The disclosure of the present patent application relates to cellular communication networks, and particularly to a system and method for maintaining communications in a cellular network that helps to reduce broken links between a base station and a mobile station.
Since the 1990s, cellular communication networks have become a staple in modern society. Cellular networks allow the transmission of voice and data from lightweight, low power devices, such as cellular telephones, tablets, laptops, etc. (generally referred to as mobile stations) over a great range through cells of land-based base stations (or satellite communications links). Cellular networks generally operate at microwave frequencies (300 MHz and up, or at millimeter wavelengths). Since the mobile stations operate at very low power (typically at less than 10 W) at millimeter wavelengths, and even the base stations operate at 100 W or less (typically with directional antennas aimed in three different directions per cell), there is sometimes a problem with the signals dropping out due to obstructions (such as trees, buildings, meteor showers (for satellite links), etc.) between the base station and the mobile station, particularly when the mobile station moves during transmission. Thus, a system and method for maintaining communications in a cellular network solving the aforementioned problems is desired.
The system and method for maintaining communications in a cellular network provides for automatically generating a bundle of partially overlapping beams when the primary link between a base station (BS) and a mobile station (MS) degrades so that the signal-to-noise ratio (SNR) of a received transmission falls below a defined threshold. The overlapping beams are generated by a beamformer having a circular array of antennas, the array being divided into groups radiating the signal in adjacent but partially overlapping sectors at an amplitude determined by extended Hamming codes having zero cross correlation. The bundle is radiated over a 360° pattern so that it overlaps the blocked signal. The MS demodulates and retrieves received signals having the highest correlation. The recovery time is quicker than conventional systems and methods, e.g., 200 microseconds when the MS uses a narrow pencil beam (5° beamwidth).
These and other features of the present subject matter will become readily apparent upon further review of the following specification.
Similar reference characters denote corresponding features consistently throughout the attached drawings.
The system and method for maintaining communications in a cellular network provides for automatically generating a bundle of partially overlapping beams when the primary link between a base station (BS) and a mobile station (MS) degrades so that the signal-to-noise ratio (SNR) of a received transmission falls below a defined threshold. The overlapping beams are generated by a beamformer having a circular array of antennas, the array being divided into groups radiating the signal in adjacent but partially overlapping sectors at an amplitude determined by extended Hamming codes having zero cross correlation. The bundle is radiated over a 360° pattern so that it overlaps the blocked signal. The MS demodulates and retrieves received signals having the highest correlation. The recovery time is quicker than conventional systems and methods, e.g., 200 microseconds when the MS uses a narrow pencil beam (5° beamwidth).
A link recovery scheme is proposed for standalone (SA) millimeter wave cellular networks. This reactive scheme provides link fault-tolerance by providing a bundle of redundant backup beams for the failed link. Once the primary link between the base station (BS) and the mobile station (MS) is degraded (blocked primary link), then a bundle-beam is radiated that covers the spatial direction of the blocked beam. The failure alarm for the primary link that is affiliated with the optimum BS beamforming and MS combining vectors (primary beams) is when the received signal to noise ratio (SNR) drops below a specific threshold, after which the spectral efficiency and channel capacity is degraded.
Furthermore, a multi-beam analog beamformer (ABF) is proposed that radiates simultaneous, adjacent partially-overlapping beams (bundle). This is opposed to existing analog beamforming architectures that are limited to a single beam radiation. The antennas in the circular array of the proposed analog beamformer are divided into groups (sections). A single beam is radiated from each section in a specific direction. As a result, the multiple sections here radiate multiple simultaneous adjacent beams that are partially overlapped. The antennas in each section are connected to a section of phase shifters, where each antenna has its own phase shifter (number of antennas is equal to the number of phase shifters). Hence each antenna section has its own phase shifter section. The phase shift (in angles) is the same for all the antennas in each section. This creates a constructive signal pattern in each section from all its antennas. Similarly, the adjacent section has its own phase shift value, fed to all antennas from the phase shifters. Adjacent sections have adjacent partially overlapped radiated beams that point at a different angle. For example, the overall constructive beam from section A is pointed towards 90° degrees, with a beamwidth of 15°. Meanwhile, Section B is pointed (directed at) towards 100° with the same beamwidth. This extends until all the spatial directions [0°, 360° ] are covered simultaneously by the beams. Therefore, this ABF can support spatial diversity and spatial multiplexing (when using time division multiplexing), despite having a single RF chain.
