Methods and systems for predictive channel state information in wireless communication systems

Abstract

Methods and systems for predictive channel state information (CSI) feedback in sixth generation (6G) wireless communication systems are discussed herein. For example, a UE may process configuration information from the base station for predictive CSI reporting using a codebook, the configuration information indicating measurement resources for one or more downlink (DL) occasions. Then, the UE may measure a channel response and interference using the measurement resources and generate predictive CSI feedback using the codebook with combinatorial indexing to indicate a selection of a plurality of coefficients for one or more Doppler domain (DD) bases. Subsequently, the UE may report the predictive CSI feedback to the base station. In some instances, the combinatorial indexing is performed per the one or more DD bases or per a group of the one or more DD bases.

Description

METHODS AND SYSTEMS FOR PREDICTIVE CHANNEL STATE INFORMATION IN WIRELESS COMMUNICATION SYSTEMS TECHNICAL FIELD

[0001] This application relates generally to wireless communication systems, including systems with predictive channel state information (CSI) feedback. BACKGROUND

[0002] 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 Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard for Wireless Local Area Networks (WLAN) (commonly known to industry groups as Wi-Fi®).

[0003] 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).

[0004] 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.

[0005] 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, 1 P66131WO14937-9683-0052\1or 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).

[0006] 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). BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

[0007] 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.

[0008] FIG.1A illustrates an example of a frequency / Doppler offset polarization page.

[0009] FIG.1B illustrates another example of frequency / Doppler offset polarization pages.

[0010] FIG.2 illustrates an example antenna structure for a gNB.

[0011] FIG.3 illustrates an example of a polarization common bitmap design being 8x6 bits in size.

[0012] FIG.4 illustrates an example polarization common bitmap design being 4x6 bits in size for 6G wireless communication systems.

[0013] FIG.5 illustrates an example of various coefficients belonging to different coefficients groups with different polarizations.

[0014] FIG.6A illustrates an example of collocated polarizations and DD bases used as an input for a vector quantizer, according to embodiments herein.

[0015] FIG.6B illustrates an example vector quantizer, according to embodiments herein.

[0016] FIG.7 illustrates an indexed table corresponding to a general use of a combinatorial indexing mechanism.

[0017] FIG.8 illustrates a method for a UE to report predictive CSI to a base station, according to embodiments herein.

[0018] FIG.9 illustrates a method for a base station to configure a UE to report predictive CSI, according to embodiments herein.

[0019] FIG.10 illustrates an example architecture of a wireless communication system, according to embodiments disclosed herein.

[0020] FIG.11 illustrates a system for performing signaling between a wireless device and a network device, according to embodiments disclosed herein. 2 P66131WO14937-9683-0052\1DETAILED DESCRIPTION

[0021] 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.

[0022] In some wireless communication systems, in eType II channel state information (CSI) feedback design, spatial beam selection and frequency domain (FD) component selection (e.g., delay tap selection) and nonzero coefficient selection may be supported. Additionally, in eType II predictive CSI feedback design, spatial beam selection and FD component selection (delay tap selection) and Doppler component selection and nonzero coefficient selection may be supported. In some cases, it may be advantageous to select non- zero coefficients in pairs from both polarizations (i.e., from the frequency domain and from the Doppler domain).

[0023] In some wireless communication mechanisms, predictive CSI is supported using, in some instances, artificial intelligence (AI) and machine learning (ML) models. It should be understood that predictive CSI encompasses the use of and design of various codebook types.

[0024] By way of example, for codebook design, precoders for a layer are given by size-Px N3 matrix ^^^^ = ^^^^1^�^^^ ^^^^2^^^^^^^^ (also notated for simplicity herein as W = W1*W2*Wf or W =W1W2Wf), where W is the PMI matrix, W1corresponds to spatial beam selection, ^�^^^2corresponds to bitmap design and quantizer design, andcorresponds to frequency domain (FD) component selection. P = 2N1N2= number of transmit antenna ports. N3= number of FD dimensions. Precoder normalization corresponds to the precoding matrix for a given rank and unit of N3 being normalized is omitted to avoid cumbersome notations.

[0025] For SD compression, L spatial domain basis vectors (mapped to the two polarizations, so 2L in total) are selected. Compression in the spatial domain uses are N1N2x 1 orthogonal discrete Fouriertransform (DFT) vectors (e.g., as in Rel-15 Type II).

[0026] For FD compression, compression is via ^^^^^^^^ =�^^^^^^^^0^^^^^^^^1 …are M size-N3 x 1 orthogonal DFT vectors. The number of FD-components M may be configurable. 3 P66131WO14937-9683-0052\1

[0027] For polarization-common spatial beam selection, L and M may be configured by the gNB.

[0028] FIG.1A illustrates an example of a frequency / Doppler offset polarization page. In this example, coefficients are denoted Cx,y,z, where x indicates a spatial beam index 104, y indicates a delay tap index 106, and z indicates a spatial layer.

