Patent Application
20250192959
This application relates generally to wireless communication systems, including codebook configuration.
Wireless mobile communication technology uses various standards and protocols to transmit data between a base station and a wireless communication device. Wireless communication system standards and protocols can include, for example, 3rd Generation Partnership Project (3GPP) long term evolution (LTE) (e.g., 4G), 3GPP new radio (NR) (e.g., 5G), and IEEE 802.11 standard for wireless local area networks (WLAN) (commonly known to industry groups as Wi-Fi®).
As contemplated by the 3GPP, different wireless communication systems standards and protocols can use various radio access networks (RANs) for communicating between a base station of the RAN (which may also sometimes be referred to generally as a RAN node, a network node, or simply a node) and a wireless communication device known as a user equipment (UE). 3GPP RANs can include, for example, global system for mobile communications (GSM), enhanced data rates for GSM evolution (EDGE) RAN (GERAN), Universal Terrestrial Radio Access Network (UTRAN), Evolved Universal Terrestrial Radio Access Network (E-UTRAN), and/or Next-Generation Radio Access Network (NG-RAN).
Each RAN may use one or more radio access technologies (RATs) to perform communication between the base station and the UE. For example, the GERAN implements GSM and/or EDGE RAT, the UTRAN implements universal mobile telecommunication system (UMTS) RAT or other 3GPP RAT, the E-UTRAN implements LTE RAT (sometimes simply referred to as LTE), and NG-RAN implements NR RAT (sometimes referred to herein as 5G RAT, 5G NR RAT, or simply NR). In certain deployments, the E-UTRAN may also implement NR RAT. In certain deployments, NG-RAN may also implement LTE RAT.
A base station used by a RAN may correspond to that RAN. One example of an E-UTRAN base station is an Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Node B (also commonly denoted as evolved Node B, enhanced Node B, eNodeB, or eNB). One example of an NG-RAN base station is a next generation Node B (also sometimes referred to as a g Node B or gNB).
A RAN provides its communication services with external entities through its connection to a core network (CN). For example, E-UTRAN may utilize an Evolved Packet Core (EPC), while NG-RAN may utilize a 5G Core Network (5GC).
To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced.
Various embodiments are described with regard to a UE. However, reference to a UE is merely provided for illustrative purposes. The example embodiments may be utilized with any electronic component that may establish a connection to a network and is configured with the hardware, software, and/or firmware to exchange information and data with the network. Therefore, the UE as described herein is used to represent any appropriate electronic component.
Many wireless communication standards provide for the use of known signals (e.g., pilot or reference signals) for a variety of purposes, such as synchronization, measurements, equalization, control, etc. For example, in cellular wireless communications, a reference signals (RS) may be provided to deliver a reference point for downlink power. When a wireless communication device or mobile device (i.e., UE) attempts to determine downlink power (e.g., the power of the signal from a base station, such as eNB for LTE and gNB for NR), it measures the power of the reference signal and uses it to determine the downlink cell power. The reference signal also assists the receiver in demodulating the received signals. Since the reference signals include data known to both the transmitter and the receiver, the receiver may use the reference signal to determine/identify various characteristics of the communication channel. This is commonly referred to as channel estimation, which is used in many high-end wireless communications such as LTE and 5G-NR communications. Known channel properties of a communication link in wireless communications are referred to as channel state information (CSI), which provides information indicative of the combined effects of, for example, scattering, fading, and power decay with distance. The CSI makes it possible to adapt transmissions to current channel conditions, which is useful for achieving reliable communications with high data rates in multi-antenna systems.
Oftentimes multi-antenna systems use precoding for improved communications. Precoding is an extension of beamforming to support multi-stream (or multi-layer) transmissions for multi-antenna wireless communications and is used to control the differences in signal properties between the respective signals transmitted from multiple antennas by modifying the signal transmitted from each antenna according to a precoding matrix. In one sense, precoding may be considered a process of cross coupling the signals before transmission (in closed loop operation) to equalize the demodulated performance of the layers. The precoding matrix is generally selected from a codebook that defines multiple precoding matrix candidates, wherein a precoding matrix candidate is typically selected according to a desired performance level based on any of a number of different factors such as current system configuration, communication environment, and/or feedback information from the receiver (e.g., UE) receiving the transmitted signal(s).
The feedback information is used in selecting a precoding matrix candidate by defining the same codebook at both the transmitter and the receiver, and using the feedback information from the receiver as an indication of a preferred precoding matrix. In such cases the feedback information includes what is referred to as a precoding matrix index (PMI), which can be based on properties of the signals received at the receiver. For example, the receiver may determine that a received signal has relatively low signal-to-noise ratio (SNR), and may accordingly transmit a PMI that would replace a current precoding matrix with a new precoding matrix to increase the signal-to-noise ratio (SNR).
In 3GPP NR systems, two types of codebook, Type I codebook and Type II codebook, have been standardized for CSI feedback in support of advanced MIMO operations. The two types of codebook are constructed from a two-dimensional (2D) discrete Fourier transform (DFT) based grid of beams, enabling CSI feedback of beam selection and phase shift keying (PSK) based co-phase combining between two polarizations. Type II codebook based CSI feedback also reports the wideband and subband amplitude information of the selected beams, allowing for more accurate CSI to be obtained. This, in turn, provides improved precoded MIMO transmissions over the network.
