform other functions of the block. Each block of the embodiments may be physically separated into two or more interacting and discrete blocks without departing from the scope of the disclosure. Likewise, the blocks of the embodiments may be physically combined into more complex blocks without departing from the scope of the disclosure.

Accordingly embodiments herein provide a method of selecting a plurality of sets of optimal beam pairs from a plurality of beam pairs in a wireless communication system. The proposed method includes estimating, by a receiver, a channel associated with at least one transmit port from a plurality of transmit ports associated with each receive port from a plurality of receiver ports for all transmit beam and receive beam pairs. Further, the proposed method includes determining, by the receiver, the sets of optimal beam pairs using an average power level of each receiver port for the at least one transmit port based on the estimated channel, a first matrix comprising the at least one transmit port and beam ID pairs associated with each receive port, wherein the first matrix is formed by processing each OFDM symbol based on the power level of each receiver port, and a second matrix formed based on at least one capacity and SINR associated with each beam ID pair obtained from a plurality of first matrices, wherein the plurality of sets of optimal transmit beam and receive beam pair is selected based on the second matrix. Accordingly embodiments herein provide a method of selecting a plurality of optimal transmit and receive beam pairs in a wireless communication system. The proposed method includes estimating, by a receiver, a channel associated with a plurality of transmit ports for each receive port from a plurality of receiver ports. Further the proposed method includes determining, by the receiver, the optimal beam pair by identifying, by the receiver, at least one beam ID pair by traversing diagonally across a first matrix, anchoring, by the receiver, the at least one beam ID pair identified in the first matrix, performing, by the receiver, a scan over at least one beam ID pair in the first matrix using the anchored at least one beam ID pair, and determining, by the receiver, the plurality of optimal beam pairs based on the scan over the at least one anchored beam ID pair.

Unlike to conventional methods and systems, the proposed method can be used to reduce a complexity for practical implementation by using an intelligent combination of both a capacity maximization (CM) and a received power maximization (PM) techniques without compromising on the performance while identify the one or more sets of optimal transmit and receive beam pairs.

Referring now to the drawings, and more particularly to FIGS. 1 through 8, these are shown as preferred embodiments.

FIG. 1A illustrates a schematic overview of an exemplary beam-training scheme, according to a prior art as disclosed herein.

In an embodiment, the proposed embodiments can also be applicable to other beam-training methods.

In downlink Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) based communication system includes a transmitter (Tx) and a receiver (Rx) which can be, but not limited to, a Base Station (BS), a UE, a mobile station (MS), etc. The transmitter includes N_T transmit antenna ports connected to antenna arrays comprising of N^RF_T antennas via phase shifters. Similarly, the receiver includes N_R receive antenna ports connected to antenna arrays with N^RF_R antennas. The number of data streams N_s that could be transmitted simultaneously is limited by the number of RF chains at the transmitter and receiver, Ns≤min{N_T,N_R}. Hence the number of elements in each of the plurality of sets of best transmit receive beam pairs is limited by N_S.

The exemplary transmitter generates Beam Reference Signal (BRS) and sub-frame(s) (SF) of BRS are transmitted once every 5 ms comprising of N_SF=14 OFDM symbols. Each BRS are placed in the 1^st and 25^th sub-frames of the 10 ms radio frame comprising of 50 SFs.

In each BRS sub-frame, the OFDM symbols are generated in the following manner. Initially, Quadrature Phase Shift Keying (QPSK) modulation is performed on BRS sequences, r_l(m), where l and m vary as, (l=0, 1, . . . , N_SF−1), (m=0, 1, . . . , Nc=8[N^DL_RB−18]−1), and N^DL_RB=100 are generated from a pseudo-random sequence, where N_C is the length of the BRS sequence. The BRS sequences are a function of the OFDM symbol index 1 and the cell-ID N^cell_ID.

Consider r_l=[r_l(m)|m=0, 1, . . . , Nc−1]^T be the BRS sequence vector for the l^th OFDM symbol. The BRS sequences r_l(m) are then mapped to modulation symbols t^p_l(k), which is a BRS symbol associated with the p^th antenna port, where (p=0, 1, . . . , N_T−1), and the l^th OFDM symbol on the k^th subcarrier. Let t_l(k)=[t^p_l(k), |p=0, 1, . . . , N_T−1] be the corresponding vector.

The number of transmit antenna ports to N_T=8. The BRS symbols are given by:

t _l ^p(k)=g_p(m′)rl(m)  (1)

Here, g_p(m′), m′=m N_T is an antenna port specific cover sequence drawn from the p^th row of an N_T×N_T Hadamard matrix G. k=N^RB_sck′+k″, N^RB_sc=12 is the sub-carrier index for the modulated symbols, where (k″=4, . . . N_SF−1) and (k′=0, 1, . . . , [½(N^DL_RB−18)]−1, [½(N^DL_RB+18)], [½(N^DL_RB+18)]+1, . . . , N^DL_RB−1).