[0029] In some codebook designs (e.g., release 16 (Rel-16) design), the use of two “sheets” or “pages” (referred to herein as “page”) are supported with each page including various polarizations 102 with different spatial beam index 104 (ranging from, for example, 0 to 7) and delay tap index 106 (ranging from, for example, 0 to 5). Each page corresponds to a spatial layer (i.e., Spatial Layer 0110 and Spatial Layer 1108). Additionally, each polarization 102 may provide a different power delay profile 112 depending on the spatial beam index 104 and delay tap index 106 and how the codebook (including the page) is implemented.

[0030] FIG.1B illustrates another example of frequency / Doppler offset polarization pages. In some codebook designs, (e.g., according to release 18 (Rel-18)) the use of multiple pages may be supported for a single spatial layer where each page corresponds to one frequency offset. For example, a first page may correspond to spatial layer 1, frequency offset 2⋅Δ f 114, a second page may correspond to spatial layer 1, frequency offset 1⋅Δ f 116, a third page may correspond to spatial layer 1, frequency offset 0⋅Δ f 118, and a fourth page may correspond to spatial layer 1, frequency offset -1⋅Δ f 120. Note that each page has a different Doppler frequency according to different occasions.

[0031] In examples where multiple pages may be used for a single spatial layer where each page corresponds to one frequency offset, due to the presence of multiple pages (e.g., Doppler frequency), page selection may be needed. Additionally, the quantization of non- zero coefficients (e.g., in Rel-18 design) may be similar to that of Rel-16 design, however the grouping of non-zero coefficients may be performed according to polarization(s). For example, group 0 may include non-zero coefficients on the selected Q pages on polarization 0 and group 1 may include non-zero coefficients on the selected Q pages on polarization 1, where Q is an integer.

[0032] For codebook refinement (e.g., in Rel-18 Type-II codebook(s)) for high / medium velocities on the ^�^^^2quantization scheme when N4>1, various components of the per- coefficient quantization scheme may be reused. The reused components may include, for example, alphabets for amplitude and phase and quantization of phase and quantization of differential amplitude relative to a reference and reference amplitude (with strongest 4 P66131WO14937-9683-0052\1coefficient indicator (SCI) determining the location of one reference amplitude), where the reference is defined for each layer and each group of coefficients.

[0033] Additionally, for codebook refinement (e.g., in Rel-18 Type-II codebook(s)) forhigh / medium velocities on the ^�^^^2 scheme when N4>1, for each layer, one (common) SCIapplies across all Q selected DD basis vectors and one group comprises one polarization across all Q selected DD basis vectors (Cgroup,phase= 1, Cgroup,amp= 2). For the amplitude group other than the group associated with the SCI, the reference amplitude is reported.

[0034] Further, for codebook refinement (e.g., in Rel-18 Type-II codebook(s)) for high / medium velocities, various codebook structures where N4is gNB-configured via higher-layer signaling may be supported. For example, for N4=1, a Doppler domain basismay be the identity (no Doppler-domain compression) reusing W1 , ^�^^^2, and Wf, e.g., ^^^^ =^^^^1^�^^^2^^^^^^^^^^^^. For N4>1, Doppler-domain orthogonal DFT basis may be commonly selected for SD / FD bases reusing W1 and Wf, e.g., W1^�^^^2(Wf^Wd)H(i.e., a Kronecker product). It should be understood that Q (denoting the number of selected DD basis vectors) >1 may be allowed. Note that detailed designs for SD / FD bases including the associated uplink control information (UCI) parameters may follow wireless communication mechanisms.

[0035] In some wireless communication systems, a subset of pages with each page including polarization coefficients may be selected and the FD component selection may be common for relevant coefficients, which is reflected in, for example, the Kronecker product of Wf and Wd.

[0036] FIG.2 illustrates an example antenna structure for a gNB. As shown, regular antennas are placed on a base station antenna array, including antennas with polarization 0 204 and antennas with polarization 1202 (e.g., +45° and -45°).

[0037] In some wireless communication mechanisms, various details may be assumed for preprocessing for CSI feedback. For example, a CSI-RS resource is configured for channel measurement, and the channel measurement may be for multiple sub-bands (e.g., 8 physical resource blocks (PRBs) or 16 PRBs). Interference and noise measurements may be measured and performed through a non-zero power channel state information reference signal (NZP CSI-RS) resource or a zero power interference management resource (ZP-IMR) as performed in 5G NR. Further, for each subband, eigenvalue decomposition (EVD) may be performed on the subband covariance matrix, and dominant eigenvectors are extracted as the per spatial layer precoders. For example, the resulted precoding matrix at spatial layer 1 is 32 x 13 (32 ports by 9 sub-bands). Then, the dominant antenna element or antenna port is selected for phase normalization (e.g., port 12) on the precoding matrix. IDFT is performed 5 P66131WO14937-9683-0052\1on the (frequency-domain) precoding matrix along the subband dimension, to obtain the time-domain precoding matrix. Then, the precoding matrices at multiple time occasions (N4) may be collected to build a tensor (Ntx×Nsubbands×N4) and IDFT is performed along the third dimension. The strongest elements in the precoding tensor for polarization 0 and polarization 1 are identified and used to normalize the precoding tensor’s coefficients.