Under certain circumstances, the set of precoding matrix candidates that can be selected from the codebook may need to be limited. For example, the network may prevent the receiver from selecting some precoding matrix candidates while allowing it to select others. This is commonly referred to as codebook subset restriction (CBSR). CBSR may include the transmission of a CBSR bitmap from a transmitter (e.g., base station) to a receiver (e.g., UE). The CBSR bitmap typically includes a bit corresponding to each precoding matrix in the codebook, with the value of each bit (e.g., “0” or “1”) indicating to the receiver whether or not the receiver is restricted from considering a corresponding precoding matrix candidate as a preferred precoding candidate to request from the base station. One disadvantage of CBSR is increased signaling overhead. For example, in some systems, the CBSR bitmap might contain a high number (e.g. 64) of bits per channel, requiring a transmitting device to transmit a relatively large amount of information to implement CBSR for all of its channels.
For multi-user multiple-in multiple-out (MIMO) systems, a base station may configure multiple UEs (e.g. two UEs) to report their precoding matrices, or precoding matrix candidates in mutually orthogonal directions. To reduce the CSI computation complexity for the UE, a base station may remove from consideration, based on uplink measurements, certain unlikely beams, thereby allowing the UE to not test the precoders formed by those beams that were removed from consideration. In other words, in order to reduce computation complexity, based on UL measurements the base station can restrict the UE to narrow the search space. Thus, the UE does not have to consider the entire codebook.
For 3GPP Release-15 (Rel-15) Type II port selection codebook, a beam-formed channel state information reference signal (CSI-RS) exploits downlink (DL) and uplink (UL) channel reciprocity. For example, the base station estimates the UL channel and, based on channel reciprocity, acquires the channel state information regarding the DL channel. Then, based on the DL channel information, the base station precodes different ports in CSI-RS differently for the UE to perform further CSI reporting for CSI refinement. The UE measures CSI-RS and provides feedback to the base station. For a total number X of CSI-RS ports, X/2 ports are horizontally polarized (H-pol) and X/2 ports are vertically polarized (V-pol). L CSI-RS ports are selected out of X/2 CSI-RS ports. The first CSI-RS port may be selected every d ports (e.g., d is either 1 or 2 or 3 or 4). Then, consecutive L (e.g., 1, 2, 4) ports are selected with wrap around.
3GPP Rel-16 Type II port selection codebook enhancement uses the same port selection design as 3GPP Rel-15. When subband PMI is configured, a frequency domain DFT matrix can be used to compress the linear combination coefficients.
For Type II port selection codebook, it may be assumed that the base station will precode the CSI-RS based on channel reciprocity (i.e., DL channel estimated based on UL channel). For frequency division duplexing (FDD), exact channel reciprocity may not exist, especially when the duplexing distance is large. However, even for FDD, partial reciprocity may still exist when, for example, the angle of arrival or departure is similar between DL and UL carriers and/or the channel delay profile is similar between DL and UL carriers.
In certain systems, for port selection codebook enhancements utilizing DL/UL reciprocity of angle and/or delay, support is provided for codebook structure W=W1*W2*Wf where the port selection matrix W1 is a free selection matrix, with the identity matrix as a special configuration. The frequency basis selection matrix Wf is a DFT based compression matrix in which N3=NCQIsubband*R and Mv>=1, where R is a size of the channel quality indicator (CQI) subband divided by the size of the PMI subband, and Mv is the number of selected frequency basis. N3 is the number of PMI subbands for frequency basis selection. At least one value of Mv>1 may be supported. In certain such systems, value(s) of Mv may be decided (e.g., Mv=2). In other embodiments, support of Mv>1 is a UE optional feature, taking into account UE complexity related to codebook parameters. However, candidate value(s) of R, mechanisms for configuring/indicating to the UE and/or mechanisms for selecting/reporting by UE for Wf have yet to be determined. In addition, or in other systems, Wf can be turned off by the base station. When turned off, Wf may be an all-one vector.
In Rel-15, Type II and Type II port selection codebook is specified based on W1*W2. In Rel-16, enhanced Type II and Type II port selection codebook is specified based on W1*W2*Wf.
In Rel-17, further enhanced Type II port selection codebook is specified. For example, CSI feedback in Rel-17 is further enhanced for non-coherent joint transmission (NCJT) for multiple transmission and reception point (TRP) operation (referred to as multi-TRP or mTRP). In certain wireless networks, NCJTs may be used to provide multiple-input multiple-output (MIMO), multiple-user (MU) MIMO, and/or coordinated multi-point (CoMP) communications. The NCJTs may be from multi-TRP, multiple panels (multi-panels) of a TRP, or a combination thereof. Coherent joint transmission (CJT) uses synchronization among TRPs. However, for distributed TRPs, the precoders may not be jointly designed and such that the TRPs are not synchronized. Instead, each TRP derives the precoder independently without knowledge of the precoders used by the other TRPs. Thus, the joint transmission is non-coherent. In Rel-17, CSI feedback for NCJT for multi-TRPs is based on Type I MIMO codebook, which only supports single downlink control information (DCI) multi-TRP NCJT scheme 1a (i.e., spatial domain multiplexing)).
In certain communication systems (e.g., Rel-18 NR), it may be desirable to provide CSI enhancement to support CJT for multi-TRP. CJT assumes that multiple TRPs can jointly precode the transmission in a coherent way. Certain such systems may, for example, target frequency range 1 (FR1) and up to four TRPs, assuming an ideal backhaul and synchronization as well as the same number of antenna ports across TRPs, as follows: Rel-16/17 Type II codebook refinement for CJT mTRP targeting FDD and its associated CSI reporting, taking into account throughput-overhead tradeoff. However, embodiments disclosed herein are not so limited (fewer than four or more than four TRPs may be used).
For example,
To reduce signaling overhead, embodiments herein provide codebook designs to support multi-TRP CJT CSI feedback. Certain embodiments provide a codebook structure. In addition, or in other embodiments, designs are provided for the spatial basis selection matrix W1. In addition, or in other embodiments, designs are provided for the frequency basis selection matrix Wf. In addition, or in other embodiments, designs are provided for the combination coefficient matrix W2.