The frequency domain BRS symbols t_l^p(k) are OFDM modulated to obtain {tilde over (t)}^p_l(n) as follows

$\begin{array}{cc}{\tilde{t}}^{p_1}\left(n\right)=\frac{1}{\sqrt{\mathrm{NFFT}}}\sum _{K=0}^{\mathrm{NFFT}-1}t_l^p\left(k\right)e^{j}\frac{2\pi \mathrm{nk}}{\mathrm{NFFT}}& \left(2\right)\end{array}$

{tilde over (t)}^p_l(n) is cyclic prefixed (CP) to obtain t^p_l(n) which is the n^th sample of the l^th OFDM symbol associated with the p^th antenna port. Let t_l(n)=[t⁰_l(n), t¹_l(n), . . . , t_l^NT-1(n)] be the vector of samples at the n^th time instant that are fed to the N_T RF chains, from the l^th OFDM symbols. The beam formed output vector t_l(n) can be represented as

t′ _l(n)=W_lt_l(n)  (3)

Here, W_l is an N_TN^RF_T×N_T analog beam-forming matrix with a block diagonal structure given by

W _l=diag{a_t*(∅_o),a_t*(∅_l), . . . ,a_t*(∅_NT-1)}  (4)

where a_t*(∅i) with dimensions N^RF_T×1, corresponds to the analog steering vector for the i^th transmit array antenna (i=0, 1, . . . , N_T−1). ∅i is the azimuth steering angle from the antenna boresight corresponding to the analog beam former of the array antenna connected to the i^th RF chain. The elements of a_t*(∅i) are dependent on the array geometry and without loss of generality, only 2-D beamforming (linear array) is considered for simplicity. The techniques and results which are presented is applicable to arbitrary antenna arrays. The baseband precoding is not applied on the BRS symbols as based band precoding are used to estimate the analog RF beams only. The W_l can be expressed as

$\begin{array}{cc}{W}_l=\left[\begin{array}{cccc}{a}_t^{*}\left({\phi }_0\right)& 0_{N_T^{\mathrm{RF}}}& \dots & 0_{N_T^{\mathrm{RF}}}\\ 0_{N_T^{\mathrm{RF}}}& a_t^{*}\left({\phi }_1\right)& \dots & 0_{N_T^{\mathrm{RF}}}\\ ⋮& ⋮& \ddots & ⋮\\ 0_{N_T^{\mathrm{RF}}}& 0_{N_T^{\mathrm{RF}}}& \dots & a_t^{*}\left({\phi }_{N_T-1}\right)\end{array}\right]& \left(5\right)\end{array}$

Each a_t*(∅i) can take on a discrete set of possible values such as number of transmitter beams (N_TxB), depending on the quantized beamforming codebook design. Each set corresponds to a beam which is characterized by the antenna port number P_i and the beam index (beam-ID) B_j at the transmitter which is represented as T (P_i,B_j).

$\begin{array}{cc}{a}_t^{*}\left({Ø}_i\right)\leftrightarrow T\left(P_i,B_j\right)\begin{array}{c}i=0,1,\dots ,N_T-1\\ j=0,1,\dots ,N_{T\times B}-1\end{array}& \left(6\right)\end{array}$

At the receiver side, a mapping of a transmit beam index to an OFDM symbol in the BRS is obtained. The analog beams remain unchanged during one OFDM symbol duration. The time taken to transmit all the distinct beams is characterised by the beam transmission period (TBTP) denoted by Δt. This is illustrated in FIG. 1A with an example. T (P_m,B_n), W_l and a_t*(∅i) in (4) and (6) remain unchanged for the duration of the transmitted OFDM symbol and changes from symbol to symbol in the BRS sub-frames within every TBTP. In this way, the scheme sweeps across the maximum number of transmit beam training opportunities available.

At the receiver side, the transmitted signal passes through the millimeter wave channel and reaches each receiver RF chain. The CP portion of the signal is removed. The received signal y_l(k) with dimensions N_R×1 in the presence of additive white Gaussian noise (AWGN) on the k^th subcarrier can be expressed as

Yl(k)=V^T_lH_l(k)W_lt_l(k)+V^T_ln(k)  (7)

H_l(k) is an (N_RN^RF_R×N_TN^RF_T) frequency domain full channel matrix of the l^th OFDM symbol for the k^th subcarrier. The channel model is not presented here for brevity. W_l and hence H_l(k) change on an OFDM symbol basis as explained earlier. n(k)˜CN(0N_RN^R_R^F, σ²_nIN_RN^R_R^F) is the noise vector.

Similar to (4) and (5), V_l is the receive analog beamforming phase shifters expressed as a block diagonal matrix with dimensions N_RN^RF_R×N_R.

V _l=diag{a_r*(∅_o),a_r*(∅_l), . . . ,a_t*(∅_NR-1)}  (8)

where a_r*(∅i) with dimensions N^RF_R×1, corresponds to the analog steering vector for the i^th receive array antenna (i=0, 1, . . . , N_R−1) is the steering angle from the antenna boresight corresponding to the analog beam former of the array antenna connected to the i^th RF chain. Just as in the case of the transmitter, the a_r*(∅i) can take a discrete set of values, say number of receiver beams (N_RxB), wherein each set corresponds to a beam which is characterised by P_i and B_j. This can be represented as R(P_q,B_s).

$\begin{array}{cc}{a}_r^{*}\left({\theta }_i\right)\leftrightarrow R\left(P_i,B_j\right)\begin{array}{c}i=0,1,\dots ,N_T-1\\ j=0,1,\dots ,N_{R\times B}-1\end{array}& \left(9\right)\end{array}$

The beam-training protocol is explained at FIG. 1. A single beamformed communication link comprises of a channel associated with a pair of transmit beams T (P_m,B_n) and receive beams R(P_r,B_s) having an array gain of N^RF_TN^RF_R. This represents one of the SISO links. Let this 4-tuple be represented by A_i given by

A _i ={T(Pm,Bn),R(Pq,Bs)}  (10)

Here, i is defined as {0, N_TN_RN_TxBN_RxB−1}. The time taken at the receiver to obtain all possible channel measurements of A_i is referred to as the beam training period (RBTP) denoted by Δ_r. The object of the beam-forming protocol is to provide scope at the receiver to facilitate the measurement of these channels so as to decide on the optimal beam pairs for reliable communication.