[0038] Embodiments herein discuss enhancing the eType II CSI feedback design to support sixth generation (6G) wireless communication systems. Additionally, embodiments herein introduce codebook design for 6G wireless communication systems.

[0039] FIG.3 illustrates an example of a polarization independent bitmap design being 8x6 bits in size. In some wireless communication systems, for non-zero coefficient selection, a polarization independent bitmap may be used at each of the Q pages of selected Doppler domain (DD) bases. For example, in certain designs (i.e., in Rel-16 design and / or in Rel-18 design) the polarization independent bitmap may be 8x6 bits in size (e.g., the first bitmap 302 and the second bitmap 304 being 8x6 in size) and non-zero coefficients may be selected using the bitmaps.

[0040] FIG.4 illustrates an example polarization common bitmap design being 4x6 bits in size for 6G wireless communication systems. In 6G bitmap design, polarization common bitmaps may be halved in size to be 4x6 bits in size (e.g., the first bitmap 402 and the second bitmap 404 being 4x6 in size). In some cases, a Doppler frequency common design may be supported if a single bitmap (e.g., 4x6 bits) is used (or justified).

[0041] However, the use of bitmaps to select non-zero coefficients may use a large amount of overhead as there may be a small number of non-zero coefficients in the bitmaps, then the overhead for the bitmaps is still taken or consumed in the CSI feedback.

[0042] In some embodiments, instead of using a bitmap (e.g., as marked by “1”s 406 in FIG.4 for the non-zero coefficients) to select non-zero coefficients (as done in wireless communication mechanisms), combinatorial indexing may be used to select the non-zero coefficients. The use of combinatorial indexing may lower signaling overhead. In some implementations, combinatorial indexing may be applied for each of the Q number of pages of DD bases. In some other implementations, combinatorial indexing may be applied to a group of DD bases. A group of DD bases can be selected by a UE, configured by the network or determined by following a procedure specified in the specification. A multiple staged approach in such implementations, for the selected Q number of pages of DD bases, a single combinatorial index is generated. In another implementation, when Q=4 (i.e., four 6 P66131WO14937-9683-0052\1pages), a subset of the Q number of pages of DD bases may share a common combinatorial indexing.

[0043] It should be understood that combinatorial indexes of the Q number of pages of DD bases may be used for codebook design. Further, codebooks may be implemented according to various examples. In some examples, the codebook may be used to generate CSI feedback. In some other examples, the codebook may be used to generate predictive CSI feedback. In yet some other examples, the codebook may be used for precoding and beamforming operations.

[0044] In some cases, the combinatorial indexes of the Q number of pages of DD bases may be used to generate a precoding matrix indicator (PMI) used in codebook design.

[0045] FIG.5 illustrates an example of various coefficients belonging to different coefficient groups with different polarizations.

[0046] In some wireless communication systems, coefficients may be grouped together with different polarizations. For example, a first subset of coefficients 502 and a third subset of coefficients 506 may be grouped in group 0514 with a polarization of 0 and a second subset of coefficients 504 and a fourth subset of coefficients 508 may be grouped in group 1 516 with a polarization of 1. As illustrated in FIG.5, coefficient 510 is the strongest among coefficients in group 0514, and coefficient 512 is the strongest among coefficients in group 1516.

[0047] In some instances, a differential amplitude quantization and fixed 16 phases (i.e., 16 phase-shift keying (PSK)) are used for the quantizer design. However, for small amplitudes, a 16 PSK constellation quantizer design (i.e., a 16 phase quantizer design) may use unnecessary resources due to the configuring of unused and / or unneeded overhead.

[0048] In some embodiments, a lower PSK constellation value quantizer design may be supported and implemented. For example, 8 PSK constellations may be sufficient, as compared to the 16 configured phases previously used, as to mitigate unused overhead that comes with configuring unused and / or unneeded phases.

[0049] FIG.6A illustrates an example of collocated polarizations and DD bases used as an input for a vector quantizer 612, according to embodiments herein.

[0050] FIG.6B illustrates an example vector quantizer 612, according to embodiments herein. A UE sends the vector quantizer output sequence along with other CSI informationto the network. When the network receives the bit^^^^2, … , ^^^^^^^^�, the codewordsequence�^^�^^1,^^�^^2, … ,^^�^^^^^^� is generated in the decoding process for the vector quantizer.7 P66131WO14937-9683-0052\1

[0051] In some embodiments, a vector quantizer 612 may be introduced which takes N non-zero coefficients 610 as an input, and provides bits 614 as an output (e.g., b1, b2, …, b0). In some examples, collocated coefficients may be selected as inputs (e.g., X1602, X2 604, X3606, and X4608) to the vector quantizer 612. In such examples, the coefficients are collocated according to polarizations and / or DD bases. In some instances, the non-zero coefficients 610 may be normalized prior to being inputted into the vector quantizer 612, and a simultaneous selection of collocated coefficients may be supported.