When a blockage occurs, the BS then uses the bundle (that overlays the blocked beams like an umbrella) to transmit using the multi-beams. Therefore, the MS uses equal gain combining (EGC) in order to strengthen the signals from all the directions of the beams in the bundle. Then, the signal level will increase by multiple folds.
In the case of multi-users, it is important to distinguish the incoming signals from the different beams, since all the sections are connected to a single RF chain, i.e., all sections in a bundle carry the same modulated signal. In order to distinguish bundles for different users, the orthogonality concept is applied. Namely, the adjacent beams radiated from the ABF are orthogonal in order to avoid interference, and in order to extract the signal of interest received from different directions, which can be affiliated with a specific direction and user. This orthogonality is reserved by proposing setting values for the antenna weights in the circular array of the ABF. In particular, the amplitudes of the antennas are chosen using extended Hamming codes, which feature zero cross correlation. New codes are developed here that are applied to the antenna amplitude weights. Therefore, each beam from each section in the bundle have a unique code.
Thus, distinguishable signals are generated from each beam in the bundle, by having unique spatial signatures in each direction. These codes are similar at the BS and MS. At the MS side, the received signals are multiplied (correlated) by all the codes, then the signal that results in the highest correlation indicates signals of interest (SoI) that need to be demodulated and retrieved. Meanwhile, the received signals that result in zero cross-correlation are discarded (for other users).
Furthermore, for the first time, an analog beamformer is designed using circular antenna arrays, in order to achieve symmetric beamwidth at all spatial directions, thus avoiding beam broadening in the end-fire direction, as is the case in uniform linear arrays), as well as reduced sidelobe levels (SLL).
The proposed scheme delivers one the fastest recovery schemes in the millimeter wave literature, where near-instantaneous link recovery is established between the BS and MS. This alternative link is formed once blockage is triggered for the primary link. The proposed reactive scheme eliminates the requirements for beam scanning, or any search for alternative directions. Namely, the direction of the blocked beam is realized in one of the directions of the beams in the bundle, but at higher directivity. This directivity introduces higher gain margins that compensate for the losses caused by the obstacles. Moreover, the additional beams in the bundle create a rich scattering profile, thereby increasing the rays and clusters in the received signal profile. This enables the MS to leverage equal gain combining and other diversity techniques to enhance the signal quality, thus increasing the signal quality, channel capacity, spectral efficiency, without any drops in the communication sessions.
Finally, the near-instantaneous recovery times for the proposed scheme make mmWave networks suitable for real-time delay-sensitive services that require very reduced latencies. Namely, the recovery times are among the shortest times reported in the literature. Specifically, 200 microseconds are required when the MS is using a narrow pencil beam (5° in beamwidth), i.e., 64 total beams in the spatial domain.
Consider a mobile station (MS) equipped with an analog beamformer that is composed of parallel uniform linear arrays (ULA), where each ULA radiates a single beam, i.e., forming simultaneous multiple beam radiation in different directions. Each antenna is connected to a single analog phase shifter to provide continuous scanning capabilities (as opposed to step scanning in digital phase shifters). The ULAs are then connected to a single RF chain, as shown in
In the present system, a multi-beam parallel array model is proposed at the mobile station (MS). Consider a mobile station (MS) equipped with a group of r=1, 2, . . . , R parallel arrays, each composed of n=1, 2, . . . , Nr co-polarized antenna elements arranged in a linear geometric setting, i.e., forming one-dimensional radiation (1D). The elements are uniformly oriented with dr equidistant spacing, i.e., d=λ/2, where λ represents the mmWave wavelength, λ=c/fc, where c is the speed of light, and fc is the carrier frequency. This spacing value is chosen so that the grating lobes and pattern blindness are avoided, as well as to ensure that there are minimal mutual coupling effects. Thus, it satisfies the formula d<(1+|θ0r|), where the variable θ0r is the observation angle from array r at the mobile station (MS) in azimuth direction.