In certain embodiments, for multi-TRP CJT CSI reporting, the codebook structure is given by
or W=Σt=1T ct·Wt, in which t is a TRP index corresponding to a particular TRP, T is a total number of TRPs, W1, . . . , Wt are Type II CSI codebooks reported for TRPs corresponding to index t (i.e., Wt=W1t·W2t·Wft), and c1, . . . , ct are linear combination coefficients applied to each codebook for different TRPs.
In one embodiment, to reduce overhead for multi-TRP CJT CSI reporting, the UE reports the same rank for each TRP. That is to say, Wt has the same number of layers for t=1, 2, . . . , T.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure W=Σt=1T ct·Wt, the UE selects and reports the combination coefficient ct to reduce overhead. For example, in one such embodiment, the UE reports only a single combination coefficient ct per TRP (i.e., combination coefficient ct may be a scalar). Alternatively, in another embodiment, the UE reports an independent combination coefficient ct per layer per TRP, wherein combination coefficient ct is a matrix of ct=diag{c0t, c1t, . . . , cRI-1t}, which is a diagonal matrix with the diagonal entries taking the value from {c0t, c1t, . . . , cRI-1t} where crt, r=0, 1, . . . , RI−1 is the combination coefficient applied to layer r for TRP t, and RI (rank indicator) is the rank (i.e., number of layers).
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the combination coefficient ct, the UE does not report ct for the first TRP (i.e., it is assumed that c1=1 for the first TRP and the UE only reports the combination coefficient ct for the other TRPs). Thus, the overhead for reporting may be reduced.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the combination coefficient ct, the UE may be configured to report wideband and/or subband ct. For example, when the ct is only wideband, the UE reports only a single combination coefficient ct over the whole CSI measurement band per TRP. On the other hand, when the ct may be subband (i.e., the whole CSI measurement band is divided into multiple subbands), the UE reports a different combination coefficient ct for different subbands per TRP.
For multi-TRP CJT CSI reporting, when the codebook follows structure W=Σt=1T ct·Wt, for the combination coefficient ct, according to certain embodiments, ct comprises only the quantized phase information (i.e., |ct|=1). In other embodiments, ct comprises both the quantized phase information and the quantized amplitude information.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, there may be different options for the UE to report the phase of the combination coefficient ct. In one embodiment, the UE is configured to report Z based on the DFT basis with potential oversampling factor O3. Thus, to reduce overhead, the UE reports the DFT basis index. For example, if the reported index is k, then
In another embodiment, the UE is configured to report ct based on a quantized phase ramp (i.e., ϕ). For example, ct=e−j·k·ϕ. Skilled persons will recognize that “j” represents an imaginary number. In another embodiment, the UE is configured to report ct independently for each TRP (except the first TRP).
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, there may be different options for the UE to report the amplitude of the combination coefficient ct. In one embodiment, the UE quantizes and reports the amplitude of ct independently for each TRP (except the first TRP). In another embodiment, the UE reports a reference quantized amplitude with more bits (e.g., for one TRP). For the rest of the TRPs, the UE reports a quantized differential amplitude with a smaller number of bits with respect to the reference quantized amplitude.
Certain embodiments provide designs for the spatial basis selection matrix W1 to compress or reduce overhead, which may be combined with any of the other embodiments described herein for the codebook structure of the PMI matrix W, the frequency basis selection matrix Wf, and/or the combination coefficient matrix W2.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the spatial basis selection matrix W1 reporting in each Wt for different TRPs, the UE is configured to report an oversampling selection (i.e., O1, O2). For example, in one embodiment, the UE independently reports the oversampling selection, and the oversampling selection may be the same or different for different TRPs. In another embodiment, the UE reports only one oversampling selection, which is the same for different TRPs.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the spatial basis selection matrix W1 reporting in each Wt for different TRPs, after oversampling selection, the UE is configured to report the DFT basis selection within the selected oversampling. In one such embodiment, the UE independently reports the DFT basis selection, and the DFT basis selection may be the same or different for different TRPs. In another embodiment, the UE reports only one DFT basis selection, which is the same for different TRPs.
Certain embodiments provide designs for the frequency basis selection matrix Wf to compress or reduce overhead, which may be combined with any of the other embodiments described herein for the codebook structure of the PMI matrix W, the spatial basis selection matrix W1, and/or the combination coefficient matrix W2. In certain embodiments for frequency basis selection, the UE selects M frequency basis from a window of N consecutive frequency basis.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the frequency basis selection matrix Wf reporting in each Wt for different TRPs, when the number of PMI subbands is greater than a predetermined value (e.g. 19), the UE is configured to report the window's initial location. In one such embodiment, the UE independently reports the window's initial location, and the window's initial location may be the same or different for different TRPs. In another embodiment, the UE reports only one window's initial location, which is the same for different TRPs.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the frequency basis selection matrix Wf reporting in each Wt for different TRPs, the UE is configured to report, for each TRP, the direct current (DC) frequency basis (i.e., with frequency ramping of zero). To report the rest of the selected M−1 frequency basis, according to one embodiment, the UE independently reports the selection of the M−1 frequency basis, and the selection of the M−1 frequency basis may be the same or different for different TRPs. To report the rest of the selected M−1 frequency basis, according to another embodiment, the UE reports only one selection of M−1 frequency basis, which is the same for the different TRPs.