[0052] In some wireless communication systems, vector quantization for non-zero coefficient quantization was previously discussed for eMIMO Type II codebook designs, however a simultaneous selection of “collocated” coefficients is not supported. With reference to the illustration provided in Figure 6A, when ^̃^^^7,0,2,1is strong, e.g., the strongest coefficient in the group, the collocated coefficient ^̃^^^3,0,2,1may be weak or even zero. Thus, with vector quantization, depending on the vector quantizer training result based on conventional approach or artificial intelligence (AI) / machine learning (ML) based approach, one or more codewords in the dictionary built with the vector quantizor may contain a zeroelement. More specifically, when the network receives the bit sequence�^^^^1, ^^^^2, … , ^^^^^^^^�, thecodeword sequence�^^�^^1,^^�^^2, … ,^^�^^^^^^� may contain ^^�^^^^^^=0, 1 ≤ ^^^^ ≤ ^^^^.

[0053] Combinatorial Indexing

[0054] Optionally / alternatively, a combinatorial indexing mechanism may be used to further reduce signaling overhead.

[0055] For illustrative purposes, an example of the use of this formula in a combinatorial indexing scheme will now be provided. FIG.7 illustrates an indexed table 702corresponding to a general use of the formula ∑^^^^ ^^^^=1under a combinatorial indexing mechanism, assuming N = 3 and M = 7, and is provided to facilitate discussion with respect to this example.

[0056] With N = 3, the combinatorial index is an index that is given to a combination (a1, a2, a3), with (a1, a2, a3) sorted in ascending order. Further, in this example, it is assumed that the UE wishes to indicate the N = 3 beams corresponding to beam indexes (1, 2, 7),meaning that the use of ∑^^^^ ^^^^+1−^^^^ ^^^^=1 ^^^^^^^^−^^^^^^^^should result in the sending of an index value 30704 within the indexed table 702, consistent with the illustration given in FIG.7. Details of how this result is reached under the formula will now be provided. 8 P66131WO14937-9683-0052\1

[0057] First, the number of combinations with (x, *, *) and x > a1 is counted. Using ^^^^^^^^+1−^^^^ with n = 1, this is given by ^^^^3+1−1 = ^^^^3^^^^−^^^^^^^^ 7−1 6 = 20. This corresponds to the number ofthe first entries 706 as indicated in FIG.7, of which there are 20.

[0058] Then, the number of remaining combinations with (1, b’, *) and b’ > a2is counted. Uwith n = 2, thi 3+1−2s is given by ^^^^ = ^^^^ = 10. This corresponds to7−2number of the second entries 708, of which there are 10.

[0059] Finally, the number of remaining combinations with (1, 2, b’’) and b’’ > a is2 3+1−3 1counted. Usingwith n = 3, this is given by ^^^^ = ^^^^ = 0. This is consistentthe indexed table 702, as there are zero entries with b’’ > 7.

[0060] Accordingly, the index value corresponding to the entry (1, 2, 7) may be determined by adding the total number of counted combinations. In this case, this addition is 20 + 10 + 0 = 30, corresponding to the ultimate use of the index value 30704.

[0061] Using analogous processes, the network, upon receiving the index value 30704 from the UE in the beam report, will understand that beam indexes (1, 2, 7) have been indicated. ^^^^+1−^^^^^^^^∑

[0062] As another example, the use of the formula ^^^^in a combinatorial^^^^=1 ^^^^−^^^^^^^^indexing mechanism as described will now be provided in a case where N = 4 and M = 16. In this example, the (a , a , a , a ) that is intended to be indicated by the UE may be (1, 3, 5,1 2 3 4^^^^ ^^^^+1−^^^^∑ 6). In such a case, the use of the formula ^^^^as described above provides that the^^^^=1 ^^^^−^^^^^^^^4 index for (1, 3, 5, 6) under the combinatorial indexing mechanism is ^^^^4−2 4−3 ^^^^ + ^^^^ = = 1365 + 268 + 55 + 10 = 1,698.16−616−5

[0063] Note the computation of the combinatorial index and decoding the combinatorial ^^^^index on the receiver side can be simplified through the use of precalculated values for ^^^^ ,^^^^^^^^for assumed values of x and y. Further, in the case ^^^^ is a huge number, e.g., including^^^^more than one hundred bits, algorithms for performing addition / subtraction with huge numbers over an eight bit or 16-bit digital signal processor (DSP) are available. In such a manner, a computational complexity for the combinatorial indexing mechanism can be made manageable.