The maximum radiation pattern for the array points along θ0r scanning directions for an even number of elements in any spatial direction is expressed by the closed-form normalized array response vector at each array r at the mobile station (MS), which, in turn, is represented by the periodic array factor (AF), AMSr. This is expressed as:
where the variable an denotes the amplitude excitation for the n-th antenna element, kv=2π/λ represents the wave number, and βMSr symbolizes the relative progressive phase shift between the interconnected antenna elements at array r at the mobile station (MS). Note that φMS=kd cos θ0MS+βMS is a compact form that represents the array phase function at the mobile station (MS) with a visible region that varies between −kd≤φMS≤kd. Moreover, the half-power beamwidth (HPBW) at the broadside and scanning directions, i.e., ∀θ0MS(θ0MS:0<θ0MS≤π), is expressed as:
whereas the HPBW at the end fire direction is computed as:
ϕend fireMS=2 cos−1(1−1.391λ/NMSyd), for θ0MS=0,π. (3)
It is important to note that the spatial footprint of the array increases proportionally to a broadening factor of b, b=1/cos θ0MS, for directions scanned off the broadside. Moreover, the array gain is gauged by GA
Each antenna array is fed in parallel by an array of P phase shifters, in particular, quadrature varactor-loaded transmission-line phase shifters. The total number of phase shifters is equal to the number of antennas. Varactor phase shifters are chosen due to their high shifting times (in μs), low power requirements, reduced loss rates, and capability to continuously adjust and control the [0, 2π] spatial plane using a single control voltage unit. The phase shifters are then connected to a single RF chain. Overall, this structure formulates an analog beamformer composed of multiple radiated beams that carry the same modulated data. The benefit of using an analog beamformer here is to reduce the power consumption levels associated with the RF chains, as in the case of digital and hybrid architectures. Since a single RF chain is used at the mobile station (MS), the orthogonal beam coding technique is adopted herein. Namely, the weights of the antenna elements are modified by a unique set of codes to produce unique beams of distinguished signals. The orthogonal codes here create distinguishable spatial signatures for each beam-bundle, and thereby can identify the exact direction of the highest received signal in the beam-bundle from that particular section.
The method exploits orthogonal Hamming codewords, cm, i.e., cm[e, dH], where e is the codeword length, and dH is the Hamming distance between successive codewords. Additionally, each codeword is scaled by the control signals, z, and features [1, 2, . . . , F] codebits, where F is the total number of codebits. Consider the following codewords developed for a single beam-bundle, represented as:
These codewords feature zero cross correlation, which yields orthogonal beams in the bundle, hence, receiving distinguishable signals from the direction of the beams. Each codebit in the Hamming codeword is applied to the weight of the single antenna, where the number of codebits F is equal to the number of antennas Nr in the parallel array r. The codebit is either “1” or “−1”. If it is “1”, then the weight of the antenna remains the same, i.e., the same amplitude and phase. If the codeword is “4”, then the conjugate is applied to the weight, i.e., keeping the same amplitude and rotating the phase by π. These codes are reciprocal at the mobile station (MS) and the base station (BS). Therefore, when a signal is received at the base station (BS), it is basically receiving one codeword. The BS multiplies the received codeword (appearing in the weights of the antennas) by all four codewords in order to retrieve the unique codeword and its affiliated beam in the bundle. As a result, the base station (BS) now identifies the direction with the highest signal level.
Digital beamforming is implemented at the base station (BS) due to the abundant power input levels, and the necessity to provide multi-user connectivity. The beamformer architecture shown in
where the angles ϕ and φ represent the direction along the y- and x-axes, ϕnBS is the angular position of the nth antenna, and where φnBS=2πnBS/NBS. The variables In, v, and ϕsBS in Equation (5) symbolize the amplitude of the nth antenna, the wave number, and the maximum radiation principal at the base station (BS), evaluated as:
φ0BS=va sin θ0BS cos(ϕ0BS−ϕnBS). (6)
Consider mobile station (MS) and base station (BS) entities operating in LoS settings in urban outdoor environments composed of various objects in proximity to the mobile station (MS). In addition, a full duplex division duplexing (FDD) channel of reciprocal channel state information (CSI) is implemented at both entities. Then, the downlink (DL) received signal profile at the mobile station (MS), γan, is expressed as:
γbb=PtrUMSHVBSHz+UMSHw, (7)
where Ptr, H, z, and w denote, in order, the transmitted signal power, the power complex channel, the reference control signal, and the additive Gaussian noise (AWGN), i.e., w˜N(0, σw2), where σw2 is the noise variance.