The receiver fixes its beam, R(P_r,B_s)a_r*(∅_i) for the BRS subframes that fall within the duration of Δt and switches to the next receive beam for the next Δt and so on to sweep across all the beams in the Δr as seen in FIG. 1A. Hence the Δr can be expressed as Δr=N_RxBΔt. All the received OFDM symbols in the BRS subframes within the Δr, are influenced by the same receive beam R(P_r,B_s).

The objective of beam-selection methods is to estimate T (P_m,B_n)a_t*(∅_m) and R(Pq,Bs)a_r*(∅_q) from the received OFDM symbols y_l(k) in the BRS subframes for reliable communication. a_t*(∅_m) and a_r*(∅_q) that closely match the channels array response vectors so as to maximize the array gain and minimize the interference are desirable.

From FIG. 1A, y_l(k) provides information of the transmit and receive beam-ID but does not provide information of the ports. For this, the N_TN_RN_TxBN_RxB channel estimates are needed from y_l(k).

The effective beamformed channels from all the transmit antenna ports are estimated at each of the received antenna ports. Let Y_l=[y_l(0), y_l(1) . . . y_l(Nc−1)] be a N_R×N_C matrix formed from the received BRS symbols of the lth OFDM symbol. N_C is the length of the BRS sequence. The combined BRS received symbols of the transmit ports are separated from each other using a decovering operation on a per OFDM symbol basis to obtain the channel estimate as shown below:

Ĥ ^T _l({acute over (k)})=Gr_l[m:n]1N_TY^T_l[:,m:n]  (11)

Where m and n are given by

m={acute over (k)}N _T , n=m+N _T−1

{acute over (k)}=0,1, . . . ,N_h−1  (12)

Here, Ĥ^T_l({acute over (k)}) has dimensions N_R×N_T where each element corresponds to the channel estimate with its associated A_i. N_h=N_C/N_T are the number of channel estimation matrices obtained per OFDM symbol. Improved accuracy can be obtained by averaging the estimates over the channel coherence bandwidth.

The orthogonality property of the Hadamard sequences enable channel estimation of a particular transmit-receive beam pair combination of all the transmit and receive ports from each received OFDM symbol. Hence from one received OFDM symbol, {Ai|i=0, 1, . . . , N_RN_T} are obtained to estimate such channels. For the duration of Δt, N_RN_TN_TxB channels are obtained for the duration of Δt all N_RN_TN_TxBN_RxB channels are obtained at FIG. 1A.

FIG. 1B illustrates a schematic overview of a plurality of sets of directional links 105 between a transmitter antenna array 101 and a receiver 102 in a wireless communication network 100, according to a prior art as disclosed herein.

Consider an example scenario, where transmitter 101 includes transmitter antenna arrays 101a-101d connected to transmit antenna ports which transmit the plurality of directional links 105 to the receiver antenna arrays 102a-102b of the receiver 102 connected receiver antenna ports. The sets of plurality of directional links may include N links, e.g., including links 105a-105d between the transmitter antenna array 101 and the receiver antenna array 102.

For example, a BRS, denoted as #7, of the transmitter antenna array 101a may form the directional link 105a with a BRS, denoted as #2, of the receiver antenna array 102a; a BRS, denoted as #6, of the transmitter antenna array 101b may form the directional link 105b with a BRS, denoted as #2, of the receiver antenna array 102b; a BRS, denoted as #3, of the transmitter antenna array 101c may form the directional link 105c with a BRS, denoted as #6, of the receiver antenna array 102a; a BRS, denoted as #2, of the transmitter antenna array 101d may form the directional link 105d with a BRS, denoted as #6, of the receiver antenna array 102b.

In existing methods, the sets of plurality of directional links 105 may be determined during the BRS scan performed between the transmitter 101 and the receiver 102. Further, one or more sets of directional links are selected from the plurality of directional links 105 for an effective beam pair to perform a beamforming diversity communication (i.e., MIMO communication). The one or more directional links are selected from the plurality of directional links 105 based on a predefined selected criterion.

Candidate sets (set 1, set 2) of N_s MIMO streams B_j can be represented as

Bj={A0,A1,ANs−1}  (13)

The problem in beam selection in millimeter-wave MIMO systems is to find, in some sense, the optimal MIMO streams, as illustrated in FIG. 1B. The beam pair ordered set is found as

_max,N=[B_j|j=0,1, . . . ,N−1]  (14)

Such that

M(B₀)>M(B₁), . . . M(B_N-1)  (15)

Here M(⋅) represents a metric, whose maximization is employed to find the optimal beams. In (15), M (B₀) is metric associated with the optimal MIMO stream set, M (B₁) is the next optimal and so on. The optimal N beam sets are presented to the higher layers which can then be used to communicate the transmit beams to the BS.

In (7) the parameter N is configurable and can take {1, 2, 4} or other values. The optimal N rather than just a single maximum capacity based set of beams is needed for multiple reasons. In the event of beam-blockages and misalignments, the alternative beams can be used for communication albeit with lesser throughput. It also aids the BS in improved multi-user scheduling at the base station.

One choice of the metric is the received signal strength (RSS). The RSS is synonymously called received power. The RSS on the l^th OFDM symbol [S_l]_NR×NT is computed as follows

$\begin{array}{cc}{S}_l=\frac{1}{N_h}\sum _{k^{\prime }=0}^{N_b-1}{\hat{H}}_l\left(k^{\prime }\right)\circ {\hat{H}}_l^{*}\left(k^{\prime }\right)& \left(16\right)\end{array}$

The optimal N beams based on RSS maximization _max,Ns^S, finds the N beams at each receive port in descending order of the highest power.