[0064] FIG.8 illustrates a method 800 for a UE to report predictive CSI to a base station, according to embodiments herein. The illustrated method 800 includes processing 802, at the UE, configuration information from the base station for predictive CSI reporting using a codebook, the configuration information indicating measurement resources for one or more DL occasions. The method 800 further includes measuring 804 a channel response and 9 P66131WO14937-9683-0052\1interference using the measurement resources. The method 800 further includes generating 806 predictive CSI feedback using the codebook with combinatorial indexing to indicate a selection of a plurality of coefficients for one or more DD bases. The plurality of coefficients for one or more DD bases may be non-zero coefficients. In some cases or designs, the plurality of coefficients for one or more DD bases may contain one or more zero coefficients, for example to facilitate the indication of selecting strong coefficients in a group (e.g., the group with polarization 0), while the selected coefficient’s counterpart in another group (e.g., the group with polarization 1) may be zero. As group-specific selection of coefficients may be less efficient than group-common selection of coefficients, in some cases or some designs, such a practice is allowed. The method 800 further includes reporting 808 the predictive CSI feedback to the base station.

[0065] In certain embodiments of the method 800, generating the predictive CSI feedback further includes performing the combinatorial indexing per the one or more DD bases.

[0066] In certain embodiments of the method 800, generating the predictive CSI feedback further includes performing the combinatorial indexing per a group of the one or more DD bases.

[0067] In certain embodiments, the method 800 further includes quantizing the plurality of coefficients using a vector quantizer. In certain such embodiments, quantizing the plurality of coefficients further includes performing a differential amplitude quantization of the plurality of coefficients.

[0068] In certain embodiments of the method 800, the plurality of coefficients are collocated.

[0069] FIG.9 illustrates a method 900 for a base station to configure a UE to report predictive CSI, according to embodiments herein. The illustrated method 900 includes sending 902 configuration information from the base station to the UE for predictive CSI reporting, the configuration information indicating measurement resources for one or more DL occasions. The method 900 further includes receiving 904, from the UE, predictive CSI feedback using a codebook with combinatorial indexing to indicate a selection of a plurality of non-zero coefficients for one or more DD bases.

[0070] In certain embodiments of the method 900, using the codebook with the combinatorial indexing to indicate the selection of the plurality of coefficients for the one or more DD bases further includes performing the combinatorial indexing per the one or more DD bases. 10 P66131WO14937-9683-0052\1

[0071] In certain embodiments of the method 900, using the codebook with the combinatorial indexing to indicate the selection of the plurality of coefficients for the one or more DD bases further includes performing the combinatorial indexing per a group of the one or more DD bases.

[0072] In certain embodiments, the method 900 further includes quantizing the plurality of coefficients using a vector quantizer. In certain such embodiments, quantizing the plurality of coefficients comprises performing a differential amplitude quantization of the plurality of non-zero coefficients.

[0073] In certain embodiments of the method 900, the plurality of coefficients are collocated.

[0074] FIG.10 illustrates an example architecture of a wireless communication system 1000, according to embodiments disclosed herein. The following description is provided for an example wireless communication system 1000 that operates in conjunction with the LTE system standards and / or 5G or NR system standards as provided by 3GPP technical specifications.

[0075] As shown by FIG.10, the wireless communication system 1000 includes UE 1002 and UE 1004 (although any number of UEs may be used). In this example, the UE 1002 and the UE 1004 are illustrated as smartphones (e.g., handheld touchscreen mobile computing devices connectable to one or more cellular networks), but may also comprise any mobile or non-mobile computing device configured for wireless communication.

[0076] The UE 1002 and UE 1004 may be configured to communicatively couple with a RAN 1006. In embodiments, the RAN 1006 may be NG-RAN, E-UTRAN, etc. The UE 1002 and UE 1004 utilize connections (or channels) (shown as connection 1008 and connection 1010, respectively) with the RAN 1006, each of which comprises a physical communications interface. The RAN 1006 can include one or more base stations (such as base station 1012 and base station 1014) that enable the connection 1008 and connection 1010.

[0077] In this example, the connection 1008 and connection 1010 are air interfaces to enable such communicative coupling, and may be consistent with RAT(s) used by the RAN 1006, such as, for example, an LTE and / or NR.

[0078] In some embodiments, the UE 1002 and UE 1004 may also directly exchange communication data via a sidelink interface 1016. The UE 1004 is shown to be configured to access an access point (shown as AP 1018) via connection 1020. By way of example, the connection 1020 can comprise a local wireless connection, such as a connection consistent 11 P66131WO14937-9683-0052\1with any IEEE 802.11 protocol, wherein the AP 1018 may comprise a Wi-Fi®router. In this example, the AP 1018 may be connected to another network (for example, the Internet) without going through a CN 1024.

[0079] In embodiments, the UE 1002 and UE 1004 can be configured to communicate using orthogonal frequency division multiplexing (OFDM) communication signals with each other or with the base station 1012 and / or the base station 1014 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.