Certain embodiments provide designs for the combination coefficient matrix W2 to compress or reduce overhead, which may be combined with any of the other embodiments described herein for the codebook structure of the PMI matrix W, the spatial basis selection matrix W1, and/or the frequency basis selection matrix Wf.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, for the combination coefficient matrix W2 reporting in each Wt for different TRPs, the UE is configured to report a maximum number of non-zero coefficients in W2. In one such embodiment, the maximum number of non-zero coefficients that can be reported in W2 is independent for each TRP (i.e., each W2t has its own maximum number of non-zero coefficients). In another embodiment, a joint maximum total number of non-zero coefficients is configured for all the W2 for different TRPs (i.e., the total number of non-zero coefficients in all W2t is limited).
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, the UE is configured to report the non-zero coefficient location in each Wt for different TRPs. In one embodiment, the UE reports an independent non-zero coefficient location in each Wt for different TRPs. In another embodiment, the UE reports only one non-zero coefficient location, which is the same for different TRPs.
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, the UE is configured to report a strongest coefficient indicator (SCI) in each Wt for different TRPs. It may be assumed that the DC frequency basis comprises the strongest coefficient. Thus, only the layer index is reported for SCI. In one embodiment, the UE reports an independent layer index for SCI in each Wt for different TRPs. In another embodiment, the UE reports only one layer index for SCI, which is the same for the different TRPs. In another embodiment, the UE reports only one layer index for SCI for one TRP (i.e., the SCI includes both the layer index and a TRP index).
In certain embodiments for multi-TRP CJT CSI reporting, when the codebook follows structure
or W=Σt=1T ct·Wt, the UE is configured to report an amplitude coefficient in each Wt for different TRPs. In one embodiment, for each TRP, the UE independently reports the amplitude coefficient in a differential way with reference to a strongest coefficient in each TRP. In another embodiment, for each TRP, the UE reports the amplitude coefficient in a differential way with reference to the same strongest coefficient (i.e., the strongest coefficient is common for all the TRPs).
for linear combination coefficients c1, . . . , ct, codebooks W1, . . . , Wt, a TRP index t, and a total number T of the plurality of TRPs, wherein Wt=W1t·W2t·Wft for a spatial basis selection matrix W1t, a combination coefficient matrix W2t, and a frequency basis selection matrix Wft. In block 306, the method 300 includes reporting, from the UE to one or more of the plurality of TRPs, the multi-TRP CJT CSI report information.
Embodiments contemplated herein include an apparatus comprising means to perform one or more elements of the method 300. This apparatus may be, for example, an apparatus of a UE (such as a wireless device 1302 that is a UE, as described herein).
Embodiments contemplated herein include one or more non-transitory computer-readable media comprising instructions to cause an electronic device, upon execution of the instructions by one or more processors of the electronic device, to perform one or more elements of the method 300. This non-transitory computer-readable media may be, for example, a memory of a UE (such as a memory 1306 of a wireless device 1302 that is a UE, as described herein).
Embodiments contemplated herein include an apparatus comprising logic, modules, or circuitry to perform one or more elements of the method 300. This apparatus may be, for example, an apparatus of a UE (such as a wireless device 1302 that is a UE, as described herein).
Embodiments contemplated herein include an apparatus comprising: one or more processors and one or more computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform one or more elements of the method 300. This apparatus may be, for example, an apparatus of a UE (such as a wireless device 1302 that is a UE, as described herein).
Embodiments contemplated herein include a signal as described in or related to one or more elements of the method 300.
Embodiments contemplated herein include a computer program or computer program product comprising instructions, wherein execution of the program by a processor is to cause the processor to carry out one or more elements of the method 300. The processor may be a processor of a UE (such as a processor(s) 1304 of a wireless device 1302 that is a UE, as described herein). These instructions may be, for example, located in the processor and/or on a memory of the UE (such as a memory 1306 of a wireless device 1302 that is a UE, as described herein).
for linear combination coefficients c1, . . . , ct,
codebooks W1, . . . , Wt, a TRP index t, and a total number T of the plurality of TRPs, wherein Wt=W1t·W2t·Wft for a spatial basis selection matrix W1t, a combination coefficient matrix W2t, and a frequency basis selection matrix Wft. In block 406, the method 400 includes receiving, from the UE, the multi-TRP CJT CSI report information. In block 408, the method 400 includes sending, to the UE from at least one of the plurality of TRPs, a physical downlink shared channel (PDSCH) and its demodulation reference signal (DMRS) transmission based on the multi-TRP CJT CSI report information.
Embodiments contemplated herein include an apparatus comprising means to perform one or more elements of the method 400. This apparatus may be, for example, an apparatus of a base station (such as a network device 1318 that is a base station, as described herein).
Embodiments contemplated herein include one or more non-transitory computer-readable media comprising instructions to cause an electronic device, upon execution of the instructions by one or more processors of the electronic device, to perform one or more elements of the method 400. This non-transitory computer-readable media may be, for example, a memory of a base station (such as a memory 1322 of a network device 1318 that is a base station, as described herein).
Embodiments contemplated herein include an apparatus comprising logic, modules, or circuitry to perform one or more elements of the method 400. This apparatus may be, for example, an apparatus of a base station (such as a network device 1318 that is a base station, as described herein).
Embodiments contemplated herein include an apparatus comprising: one or more processors and one or more computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform one or more elements of the method 400. This apparatus may be, for example, an apparatus of a base station (such as a network device 1318 that is a base station, as described herein).
Embodiments contemplated herein include a signal as described in or related to one or more elements of the method 400.
Embodiments contemplated herein include a computer program or computer program product comprising instructions, wherein execution of the program by a processing element is to cause the processing element to carry out one or more elements of the method 400. The processor may be a processor of a base station (such as a processor(s) 1320 of a network device 1318 that is a base station, as described herein). These instructions may be, for example, located in the processor and/or on a memory of the base station (such as a memory 1322 of a network device 1318 that is a base station, as described herein).