_max,N ^S=arg{max[_l]}  (17)

(l=0, 1, . . . , N_TxBN_RxB−1). This method of beam selection is easy to implement. However, it is agnostic to the interferences from other MIMO streams with their associated beams and also other external interference.

A choice of the metric that considers the impact of interfering beams is the information capacity.

$\begin{array}{cc}I\left(B_j\right)=\sum _{k=0}^{N_c-1}{\log }_2I_{N_R}+{\hat{H}}_c\left(k,B_j\right)R_{\stackrel{\_}{\mathrm{tt}},k}{\hat{H}}_c^H\left(k,B_j\right)& \left(18\right)\end{array}$

Here Ĥ_C(k, Bj) is the N_s×N_s MIMO channel on the k^th subcarrier and

$R_{\stackrel{\_}{\mathrm{tt}},k}=\mathrm{diag}\left\{\frac{{\mathrm{SNR}}_{0,k}}{N_T},\frac{{\mathrm{SNR}}_{2,k}}{N_T},\dots ,\frac{{\mathrm{SNR}}_{N_T-1,k}}{N_T}\right\}$

The SNR_i,k here includes the array gain (N^RF_TN^RF_R) due to the transmit and receive beamforming. This method is attractive, but involves very high computational complexity even for typical values of the number of beams and antennas.

The optimal N sets of beam ID pairs is tabulated as below

	BP1	BP2	. . .	BPNS
1	TxiBIDj
	RxkBID1
2
3
.
.
.
N

	Parameter	Value 0	Value 1
	NT-Number of transmitter antenna ports	8	8
	NR-Number of receiver antenna ports	2	2
	Max MIMO Streams	2	2
	NTxBID-No. of transmitter beam ID	14	28
	NRxBID-No. of receiver beam ID	8	8
	Number of Beam-ID pair combinations to	3010561	12042241
	be searched for optimal 2 MIMO streams

The exhaustive search complexity is too high even for simple configurations. The typical time constraints from evolving 5G specification is less than 0.4 ms. Therefore real time constraints are not obtained using the existing methods As such, optimal solutions are required, with reduced complexity which reducing search space, exploiting sparsity, and provide sub-frame based processing.

FIG. 2 is a block diagram illustrating various hardware components of the receiver 102, according to an embodiment as disclosed herein. In an embodiment, the receiver 102 includes a communicator 220, a beam pair selector 230, a processor 240, and a memory 250.

The communicator 220 coupled with antenna 210 (e.g., RF antenna), can be configured to communicate with the various other apparatus (not shown) in the wireless communication network 100. In an embodiment, the other apparatus includes, for e.g., other base stations, mobile stations, remote terminals, the UE, and the like. Further, the communicator 220 can be configured to internally communicate with other components of the receiver 102.

The beam pair selector 230 is communicatively coupled with the communicator 220 and the processor 240. The beam pair selector 230 is configured to estimate and select the optimal beam ID pairs. The beam pair selector 230 includes a power and capacity computational unit 232 and a transmitter port selection unit 234.

The power and capacity computational unit 232 is configured to obtain a first power matrix and a second capacity matrix to determine the optimal beam pairs associated with transmit and receive ports. The optimal “N” beams of all the transmit antenna array for each receive antenna array based on an average power computation and energy thresholding. Further, the optimal “N” capacity or SINR maximizing beams are found from R⁰_Nt×P and R¹_Nt×P.-The detailed operation of the power and capacity computational unit 232 is provided in FIG. 3.

Unlike to conventional methods and systems, the proposed method can be used to provide a robust and reliable estimates of the optimal “N” sets of transmit and receive beam-pairs in MIMO communication systems with reduced complexity. The power and capacity computational unit 232 can be configured to determine the sets of optimal beams based on a sub-frame basis using the exhaustive beam-scan information. Thus, by virtue of the proposed method an up-to-date beam-pair information at the end of every BRS sub-frame can be obtained (as detailed in the FIG. 3).

Unlike to conventional methods and systems, the proposed method can be used to generate and update the first power matrix including the first power matrices for each of the receive port (e.g., sets of beam pairs for all transmit ports per receiver port for OFDM level processing). As the first power matrix only comprises the optimal beam pairs determined based on average power threshold of each such set of beam pairs meets the threshold, the search space required for computing the capacity maximization beam pairs (resultant from the average power measurement and thresholding) are reduced thereof. Further, the optimal beam pair obtained from the computation of the capacity maximization beam pairs (obtained from the first power matrix) are used to form the second capacity matrix, where one or more sets of optimal beam pairs associated with the transmit and receive ports is selected from the second capacity matrix.

The transmitter port selection unit 234 is configured to identify new transmit ports associated with optimal beams pairs per receiver port. In an embodiment, the transmitter port selection unit 234 is configured to compute the average power for each beam pair in the OFDM symbol level processing. The new transmit ports associated with the optimal beams pairs, retrieved from the OFDM symbol computation, are then computed in the sub-frame level. Further, the optimal beams pairs associated with updated transmit ports, retrieved from the sub-frame level computation, and are computed to determine the “set of beam ID pairs constituting the capacity maximization based on the sub-frame level computation. In an embodiment, a third matrix including the set of beam ID pairs per updated transmit port is created. The detailed operation of identifying the optimal set of beam ID pairs from the third matrix is explained in FIG. 4.

Unlike to conventional methods and systems, the proposed method can be used to provide a global optimum of pairs of optimal beams of all the MIMO streams.