[0080] In some embodiments, all or parts of the base station 1012 or base station 1014 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 1012 or base station 1014 may be configured to communicate with one another via interface 1022. In embodiments where the wireless communication system 1000 is an LTE system (e.g., when the CN 1024 is an EPC), the interface 1022 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 1000 is an NR system (e.g., when CN 1024 is a 5GC), the interface 1022 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 1012 (e.g., a gNB) connecting to 5GC and an eNB, and / or between two eNBs connecting to 5GC (e.g., CN 1024).

[0081] The RAN 1006 is shown to be communicatively coupled to the CN 1024. The CN 1024 may comprise one or more network elements 1026, which are configured to offer various data and telecommunications services to customers / subscribers (e.g., users of UE 1002 and UE 1004) who are connected to the CN 1024 via the RAN 1006. The components of the CN 1024 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).

[0082] In embodiments, the CN 1024 may be an EPC, and the RAN 1006 may be connected with the CN 1024 via an S1 interface 1028. In embodiments, the S1 interface 12 P66131WO14937-9683-0052\11028 may be split into two parts, an S1 user plane (S1-U) interface, which carries traffic data between the base station 1012 or base station 1014 and a serving gateway (S-GW), and the S1-MME interface, which is a signaling interface between the base station 1012 or base station 1014 and mobility management entities (MMEs).

[0083] In embodiments, the CN 1024 may be a 5GC, and the RAN 1006 may be connected with the CN 1024 via an NG interface 1028. In embodiments, the NG interface 1028 may be split into two parts, an NG user plane (NG-U) interface, which carries traffic data between the base station 1012 or base station 1014 and a user plane function (UPF), and the S1 control plane (NG-C) interface, which is a signaling interface between the base station 1012 or base station 1014 and access and mobility management functions (AMFs).

[0084] Generally, an application server 1030 may be an element offering applications that use internet protocol (IP) bearer resources with the CN 1024 (e.g., packet switched data services). The application server 1030 can also be configured to support one or more communication services (e.g., VoIP sessions, group communication sessions, etc.) for the UE 1002 and UE 1004 via the CN 1024. The application server 1030 may communicate with the CN 1024 through an IP communications interface 1032.

[0085] FIG.11 illustrates a system 1100 for performing signaling 1134 between a wireless device 1102 and a network device 1118, according to embodiments disclosed herein. The system 1100 may be a portion of a wireless communications system as herein described. The wireless device 1102 may be, for example, a UE of a wireless communication system. The network device 1118 may be, for example, a base station (e.g., an eNB or a gNB) of a wireless communication system.

[0086] The wireless device 1102 may include one or more processor(s) 1104. The processor(s) 1104 may execute instructions such that various operations of the wireless device 1102 are performed, as described herein. The processor(s) 1104 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.

[0087] The wireless device 1102 may include a memory 1106. The memory 1106 may be a non-transitory computer-readable storage medium that stores instructions 1108 (which may include, for example, the instructions being executed by the processor(s) 1104). The 13 P66131WO14937-9683-0052\1instructions 1108 may also be referred to as program code or a computer program. The memory 1106 may also store data used by, and results computed by, the processor(s) 1104.

[0088] The wireless device 1102 may include one or more transceiver(s) 1110 that may include radio frequency (RF) transmitter circuitry and / or receiver circuitry that use the antenna(s) 1112 of the wireless device 1102 to facilitate signaling (e.g., the signaling 1134) to and / or from the wireless device 1102 with other devices (e.g., the network device 1118) according to corresponding RATs.

[0089] The wireless device 1102 may include one or more antenna(s) 1112 (e.g., one, two, four, or more). For embodiments with multiple antenna(s) 1112, the wireless device 1102 may leverage the spatial diversity of such multiple antenna(s) 1112 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 1102 may be accomplished according to precoding (or digital beamforming) that is applied at the wireless device 1102 that multiplexes the data streams across the antenna(s) 1112 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).

[0090] In certain embodiments having multiple antennas, the wireless device 1102 may implement analog beamforming techniques, whereby phases of the signals sent by the antenna(s) 1112 are relatively adjusted such that the (joint) transmission of the antenna(s) 1112 can be directed (this is sometimes referred to as beam steering).

[0091] The wireless device 1102 may include one or more interface(s) 1114. The interface(s) 1114 may be used to provide input to or output from the wireless device 1102. For example, a wireless device 1102 that is a UE may include interface(s) 1114 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 transmitters, receivers, and other circuitry (e.g., other than the transceiver(s) 1110 / antenna(s) 1112 already described) that allow for communication between the UE and 14 P66131WO14937-9683-0052\1other devices and may operate according to known protocols (e.g., Wi-Fi®, Bluetooth®, and the like).

[0092] The wireless device 1102 may include a predictive CSI feedback module 1116. The predictive CSI feedback module 1116 may be implemented via hardware, software, or combinations thereof. For example, the predictive CSI feedback module 1116 may be implemented as a processor, circuit, and / or instructions 1108 stored in the memory 1106 and executed by the processor(s) 1104. In some examples, the predictive CSI feedback module 1116 may be integrated within the processor(s) 1104 and / or the transceiver(s) 1110. For example, the predictive CSI feedback module 1116 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) 1104 or the transceiver(s) 1110.