With reference to both
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information does not include the linear combination coefficient c1 for a first TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, for wideband reporting, the multi-TRP CJT CSI report information comprises a single value for the linear combination coefficient ct over a CSI measurement band per TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, for subband reporting, the multi-TRP CJT CSI report information comprises different values for the linear combination coefficient ct for different subbands per TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises a phase of the linear combination coefficient ct, wherein the linear combination coefficient ct is reported based on a discrete Fourier transform (DFT) basis with a potential oversampling factor O3, and wherein for a reported DFT basis index k and a rank indicator (RI),
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises a phase of the linear combination coefficient ct, and wherein the linear combination coefficient ct is reported based on a quantized phase ramp ϕ.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises a phase of the linear combination coefficient ct, and wherein the linear combination coefficient ct is reported independently for each TRP, except a first TRP, of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises an amplitude of the linear combination coefficient ct, wherein the amplitude is quantized and reported separately for each TRP, except a first TRP, of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises an amplitude of the linear combination coefficient ct, wherein a reference quantized amplitude is reported using a first number of bits for a first TRP of the plurality of TRPs, wherein a quantized differential amplitude with respect to the reference quantized amplitude is reported using a second number of bits for one or more second TRPs of the plurality of TRPs, and wherein the first number of bits is greater than the second number of bits.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the spatial basis selection matrix W1t, an oversampling selection that is independently reported for each TRP of the plurality of TRPs, and wherein a same value or a different value is reported for the oversampling selection for different TRPs of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the spatial basis selection matrix W1t, a single oversampling selection for the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the spatial basis selection matrix W1t, a discrete Fourier transform (DFT) basis selection that is independently reported for each TRP of the plurality of TRPs, and wherein a same value or a different value is reported for the DFT basis selection for different TRPs of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the spatial basis selection matrix W1t, a single discrete Fourier transform (DFT) basis selection for the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the UE is configured to select M frequency basis from a window of N consecutive frequency basis, and wherein the multi-TRP CJT CSI report information comprises, for reporting the frequency basis selection matrix Wft, when the number of precoding matrix index (PMI) subbands is greater than a predetermined value, an initial location of the window independently reported for each TRP of the plurality of TRPs, and wherein a same value or a different value is reported for the initial location of the window for different TRPs of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the UE is configured to select M frequency basis from a window of N consecutive frequency basis, and wherein the multi-TRP CJT CSI report information comprises, for reporting the frequency basis selection matrix Wft, when the number of precoding matrix index (PMI) subbands is greater than a predetermined value, a single initial location of the window for the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the frequency basis selection matrix Wft a direct current (DC) frequency basis for each TRP of the plurality of TRPs and a selection of remaining frequency basis, wherein the selection of the remaining frequency basis is independently reported for each TRP of the plurality of TRPs, and wherein a same value or a different value is reported for the selection of the remaining frequency basis for different TRPs of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the frequency basis selection matrix Wft, a direct current (DC) frequency basis for each TRP of the plurality of TRPs and a single selection of remaining frequency basis for the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises a maximum number of non-zero coefficients in the combination coefficient matrix W2t, wherein the maximum number of non-zero coefficients is independent for each TRP in the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises a joint maximum number of non-zero coefficients in the combination coefficient matrix W2t for all TRPs in the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, a non-zero coefficient location that is independently reported for each TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, a single non-zero coefficient location for the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, a layer index for a strongest coefficient indicator (SCI) that is independently reported for each TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, a single layer index for a strongest coefficient indicator (SCI) for the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, a single layer index and a corresponding TRP index for a strongest coefficient indicator (SCI) for one TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, an amplitude coefficient differentially reported independently with respect to a strongest coefficient for each TRP of the plurality of TRPs.
In certain embodiments of the method 300 or the method 400, the multi-TRP CJT CSI report information comprises, for reporting the combination coefficient matrix W2t, an amplitude coefficient differentially reported with respect to a strongest coefficient that is common for all TRPs of the plurality of TRPs.
As indicated in
The UE may be restricted from reporting CSI based on a subset of frequency bases per base station configuration, in addition to a spatial basis restriction per the base station configuration. In some embodiments, the maximum allowed amplitude may be separately configured for a spatial basis and for a frequency basis, yielding a separate maximum allowed amplitude based on spatial consideration and a separate maximum allowed amplitude based on frequency consideration. The maximum allowed amplitude may be layer specific, i.e., each layer may be configured with a different maximum allowed amplitude for different ranks. At least three different combinations of spatial/frequency basis consideration may be implemented. In a first implementation, a UE may be configured with restricted spatial basis dependent amplitude and unrestricted frequency basis dependent amplitude. In a second implementation, the UE may be configured with restricted frequency basis dependent amplitude and unrestricted spatial basis dependent amplitude. Finally, in a third implementation, the UE may be configured with both restricted spatial basis dependent amplitude and restricted frequency basis dependent amplitude.
In some embodiments, both the maximum allowed amplitude for spatial basis and the maximum allowed amplitude for frequency basis may be configured. This may be implemented in a variety of different embodiments which may be grouped into three different alternatives. In a first alternative, the amplitude of each coefficient may be represented by at most three components, as expressed by the equation ci,m,1=Pi,1(1)Pm,1(2)Pm,1(3)·Oi,m,1, where the three components are: a spatial basis dependent amplitude (Pi,1(1)); a frequency basis dependent amplitude (Pm,1(3)); and an amplitude dependent on both spatial basis and frequency basis (Pi,m,1(2)); where (Pi,1(1)) and (Pi,1(1)) may not exceed the configured maximum allowed value(s), respectively. In a second alternative, the amplitude of each coefficient may be represented by a single component Pi,m,1, where Pi,m,1 may not exceed the maximum allowed value configured for the corresponding spatial basis (or bases), and may also not exceed the maximum allowed value configured for the corresponding frequency basis (or bases). In a third alternative, the amplitude of each coefficient may be represented by a single component Pi,m,1, where Pi,m,1 may not exceed the product of the maximum allowed values configured for the corresponding spatial basis (or bases) and frequency basis (or bases).