The processor 240 performs actions based on the instructions provided by the beam pair selector 230. The processor 240 can be for e.g., a hardware unit, an apparatus, a Central Processing Unit (CPU). The memory 250 includes storage locations to be addressable through the processor 240. The memory 250 are not limited to a volatile memory and/or a non-volatile memory. Further, the memory can include one or more computer-readable storage media. The memory 250 may include non-volatile storage elements. For example non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. Further, the memory 250 can store the optimal “P” beam ID pairs which can be used for reliable communication (i.e., beamforming transmit and received data signals).

FIG. 3 is a block diagram illustrating various hardware components of the power and capacity computational unit 232, according to an embodiment as disclosed herein.

The power and capacity computational unit 232 includes a channel estimation unit 302, an average power computational unit 304, a capacity maximization computational unit 306, and a beam pair identification unit 308.

As detailed in the FIG. 1A, y_l(k) gives us all information of the transmit and receive beam-ID but does not give information of the ports. For this, the N_T N_R N_TxB N_RxB channel estimates are needed from y_l(k). Thus, the effective beam formed channels from all the transmit antenna ports are estimated at each of the received antenna ports (please refer to equations 11 & 12).

Further, from one received OFDM symbol, the channel estimation unit 302 is configured to obtain the estimates for {A_i|i=0, 1, . . . , N_R N_T} such channels for the duration of Δt, the channel estimation unit 302 obtains N_R N_TxB N_RxB channels and for the duration of Δr all N_T N_R N_TxB N_RxB channels are obtained (as detailed in the FIG. 1A).

The average power computational unit 304 is configured to eliminate low signal strength channels from the channels Ai using a power computation. For e.g., from each received “l” OFDM symbol, the average power computational unit 304 calculates S_l (as in (16).

In an embodiment, the average power computational unit 304 is configured to compare the S_l with a predefined power threshold P_th. If the S_l exceeds P_th then the average power computational unit 304 populate the transmitter antenna ports in a look up table (LUT) L_r, 0<r≤N_R−1 for each receiver antenna port.

In an embodiment, the LUT can be associated with the memory 250. In another embodiment, the LUT can be associated with a server remotely accessible by the receiver 130 using the wireless network. Each row of the LUTs are populated with the indices associated with optimal beam-ID pairs per transmit-receive port. The optimal beam ID pairs are defined as the beam ID pairs having maximum power. The L_r can be updated on a per-OFDM basis. The Lr is given as follows:

Lr[t,:]=arg{max_N{S_l[t,r]}}, r=0,1 . . . ,N_r-1

t=0,1 . . . ,N_T-1

l=0,1 . . . ,N_TxBN_RxB−1  (19)

The capacity maximization unit 306 is configured to identify whether the OFDM symbol processing in the BRS sub-frame is over. If the BRS sub-frame processing is high then the capacity maximization unit 306 is configured to perform capacity maximization search on the reduced set of beam ID pairs characterized by Lr.

In an embodiment, the CM of each beam ID pair will be selected based on the SINR associated with each beam. For e.g., if the “X” transmit beam and “Y” receive beam pair is considered to be associated with increased SINR then the “X” transmit beam and “Y” receive beam pair is said to be the beam pair with a maximum capacity.

In an embodiment, the CM computation unit 306 is configured to update the capacity maximization beam pair corresponding to each entry of Lr in (19) and form the second capacity matrix. The directional link Bi can be expressed as in (13) where

Bi={Aj→Lj[m,n], j=0,1, . . . ,NS−1}  (22)

Here (m=0, 1, . . . , N_T−1), (n=0, 1, . . . , N−1). The capacity maximizing streams of optimal “P” beam pairs can be expressed as

_max,N=arg[max_N{(B_i)}], i=0,1, . . . ,(N_TN)^Ns−1  (23)

The search space over which capacity is maximized is (N_TN)^Ns. The initial power computation based reduction in the search space makes the capacity based search space independent of NTxB and NRxB thus reducing the complexity.

The beam pair identification unit 308 is configured to identify the one or more sets of optimal beam pairs associated with the transmit and receive ports is selected from the second capacity matrix.

Therefore based on the above method, the search space is reduced from 3010261 to 1024.

	Parameter	Exhaustive	Proposed
	NT-Number of transmitter antenna ports	8	8
	NR-Number of receiver antenna ports	2	2
	Max MIMO Streams	2	2
	NTxBID-No. of transmitter beam ID	14	14
	NRxBID-No. of receiver beam ID	8	8
	Number of Beam-ID pair combinations to	3010561	1024
	be searched for optimal 2 MIMO streams

FIG. 4 is a block diagram illustrating various hardware components of the transmitter port selection unit 234, according to an embodiment as disclosed herein. The transmitter port selection unit 234 includes a channel estimation unit 402, an average power computational unit 404, a transmitter port identifier 406, a capacity maximization computational unit 408.

The channel estimation unit 402 is configured to obtain the estimates for {Ai|i=0, 1, . . . , NR NT} such channels for the duration of Δt, the channel estimation unit 302 obtains NR NTxB NRxB channels and for the duration of Δr all NT NR NTxB NRxB channels are obtained (as detailed in the FIG. 1A).

The average power computational unit 404 is configured to obtain the new transmit ports associated with optimal beams pairs per receiver port. The new transmit ports associated with the optimal beams pairs are retrieved from the OFDM symbol computation and then computed in the sub-frame level. In an embodiment, the average power computational unit 404 is configured to compute the average power for each beam pair in the OFDM symbol level processing. Further, the optimal beams pairs associated with updated transmit ports, retrieved from the sub-frame level computation, and are computed to determine the “P” beam ID pairs constituting the capacity maximization based on the sub-frame level computation as explained in FIG. 3. In an embodiment, average power computational unit 404 is configured to generate the third matrix including the “P” beam ID pairs per updated transmit port.