The geometric channel model, H, is employed herein due to the scattering nature of mmWave propagation. This is highly attributed to the large obstacle dimensions, as compared to the propagating wavelength in these bands. Consequently, this yields a reduced scattering profile, and hence results in a poor scattering signal profile for a low number of rays, i.e., a Poisson distribution. In turn, this results in high dependence on the geometry of the objects in the propagation link. This model is expressed as:
where Γbl and hl represent the blockage path loss model, and the gain of the l-th path. The signal profile here is composed of L total number of paths that are observed in the K total number of clusters, i.e., L ∈ K. These paths follow Rician distribution that accounts for the LoS-to NLoS plink transition caused by blockage effects. Namely, the path gain is modeled as hl˜R(0, ζ), where ζ is the power ratio between the dominant and other paths. Moreover, the beamforming and combining matrices, VBS and UMS
As mentioned above, the blockage path loss model, Γbl, accounts for LoS-to-NLoS transition when obstacles of different densities are present in the direct propagation link affiliated with the main beam. This model is formulated as follows:
Γbl=[(d)]ΓLoS(d)+[1−(d)]ΓNLoS(d), (9)
where is an indicator function that specifies the link-blockage state, i.e., (x)=1 iff x=1, and it is set as (x)=0 otherwise. Moreover, the variables ΓLoS(d) and ΓNLoS(d) represent the path loss for LoS and NLoS settings, respectively, expressed as:
ΓLoS(d)=10 log10(dref)+10δLoS log10(d) for LoS, (10)
ΓNLoS(d)=10 log10(dref)+10δNLoS log10(d) for NLoS, (11)
where the variable d represents the distance between the base station (BS) and the mobile station (MS), dref is the close-in reference distance, and δLoS and δNLoS are the path loss exponents (PLE) for the LoS and NLoS settings, respectively. Moreover, the notations (d) and (1−(d)) denote LoS and NLoS probabilities at the distance d. Here, the probability is (d)=exp(−ρd), where ρ is the blockage parameter that accounts for obstacles of different dimensions and densities. Note that the higher the blockage parameter, the more blockage effects are caused to the link.
The mobile station (MS) and base station (BS) operate on a standalone (SA) mmWave network in LoS settings of Rician scattering. During the initial access stage, an iterative random search is conducted over all spatial directions at the mobile station (MS) and base station (BS). The process returns the best beamforming and combining vectors (best pointing directions) that yield the highest received signal level, modeled as:
(uMS,vBS)bst=max(γu,v), (12)
where these best vectors (uMS, vBS)bst present the maximum principal directions of the primary beams at the mobile station (MS) and the base station (BS), which are selected for the data-plane transmission. Now, once the session starts, the spectral efficiency can take various levels based on the link quality. First, when the link is in LoS, it features high link quality without obstacles (blockage parameter is zero), (x)=0, as well as high instantaneous spectral efficiency, δinst.
When the obstacles in the propagating path become present in the direct link associated with the main beam, its starts to exhibit instantaneous low spectral efficiency, and then blockage mode is in effect. Here, the indicator function is set as (x)=1 to indicate the LoS to NLoS transition. The blockage threshold is set based on the spectral efficiency level, as:
δinst<min{log2(1+100.1(SNR-Ω)),δmax}, (13)
where SNR stands for the signal-to-noise ratio, the variable Ω denotes the loss factor (measured in dB), and δmax represents the maximum spectral efficiency. Note that the SNR is expressed as:
where Ψ, denotes the Boltzmann constant, T0 is the operating temperature, is the channel bandwidth, and GMS and GBS are the array gains at the mobile station (MS) and the base station (BS), respectively, and GMS=gnUMS and GBS=gnVBS, where gn is the gain for a single antenna element.
When the main beam is blocked, the mobile station (MS) and the base station (BS) initiate the beam-bundle as the backup beams to compensate for the signal losses with the main beam, as shown in
One major performance metric for beam recovery methods is the beam recovery time. It is defined as the overall time period that is required to determine an alternative link direction once the direct link of the main beam is blocked. Namely, it is the period required to determine the new best beamforming and combining vectors, and their principal directions at the mobile station (MS) and the base station (BS).
It is to be understood that the system and method for maintaining communications in a cellular network is not limited to the specific embodiments described above, but encompasses any and all embodiments within the scope of the generic language of the following claims enabled by the embodiments described herein, or otherwise shown in the drawings or described above in terms sufficient to enable one of ordinary skill in the art to make and use the claimed subject matter.
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