In the example shown in
In some embodiments, frequency basis restriction and spatial basis restriction may not be applied simultaneously. That is, restriction may be either on a spatial basis or a frequency basis, depending on certain parameters. For example, the applicability of spatial/frequency restriction may be dependent on the spatial/frequency granularity. Considering the number (N1, N2) of transmit ports or antennas, a smaller number of antennas (e.g. N1 and N2 are both either equal to or lower than four) may suggest wider spatial beams and less PMI hypotheses, for which a spatial basis restriction may be less efficient, and therefore a frequency basis restriction may be preferred. Thus, in some embodiments, for CBSR, a frequency basis restriction may be provided by the base station to the UE but not a spatial basis restriction. On the other hand, a larger number of antennas (e.g. N1 and N2 are both either equal to or larger than 8) may suggest narrow spatial beams and more PMI hypotheses, for which each spatial beam may correspond to a single frequency basis, therefore a spatial basis restriction may be sufficient. Thus, in some embodiments, for CBSR, a spatial basis restriction may be provided by the base station to the UE but not a frequency basis restriction. Thus, frequency basis restriction may be supported for some combination of (N1, N2), and the configuration of frequency basis restriction may be at least partially based on the value of (N1, N2).
As previously mentioned, in some embodiments, the frequency basis may be beam specific. For example, frequency basis may be considered for different polarizations and for different spatial beams.
For each ith spatial basis, the corresponding combination coefficient is a linear combination of the corresponding number Mi of frequency bases. The value of Mi maybe selected by the UE and reported in CSI, or it may be configured in the UE by the base station via higher-layer (e.g., RRC) signaling. In some embodiments, referred to as explicit configuration, the base station may configure the value in the UE via dedicated radio resource control (RRC) signaling. For example, the UE may obtain the value of Mi explicitly from the base station via dedicated higher-layer (e.g. RRC) signaling. In some embodiments, referred to as implicit configuration, the value may be derived by the UE from some other RRC parameters based on specified, predefined rules.
In a first implementation, the value of Mi may be a function of the number of ports in both dimensions (vertical and horizontal). That is, the value of Mi may be a function of (N1, N2). A large number of N1 and N2 (equal to or greater than eight, for example) may result in a narrower spatial beam, and a small Mi value may therefore be sufficient.
In a second implementation, the frequency dimension may be considered. Here the UE may be required to report a large number of subbands. The value of Mi may be a function of N3. A large N3 value may result in more resolvable paths, therefore a large Mi value may be preferable. E.g., Mi=f2(N3).
In a third implementation, both spatial and frequency considerations may be taken into account. In this case the value of Mi may be a function of (N1, N2, N3), and the spatial-temporal granularity may be jointly considered. E.g., Mi=f3 (max (N1, N2), N3).
Referring again to
The frequency basis in Wf may be a subset of DFT vectors. The dimension of the frequency basis may thus equal to the number of CSI frequency units (e.g., the number of subbands as indicated in the CSI reporting band). The number of subbands may be any integer in a specified range, for example in the range of 1 to 19, according to current 3GPP specifications. For finer PMI frequency units, the dimension of the frequency basis may vary in a much wider range, e.g. from 1 to hundreds. As mentioned above, the frequency compression may be implemented through FFT. In order to facilitate the implementation, the dimension of the frequency basis (e.g., FFT size) may be carefully selected.
As shown by
The UE 1202 and UE 1204 may be configured to communicatively couple with a RAN 1206. In embodiments, the RAN 1206 may be NG-RAN, E-UTRAN, etc. The UE 1202 and UE 1204 utilize connections (or channels) (shown as connection 1208 and connection 1210, respectively) with the RAN 1206, each of which comprises a physical communications interface. The RAN 1206 can include one or more base stations, such as base station 1212 and base station 1214, that enable the connection 1208 and connection 1210.
In this example, the connection 1208 and connection 1210 are air interfaces to enable such communicative coupling, and may be consistent with RAT(s) used by the RAN 1206, such as, for example, an LTE and/or NR.
In some embodiments, the UE 1202 and UE 1204 may also directly exchange communication data via a sidelink interface 1216. The UE 1204 is shown to be configured to access an access point (shown as AP 1218) via connection 1220. By way of example, the connection 1220 can comprise a local wireless connection, such as a connection consistent with any IEEE 802.11 protocol, wherein the AP 1218 may comprise a Wi-Fi® router. In this example, the AP 1218 may be connected to another network (for example, the Internet) without going through a CN 1224.
In embodiments, the UE 1202 and UE 1204 can be configured to communicate using orthogonal frequency division multiplexing (OFDM) communication signals with each other or with the base station 1212 and/or the base station 1214 over a multicarrier communication channel in accordance with various communication techniques, such as, but not limited to, an orthogonal frequency division multiple access (OFDMA) communication technique (e.g., for downlink communications) or a single carrier frequency division multiple access (SC-FDMA) communication technique (e.g., for uplink and ProSe or sidelink communications), although the scope of the embodiments is not limited in this respect. The OFDM signals can comprise a plurality of orthogonal subcarriers.