In an embodiment, the transmit port identifier 406 is configured to continuously update the third matrix with both new and old transmitter ports identified in the BRS sub-frame level.

The capacity maximization computational unit 416 is configured to perform a two stage capacity maximization on the reduced set of beam ID pairs characterized by Lr to identifying the capacity maximizing beam ID pairs _max,1^I with reduced complexity. Hence the ordered set optimal beams can be expressed as

_max,1 ^I=[B_j|j=0]={₀,₁}  (24)

The two stage capacity maximization include (i) diagonal search, (ii) global optimal search. The detailed operation of both diagonal search and global optimal search are provided in FIG. 7.

FIGS. 5A-5B is flow diagram illustrating a method of selecting beam ID pairs associated with a transmitter antenna array and a receiver antenna array, according to an embodiment as disclosed herein;

At step 502, the method includes generating a first matrix of transmitter antenna ports and optimal beam ID pairs per receiver port. In an embodiment, the method allows the power and capacity computational unit 232 to generate a first matrix of transmitter antenna ports and optimal beam ID pairs per receiver port. At step 504, the method includes determining the sub-frame processing is high or not. If the sub-frame processing is high, then the method includes reading OFDM symbols and other configuration parameters associated with transmitter antenna ports and optimal beam ID pairs, at step 506. Alternatively, if the sub-frame processing is low, then the method includes determining again the sub-frame processing is low, at step 508.

In an embodiment, the method allows the power and capacity computational unit 232 to read OFDM symbols and other configuration parameters associated with transmitter antenna ports and optimal transmit and receive beam ID pairs for each and every receiver port.

At step 510, the method includes estimating channels associated with at least one transmit port from a plurality of transmit ports associated with each receive port from a plurality of receiver ports. In an embodiment, the method allows the channel estimation unit 302 to estimate channels associated with at least one transmit port from a plurality of transmit ports associated with each receive port from a plurality of receiver ports.

At step 512, the method includes computing average power level of each receiver port for the at least one transmit port based on estimated channel. In an embodiment, the method allows the average power computational unit 304 to compute average power level of each receiver port for the at least one transmit port based on estimated channel.

At step 514, the method includes comparing the average power level of each receiver port with the predefined power threshold. In an embodiment, the method allows the average power computational unit 304 to compare the average power level of reach receiver port with the predefined power threshold.

If the average power level of each receiver port is greater than the predefined power threshold then the method includes updating the first matrix having at least one transmit port and beam ID pairs associated with each receive port and maintain time stamp based on beam scan period, at step 516. In an embodiment, the method allows the average power computational unit 304 to update the first matrix having at least one transmit port and beam ID pairs associated with each receive port and maintain time stamp based on beam scan period.

Alternatively, if the average power level of each receiver port is not greater than the predefined power threshold then the method includes reading again the OFDM symbol and other configuration parameters associated with transmitter antenna ports and optimal beam ID pairs, at step 518 without updating the first power matrix.

At step 520, the method includes determining whether the OFDM symbol processing in symbol is over or not. In an embodiment, the method allows the capacity maximization unit 306 to determine whether the OFDM symbol processing in symbol is over or not.

If the OFDM symbol processing in symbol is over, then the method includes determining whether the sub-frame update is high or not at step 520. In an embodiment, the method allows the capacity maximization unit 306 to determine whether the sub-frame update is high or not. Alternatively, if the OFDM symbol processing in symbol is not over, then the method includes reading again the OFDM symbol and other configuration parameters associated with transmitter antenna ports and optimal beam ID pairs, at step 520.

At step 522, the method includes determining whether the sub-frame update is high or not. In an embodiment, the method allows the capacity maximization unit 306 to determine whether the sub-frame update is high or not.

If the sub-frame update is high then the method includes computing from first matrix of transmitter antenna ports and optimal beam ID pairs of all receiver ports, at step 524. In an embodiment, the method allows the capacity maximization unit 306 to compute capacity/SINR from first matrix of transmitter antenna ports and optimal beam ID pairs of all receiver ports.

Alternatively, if the sub-frame update is not high then the method includes indicating the sub-frame level as low. In an embodiment, the method allows the capacity maximization unit 306 to update the sub-frame level as low.

At step 526, the method includes updating a second matrix of sets of optimal beam pairs based on Capacity/SINR computation and update time stamp of entries of the second matrix. In an embodiment, the method allows the beam pair identification unit 308 to update a second matrix of sets of optimal beam pairs based on Capacity/SINR computation and update time stamp of entries of the second matrix.

FIG. 6 illustrates a matrix 600 for selecting a plurality of set of optimal beam ID pairs, according to a prior art as disclosed herein.

Consider an example scenario, having N_T=N_R=N_S=2, N_TxB=4 and N_RxB=3 which forms the matrix 600. A point ‘C’ associated with a beam ID pair (Tx₀BID₃, Rx₀BID₀) is the capacity maximizing optimal point that needs to be estimated at the receiver 102. In conventional method, to identify the optimal beam ID pair a diagonal search is performed across the matrix 600 and the local maxima position ‘A’ is identified. However, during the diagonal search the point ‘C’ is not identified which the optimal beam ID pair are not known. Therefore, to avoid this complexity the FIG. 7 is proposed with the solution.