[0093] The predictive CSI feedback module 1116 may be used for various aspects of the present disclosure, for example, aspects of FIG.1A, FIG.1B, FIG.2, FIG.3, FIG.4, FIG. 5, FIG.6A, FIG.6B, FIG. 7 and FIG.8. The predictive CSI feedback module 1116 may be configured to process, at the wireless device 1102, configuration information from the network device 1118 for predictive CSI reporting using a codebook, the configuration information indicating measurement resources for one or more DL channels. The predictive CSI feedback module 1116 may be further configured to measure a channel response and interference using the measurement resources, and generate predictive CSI feedback using the codebook with combinatorial indexing to indicate a selection of a plurality of non-zero coefficients for one or more DD bases. The predictive CSI feedback module 1116 may be further configured to report the predictive CSI feedback to the network device 1118.

[0094] The network device 1118 may include one or more processor(s) 1120. The processor(s) 1120 may execute instructions such that various operations of the network device 1118 are performed, as described herein. The processor(s) 1120 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.

[0095] The network device 1118 may include a memory 1122. The memory 1122 may be a non-transitory computer-readable storage medium that stores instructions 1124 (which may include, for example, the instructions being executed by the processor(s) 1120). The instructions 1124 may also be referred to as program code or a computer program. The memory 1122 may also store data used by, and results computed by, the processor(s) 1120. 15 P66131WO14937-9683-0052\1

[0096] The network device 1118 may include one or more transceiver(s) 1126 that may include RF transmitter circuitry and / or receiver circuitry that use the antenna(s) 1128 of the network device 1118 to facilitate signaling (e.g., the signaling 1134) to and / or from the network device 1118 with other devices (e.g., the wireless device 1102) according to corresponding RATs.

[0097] The network device 1118 may include one or more antenna(s) 1128 (e.g., one, two, four, or more). In embodiments having multiple antenna(s) 1128, the network device 1118 may perform MIMO, digital beamforming, analog beamforming, beam steering, etc., as has been described.

[0098] The network device 1118 may include one or more interface(s) 1130. The interface(s) 1130 may be used to provide input to or output from the network device 1118. For example, a network device 1118 that is a base station may include interface(s) 1130 made up of transmitters, receivers, and other circuitry (e.g., other than the transceiver(s) 1126 / antenna(s) 1128 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.

[0099] The network device 1118 may include a predictive CSI feedback module 1132. The predictive CSI feedback module 1132 may be implemented via hardware, software, or combinations thereof. For example, the predictive CSI feedback module 1132 may be implemented as a processor, circuit, and / or instructions 1124 stored in the memory 1122 and executed by the processor(s) 1120. In some examples, the predictive CSI feedback module 1132 may be integrated within the processor(s) 1120 and / or the transceiver(s) 1126. For example, the predictive CSI feedback module 1132 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) 1120 or the transceiver(s) 1126.

[0100] The predictive CSI feedback module 1132 may be used for various aspects of the present disclosure, for example, aspects of FIG.1A, FIG.1B, FIG.2, FIG.3, FIG.4, FIG. 5, FIG.6A, FIG.6B, FIG. 7 and FIG.9.The predictive CSI feedback module 1132 may be configured to send configuration information from the base station to the UE for predictive CSI reporting, the configuration information indicating measurement resources for one or more DL channels. The predictive CSI feedback module 1132 may be further configured to 16 P66131WO14937-9683-0052\1receive, from the wireless device 1102, predictive CSI feedback using a codebook with combinatorial indexing to indicate a selection of a plurality of non-zero coefficients for one or more DD bases.

[0101] Embodiments contemplated herein include an apparatus comprising means to perform one or more elements of the method 800. This apparatus may be, for example, an apparatus of a UE (such as a wireless device 1102 that is a UE, as described herein).

[0102] 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 800. This non-transitory computer-readable media may be, for example, a memory of a UE (such as a memory 1106 of a wireless device 1102 that is a UE, as described herein).

[0103] Embodiments contemplated herein include an apparatus comprising logic, modules, or circuitry to perform one or more elements of the method 800. This apparatus may be, for example, an apparatus of a UE (such as a wireless device 1102 that is a UE, as described herein).

[0104] 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 800. This apparatus may be, for example, an apparatus of a UE (such as a wireless device 1102 that is a UE, as described herein).

[0105] Embodiments contemplated herein include a signal as described in or related to one or more elements of the method 800.

[0106] 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 800. The processor may be a processor of a UE (such as a processor(s) 1104 of a wireless device 1102 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 1106 of a wireless device 1102 that is a UE, as described herein).

[0107] Embodiments contemplated herein include an apparatus comprising means to perform one or more elements of the method 900. This apparatus may be, for example, an apparatus of a base station (such as a network device 1118 that is a base station, as described herein). 17 P66131WO14937-9683-0052\1

[0108] 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 900. This non-transitory computer-readable media may be, for example, a memory of a base station (such as a memory 1122 of a network device 1118 that is a base station, as described herein).