In some embodiments, all or parts of the base station 1212 or base station 1214 may be implemented as one or more software entities running on server computers as part of a virtual network. In addition, or in other embodiments, the base station 1212 or base station 1214 may be configured to communicate with one another via interface 1222. In embodiments where the wireless communication system 1200 is an LTE system (e.g., when the CN 1224 is an EPC), the interface 1222 may be an X2 interface. The X2 interface may be defined between two or more base stations (e.g., two or more eNBs and the like) that connect to an EPC, and/or between two eNBs connecting to the EPC. In embodiments where the wireless communication system 1200 is an NR system (e.g., when CN 1224 is a 5GC), the interface 1222 may be an Xn interface. The Xn interface is defined between two or more base stations (e.g., two or more gNBs and the like) that connect to 5GC, between a base station 1212 (e.g., a gNB) connecting to 5GC and an eNB, and/or between two eNBs connecting to 5GC (e.g., CN 1224).
The RAN 1206 is shown to be communicatively coupled to the CN 1224. The CN 1224 may comprise one or more network elements 1226, which are configured to offer various data and telecommunications services to customers/subscribers (e.g., users of UE 1202 and UE 1204) who are connected to the CN 1224 via the RAN 1206. The components of the CN 1224 may be implemented in one physical device or separate physical devices including components to read and execute instructions from a machine-readable or computer-readable medium (e.g., a non-transitory machine-readable storage medium).
In embodiments, the CN 1224 may be an EPC, and the RAN 1206 may be connected with the CN 1224 via an S1 interface 1228. In embodiments, the S1 interface 1228 may be split into two parts, an S1 user plane (S1-U) interface, which carries traffic data between the base station 1212 or base station 1214 and a serving gateway (S-GW), and the S1-MME interface, which is a signaling interface between the base station 1212 or base station 1214 and mobility management entities (MMEs).
In embodiments, the CN 1224 may be a 5GC, and the RAN 1206 may be connected with the CN 1224 via an NG interface 1228. In embodiments, the NG interface 1228 may be split into two parts, an NG user plane (NG-U) interface, which carries traffic data between the base station 1212 or base station 1214 and a user plane function (UPF), and the S1 control plane (NG-C) interface, which is a signaling interface between the base station 1212 or base station 1214 and access and mobility management functions (AMFs).
Generally, an application server 1230 may be an element offering applications that use internet protocol (IP) bearer resources with the CN 1224 (e.g., packet switched data services). The application server 1230 can also be configured to support one or more communication services (e.g., VoIP sessions, group communication sessions, etc.) for the UE 1202 and UE 1204 via the CN 1224. The application server 1230 may communicate with the CN 1224 through an IP communications interface 1232.
The wireless device 1302 may include one or more processor(s) 1304. The processor(s) 1304 may execute instructions such that various operations of the wireless device 1302 are performed, as described herein. The processor(s) 1304 may include one or more baseband processors implemented using, for example, a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a controller, a field programmable gate array (FPGA) device, another hardware device, a firmware device, or any combination thereof configured to perform the operations described herein.
The wireless device 1302 may include a memory 1306. The memory 1306 may be a non-transitory computer-readable storage medium that stores instructions 1308 (which may include, for example, the instructions being executed by the processor(s) 1304). The instructions 1308 may also be referred to as program code or a computer program. The memory 1306 may also store data used by, and results computed by, the processor(s) 1304.
The wireless device 1302 may include one or more transceiver(s) 1310 that may include radio frequency (RF) transmitter and/or receiver circuitry that use the antenna(s) 1312 of the wireless device 1302 to facilitate signaling (e.g., the signaling 1334) to and/or from the wireless device 1302 with other devices (e.g., the network device 1318) according to corresponding RATs.
The wireless device 1302 may include one or more antenna(s) 1312 (e.g., one, two, four, or more). For embodiments with multiple antenna(s) 1312, the wireless device 1302 may leverage the spatial diversity of such multiple antenna(s) 1312 to send and/or receive multiple different data streams on the same time and frequency resources. This behavior may be referred to as, for example, multiple input multiple output (MIMO) behavior (referring to the multiple antennas used at each of a transmitting device and a receiving device that enable this aspect). MIMO transmissions by the wireless device 1302 may be accomplished according to precoding (or digital beamforming) that is applied at the wireless device 1302 that multiplexes the data streams across the antenna(s) 1312 according to known or assumed channel characteristics such that each data stream is received with an appropriate signal strength relative to other streams and at a desired location in the spatial domain (e.g., the location of a receiver associated with that data stream). Certain embodiments may use single user MIMO (SU-MIMO) methods (where the data streams are all directed to a single receiver) and/or multi user MIMO (MU-MIMO) methods (where individual data streams may be directed to individual (different) receivers in different locations in the spatial domain).
In certain embodiments having multiple antennas, the wireless device 1302 may implement analog beamforming techniques, whereby phases of the signals sent by the antenna(s) 1312 are relatively adjusted such that the (joint) transmission of the antenna(s) 1312 can be directed (this is sometimes referred to as beam steering).
The wireless device 1302 may include one or more interface(s) 1314. The interface(s) 1314 may be used to provide input to or output from the wireless device 1302. For example, a wireless device 1302 that is a UE may include interface(s) 1314 such as microphones, speakers, a touchscreen, buttons, and the like in order to allow for input and/or output to the UE by a user of the UE. Other interfaces of such a UE may be made up of made up of transmitters, receivers, and other circuitry (e.g., other than the transceiver(s) 1310/antenna(s) 1312 already described) that allow for communication between the UE and other devices and may operate according to known protocols (e.g., Wi-Fi®, Bluetooth®, and the like).