FIG. 7 illustrates a matrix 700 for selecting a plurality of set of the optimal beam ID pairs, according to an embodiment as disclosed herein. Consider an example scenario of the N_T=N_R=N_S=2, N_TxB=4 and N_RxB=3 which form the matrix 700.

To identify the optimal beam ID pair a two stage capacity maximization based method is used as it is applicable only for N=1. The two stage capacity maximization based method estimates capacity maximizing beam pair set _max,1^I with reduced complexity. Hence the ordered set optimal beams can be expressed as (24).

The two stage capacity maximization includes (i) diagonal search, (ii) global optimal search.

(i) Diagonal Search:

The diagonal search constrains the indices to compute (18) to the following:

(q=s)=0,1, . . . ,N_RxB−1

(p=r)=0,1, . . . ,N_TxB−1  (25)

Ĥ_c(k, B_j) matrix is obtained as in (20) from the indices in (25) and substitute the result in (18). With these restrictions, the capacity maximizing MIMO stream is obtained. By restricting the search space from (21) to these indices in (25), a local capacity maxima is arrived. At least one of the optimal beam-pairs A₀ or A₁ in (24) is present in this. Hence a local maxima is obtained such that

′_max,1={_p,_q}={₀,_q} or {_p,₁}  (26)

Owing to (25) this stage has a search space complexity of N_TxBN_RxB. To resolve the ambiguity in ′_max,1 in (26) and arrive at the global solution, the next stage is required.

(ii) Global Optimum Search:

In this stage, the local maxima indices in (26) is used to arrive at the global maxima. Here as a first step the index A_p is kept fixed and A_q is varied across all possibilities. Hence the indices in (19) are varied as follows

s=0,1, . . . ,N_RxB−1

r=0,1, . . . ,N_TxB−1  (27)

For each index in (26), Ĥ_c(k, B_j) as in (20) is computed and substituted in (18) and the optimal MIMO stream is obtained. Let the maximum capacity beam at this step be represented as ″_max,1. Next the index set A_q is kept fixed and A_p is varied as follows

q=0,1, . . . ,N_RxB−1

p=0,1, . . . ,N_TxB−1  (28)

For each of these indices, the capacity as in (18) is computed using the same procedure as before. Let the maximum capacity beam at this step be represented as ′″_max,1. The maximum capacity beam-pair set of all these is chosen as the optimal beam-ID pair stream.

_max,1 ^I=arg max{(′_max,1,″_max,1,′″_max,1)}  (29)

The complexity of the global optimum search stage is given by N_sN_TxBN_RxB. The overall complexity of this scheme turns out to be N_TxBN_RxB(1+N_s).

In FIG. 7 a point ‘C’ associated with a beam ID pair (Tx0BID3, Rx0BID0) is the capacity maximizing optimal point that needs to be estimated at the receiver 102. To identify the optimal beam ID pair, first the diagonal search (i.e., step 1) is performed across the matrix 700 which the local maxima position ‘A’ is identified as per the equation (26). Further, the local maxima position ‘A’ is anchored to perform the global optimal search (i.e., step 2) as per (27) and (28). After performing the global optimal search (i.e., step 2) the global optimal position ‘C’ is obtained as per (28).

Unlike the conventional methods and systems, the proposed method identify the optimal beam ID pairs using both the diagonal search and the global optimal search.

FIG. 8 is a graph representing a probability of correct detection comparison of the hybrid power and capacity maximization scheme with the received signal strength based scheme in presence of interference, according to an embodiment as disclosed herein.

In FIG. 8, a curve ‘A’ represents a capacity metric and a curve ‘B’ represents a power metric. The BRS based channel estimation are used for both power and capacity metric computations. The probability of correct beam pair detection (Pcd) is plotted against SNR (Db) interference scenario. Further, capacity metric based RF beam search technique outperforms SNR/Power based techniques by >2 dB and gains expected to increase under inter-cell/inter-BS interfering scenarios.

The embodiments disclosed herein can be implemented using at least one software program running on at least one hardware device and performing network management functions to dynamically control the elements. The elements shown in FIG. 1 through 8 include blocks which can be at least one of a hardware device, or a combination of hardware device and software module.

The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the Meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.

Claims

1. A method of selecting a plurality of sets of optimal transmit beam pairs and receive beam pairs in a wireless communication system, the method comprising: estimating, by a receiver, channels associated with a plurality of transmit ports for each receive port from a plurality of receive ports; anddetermining, by the receiver, the plurality of sets of optimal transmit beam pairs and receive beam pairs using:average power level at each receive port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs,a set of first power matrices, wherein each first power matrix, from the set of first power matrices, comprises at least one transmit port, transmit beam ID and receive beam ID pairs associated with each receive port, wherein the set of first power matrices is formed based on the average power level at each of the receive port, anda second capacity matrix formed based on capacity maximization obtained from the set of first power matrices, wherein the plurality of sets of optimal transmit beam pairs and receive beam pairs associated with each of the transmit and receive port is selected from the second capacity matrix.

2. The method of claim 1, wherein the average power level at each receive port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs is determined by: computing the average power level at each receive port for at least one transmit port based on the estimated channel; anddetermining that the average power level of each receive port for at least one transmit port meets a power level threshold.

3. The method of claim 1, wherein the capacity maximization, obtained from the set of first power matrices, is determined based on one of maximizing a Signal-to-Interference plus noise ratio (SINR) and a function of SINR associated with one or more sets of transmit beam and receive beam pairs associated with the plurality of receive antenna ports.