[0109] Embodiments contemplated herein include an apparatus comprising logic, modules, or circuitry to perform one or more elements of the method 900. This apparatus may be, for example, an apparatus of a base station (such as a network device 1118 that is a base station, as described herein).

[0110] 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 900. This apparatus may be, for example, an apparatus of a base station (such as a network device 1118 that is a base station, as described herein).

[0111] Embodiments contemplated herein include a signal as described in or related to one or more elements of the method 900.

[0112] 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 900. The processor may be a processor of a base station (such as a processor(s) 1120 of a network device 1118 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 1122 of a network device 1118 that is a base station, as described herein).

[0113] 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.

[0114] Any of the above described embodiments may be combined with any other embodiment (or combination of embodiments), unless explicitly stated otherwise. The 18 P66131WO14937-9683-0052\1foregoing 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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. 19 P66131WO14937-9683-0052\1

Claims

CLAIMS 1. A method for a user equipment (UE) to report predictive channel state information (CSI) to a base station, the method comprising: processing, at the UE, configuration information from the base station for predictive CSI reporting using a codebook, the configuration information indicating measurement resources for one or more downlink (DL) occasions; measuring a channel response and interference using the measurement resources; generating predictive CSI feedback using the codebook with combinatorial indexing to indicate a selection of a plurality of coefficients for one or more Doppler domain (DD) bases; and reporting the predictive CSI feedback to the base station.

2. The method of claim 1, wherein generating the predictive CSI feedback further comprises performing the combinatorial indexing per the one or more DD bases.

3. The method of claim 1, wherein generating the predictive CSI feedback further comprises performing the combinatorial indexing per a group of the one or more DD bases.

4. The method of claim 1, further comprising quantizing the plurality of coefficients using a vector quantizer.

5. The method of claim 4, wherein quantizing the plurality of coefficients further comprises performing a differential amplitude quantization of the plurality of coefficients.

6. The method of claim 1, wherein the plurality of coefficients are collocated.

7. A method for a base station to configure a user equipment (UE) to report predictive channel state information (CSI), the method comprising: sending configuration information from the base station to the UE for predictive CSI reporting, the configuration information indicating measurement resources for one or more downlink (DL) occasions; and receiving, from the UE, predictive CSI feedback using a codebook with combinatorial indexing to indicate a selection of a plurality of coefficients for one or more Doppler domain (DD) bases. 20 P66131WO14937-9683-0052\18. The method of claim 7, wherein using the codebook with the combinatorial indexing to indicate the selection of the plurality of coefficients for the one or more DD bases further comprises performing the combinatorial indexing per the one or more DD bases.

9. The method of claim 7, wherein using the codebook with the combinatorial indexing to indicate the selection of the plurality of coefficients for the one or more DD bases further comprises performing the combinatorial indexing per a group of the one or more DD bases.

10. The method of claim 7, further comprising quantizing the plurality of coefficients using a vector quantizer.

11. The method of claim 10, wherein quantizing the plurality of coefficients comprises performing a differential amplitude quantization of the plurality of coefficients.

12. The method of claim 7, wherein the plurality of coefficients are collocated.

13. A user equipment (UE) configured to report predictive channel state information (CSI) to a base station, the UE comprising: a transceiver; and at least one processor configured to: process, at the UE, configuration information from the base station for predictive CSI reporting using a codebook, the configuration information indicating measurement resources for one or more downlink (DL) occasions; measure a channel response and interference using the measurement resources; generate predictive CSI feedback using the codebook with combinatorial indexing to indicate a selection of a plurality of coefficients for one or more Doppler domain (DD) bases; and report the predictive CSI feedback to the base station.

14. The UE of claim 13, wherein the at least one processor configured to generate the predictive CSI feedback is further configured to perform the combinatorial indexing per the one or more DD bases.

15. The UE of claim 13, wherein the at least one processor configured to generate the predictive CSI feedback is further configured to perform the combinatorial indexing per a group of the one or more DD bases. 21 P66131WO14937-9683-0052\116. The UE of claim 13, wherein the at least one processor is further configured to quantize the plurality of coefficients using a vector quantizer.

17. The UE of claim 16, wherein the at least one processor configured to quantize the plurality of coefficients is further configured to perform a differential amplitude quantization of the plurality of coefficients.

18. An apparatus comprising means to perform the method of any of claim 1 to claim 12.

19. A 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 the method of any of claim 1 to claim 12.

20. An apparatus comprising logic, modules, or circuitry to perform the method of any of claim 1 to claim 12.

21. A baseband processor for a user equipment (UE) that is configured to cause the UE to perform one or more elements of any one of claim 1 to claim 6.

22. A baseband processor for a base station that is configured to cause the base station to perform one or more elements of any one of claim 7 to claim 12. 22 P66131WO14937-9683-0052\1

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