The wireless device 1302 may include a codebook module 1316. The codebook module 1316 may be implemented via hardware, software, or combinations thereof. For example, the codebook module 1316 may be implemented as a processor, circuit, and/or instructions 1308 stored in the memory 1306 and executed by the processor(s) 1304. In some examples, the codebook module 1316 may be integrated within the processor(s) 1304 and/or the transceiver(s) 1310. For example, the codebook module 1316 may be implemented by a combination of software components (e.g., executed by a DSP or a general processor) and hardware components (e.g., logic gates and circuitry) within the processor(s) 1304 or the transceiver(s) 1310.
The codebook module 1316 may be used for various aspects of the present disclosure. For example, the codebook module 1316 may be configured to perform the method 300 shown in
The network device 1318 may include one or more processor(s) 1320. The processor(s) 1320 may execute instructions such that various operations of the network device 1318 are performed, as described herein. The processor(s) 1304 may include one or more baseband processors implemented using, for example, a CPU, a DSP, an ASIC, a controller, an FPGA device, another hardware device, a firmware device, or any combination thereof configured to perform the operations described herein.
The network device 1318 may include a memory 1322. The memory 1322 may be a non-transitory computer-readable storage medium that stores instructions 1324 (which may include, for example, the instructions being executed by the processor(s) 1320). The instructions 1324 may also be referred to as program code or a computer program. The memory 1322 may also store data used by, and results computed by, the processor(s) 1320.
The network device 1318 may include one or more transceiver(s) 1326 that may include RF transmitter and/or receiver circuitry that use the antenna(s) 1328 of the network device 1318 to facilitate signaling (e.g., the signaling 1334) to and/or from the network device 1318 with other devices (e.g., the wireless device 1302) according to corresponding RATs.
The network device 1318 may include one or more antenna(s) 1328 (e.g., one, two, four, or more). In embodiments having multiple antenna(s) 1328, the network device 1318 may perform MIMO, digital beamforming, analog beamforming, beam steering, etc., as has been described.
The network device 1318 may include one or more interface(s) 1330. The interface(s) 1330 may be used to provide input to or output from the network device 1318. For example, a network device 1318 that is a base station may include interface(s) 1330 made up of transmitters, receivers, and other circuitry (e.g., other than the transceiver(s) 1326/antenna(s) 1328 already described) that enables the base station to communicate with other equipment in a core network, and/or that enables the base station to communicate with external networks, computers, databases, and the like for purposes of operations, administration, and maintenance of the base station or other equipment operably connected thereto.
The network device 1318 may include a codebook module 1332. The codebook module 1332 may be implemented via hardware, software, or combinations thereof. For example, the codebook module 1332 may be implemented as a processor, circuit, and/or instructions 1324 stored in the memory 1322 and executed by the processor(s) 1320. In some examples, the codebook module 1332 may be integrated within the processor(s) 1320 and/or the transceiver(s) 1326. For example, the codebook module 1332 may be implemented by a combination of software components (e.g., executed by a DSP or a general processor) and hardware components (e.g., logic gates and circuitry) within the processor(s) 1320 or the transceiver(s) 1326.
The codebook module 1332 may be used for various aspects of the present disclosure. For example, the codebook module 1332 may be configured to perform the method 400 shown in
For one or more embodiments, at least one of the components set forth in one or more of the preceding figures may be configured to perform one or more operations, techniques, processes, and/or methods as set forth herein. For example, a baseband processor as described herein in connection with one or more of the preceding figures may be configured to operate in accordance with one or more of the examples set forth herein. For another example, circuitry associated with a UE, base station, network element, etc. as described above in connection with one or more of the preceding figures may be configured to operate in accordance with one or more of the examples set forth herein.
Any of the above described embodiments may be combined with any other embodiment (or combination of embodiments), unless explicitly stated otherwise. The foregoing description of one or more implementations provides illustration and description, but is not intended to be exhaustive or to limit the scope of embodiments to the precise form disclosed. Modifications and variations are possible in light of the above teachings or may be acquired from practice of various embodiments.
Embodiments and implementations of the systems and methods described herein may include various operations, which may be embodied in machine-executable instructions to be executed by a computer system. A computer system may include one or more general-purpose or special-purpose computers (or other electronic devices). The computer system may include hardware components that include specific logic for performing the operations or may include a combination of hardware, software, and/or firmware.
It should be recognized that the systems described herein include descriptions of specific embodiments. These embodiments can be combined into single systems, partially combined into other systems, split into multiple systems or divided or combined in other ways. In addition, it is contemplated that parameters, attributes, aspects, etc. of one embodiment can be used in another embodiment. The parameters, attributes, aspects, etc. are merely described in one or more embodiments for clarity, and it is recognized that the parameters, attributes, aspects, etc. can be combined with or substituted for parameters, attributes, aspects, etc. of another embodiment unless specifically disclaimed herein.
It is well understood that the use of personally identifiable information should follow privacy policies and practices that are generally recognized as meeting or exceeding industry or governmental requirements for maintaining the privacy of users. In particular, personally identifiable information data should be managed and handled so as to minimize risks of unintentional or unauthorized access or use, and the nature of authorized use should be clearly indicated to users.
Although the foregoing has been described in some detail for purposes of clarity, it will be apparent that certain changes and modifications may be made without departing from the principles thereof. It should be noted that there are many alternative ways of implementing both the processes and apparatuses described herein. Accordingly, the present embodiments are to be considered illustrative and not restrictive, and the description is not to be limited to the details given herein, but may be modified within the scope and equivalents of the appended claims.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US2023/060088 | 1/4/2023 | WO |
| Number | Date | Country | |
|---|---|---|---|
| 63269445 | Mar 2022 | US |