4. The method of claim 1, wherein one or more sets of capacity maximizing beam pairs comprises of a number of elements where each element is associated with a transmit port number, a receive port number, the transmit beam ID and the receive beam ID pairs.

5. The method of claim 1, wherein determining the plurality of sets of optimal transmit beam pairs and receive beam pairs comprises: identifying at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a third matrix;anchoring the at least one transmit beam ID and receive beam ID pairs identified in the third matrix;performing a scan over at least one transmit beam ID and receive beam ID pairs in the third matrix using the at least one anchored transmit beam ID and receive beam ID pairs; anddetermining, by the receiver, the plurality of sets of optimal transmit beam pairs and receive beam pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

6. The method of claim 5, wherein the third matrix is determined based on the estimated channel associated with at least one transmit port from a plurality of transmit ports associated with each receive port from a plurality of receive ports.

7. A method of selecting a plurality of sets of optimal transmit beam pairs and receive beam pairs in a wireless communication system, the method comprising: estimating, by a receiver, channels associated with a plurality of transmit ports for each receive port from a plurality of receive ports; anddetermining, by the receiver, the plurality of sets of optimal transmit beam and receive beam pairs by:identifying at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a first matrix,anchoring, by the receiver, the at least one transmit beam ID and receive beam ID pairs identified in the first matrix,performing, by the receiver, a scan over at least one transmit beam ID and receive beam ID pairs in the first matrix using the at least one anchored transmit beam ID and receive beam ID pairs, anddetermining, by the receiver, the plurality of sets of optimal transmit beam pairs and receive beam pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

8. The method of claim 7, wherein the first matrix is determined based on the estimated channel associated with a plurality of transmit ports for each receive port from a plurality of receiver ports.

9. The method of claim 7, wherein at least one set of optimal transmit beam and receive beam pairs from the plurality of sets of optimal transmit beam and receive beam pairs comprises of a number of elements where each element is associated with a transmit port number, a receive port number, the transmit beam ID and the receive beam ID pairs.

10. A receiver for selecting a plurality of optimal beam pairs in a wireless communication system, the receiver comprises: a memory,a processor, coupled to the memory, anda beam pair selector, coupled to the processor, configured to:estimate channels associated with a plurality of transmit ports for each receive port from a plurality of receiver ports for transmit beam and receive beam pairs; anddetermine the plurality of sets of optimal transmit beam and receive beam pairs using:average power level at each receive port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs,a set of first power matrices, wherein each first power matrix, from the set of power matrices, comprises at least one transmit port, transmit beam ID and receive beam ID pairs associated with each receive port, wherein the set of first power matrices is formed based on the average power level at each of the receive port, anda second capacity matrix formed based on capacity maximization obtained from the set of first power matrices, wherein the plurality of sets of optimal transmit beam pairs and receive beam pairs associated with each of the transmit and receive ports is selected from the second capacity matrix.

11. The receiver of claim 10, wherein the average power level at each receiver port for at least one transmit port based on the estimated channel associated between the transmit beam and receive beam pairs is determined by: computing the average power level at each receive port for at least one transmit port based on the estimated channel; anddetermining that the average power level of each receive port for at least one transmit port meets a power level threshold.

12. The receiver of claim 10, wherein the capacity maximization obtained from the set of first power matrices is determined based on one of maximizing a Signal-to-Interference plus noise ratio (SINR) and a function of SINR associated with one or more sets of transmit beam and receive beam pairs associated with the plurality of receive antenna ports.

13. The receiver of claim 10, wherein one or more sets of capacity maximizing beam pairs comprises of a number of elements where each element is associated with a transmit port number, a receive port number, the transmit beam ID and the receive beam ID pairs.

14. The receiver of claim 10, wherein determining one set of optimal transmit beam and receive beam pairs comprises: identifying at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a third matrix;anchoring the at least one transmit beam ID and receive beam ID pairs identified in the third matrix;performing a scan over at least one transmit beam ID and receive beam ID pair in the third matrix using the at least one anchored transmit beam ID and receive beam ID pairs; anddetermining the plurality of sets of optimal transmit beam pairs and receive beam pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

15. The receiver of claim 14, wherein the third matrix is determined based on the estimated channel associated with at least one transmit port from a plurality of transmit ports associated with each receive port from a plurality of receiver ports and the associated transmit beam and receive beam pairs.

16. A receiver for selecting a plurality of sets of optimal transmit beam pairs and receive beam pairs in a wireless communication system, the receiver comprises: a memory,a processor, coupled to the memory, anda beam pair selector, coupled to the processor, configured to:estimate channels associated with a plurality of transmit ports for each receive port from a plurality of receive ports, anddetermine the plurality of sets of optimal transmit beam and receive beam pairs by:identifying at least one transmit beam ID and receive beam ID pairs by traversing diagonally across a first matrix,anchoring the at least one transmit beam ID and receive beam ID pairs identified in the first matrix,performing a scan over at least one transmit beam ID and receive beam ID pairs in the first matrix using the at least one anchored transmit beam ID and receive beam ID pairs, anddetermining the plurality of sets of optimal beam transmit beam pairs and receive pairs based on the scan over the at least one anchored transmit beam ID and receive beam ID pairs.

17. The receiver of claim 16, wherein the first matrix is determined based on the estimated channel associated with a plurality of transmit ports for each receive port from a plurality of receiver ports and the associated transmit beam and receive beam pairs.

18. The receiver of claim 16, wherein at least one set of optimal transmit beam and receive beam pairs from the plurality of sets of optimal transmit beam and receive beam pairs comprises of a number of elements where each element is associated with a transmit port number, a receive port number, the transmit beam ID and the receive beam ID pairs.