WO2021151855A1 - Rapport d'indicateur de précision de csi pour canal de diffusion mu-mimo - Google Patents

Rapport d'indicateur de précision de csi pour canal de diffusion mu-mimo Download PDF

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Publication number
WO2021151855A1
WO2021151855A1 PCT/EP2021/051667 EP2021051667W WO2021151855A1 WO 2021151855 A1 WO2021151855 A1 WO 2021151855A1 EP 2021051667 W EP2021051667 W EP 2021051667W WO 2021151855 A1 WO2021151855 A1 WO 2021151855A1
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Prior art keywords
state information
channel state
accuracy indicator
information accuracy
indicator
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PCT/EP2021/051667
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English (en)
Inventor
Ghaya Rekaya Ben-Othman
Salah Eddine HAJRI
Aymen ASKRI
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Nokia Technologies Oy
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/063—Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0645—Variable feedback
    • H04B7/0647—Variable feedback rate
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0658—Feedback reduction
    • H04B7/0663—Feedback reduction using vector or matrix manipulations

Definitions

  • the examples and non-limiting embodiments relate generally to communications and, more particularly, to a channel state information (CSI) accuracy indicator reporting for multi-user multiple-input and multiple-output (MU-MIMO) broadcast channel.
  • CSI channel state information
  • MU-MIMO multi-user multiple-input and multiple-output
  • FIG. 1 is a block diagram of one possible and nonlimiting system in which the example embodiments may be practiced.
  • FIG. 2 is a diagram showing the signaling between a UE and a RAN node (for example, a gNB) when introducing CSI accuracy indicator reporting.
  • a RAN node for example, a gNB
  • FIG. 3 depicts a system model of VP precoding.
  • FIG. 4 is a graph showing the bit error rate (BER) performance averaged over all users.
  • FIG. 5 depicts a system model of linear precoding.
  • FIG. 6 is a plot showing the performance of the MMSE precoder compared to other existing precoding techniques.
  • FIG. 7 is an example UE method for implementation of CSI accuracy indicator reporting for MU-MIMO broadcast channel.
  • FIG. 8 is an example radio node method for implementation of CSI accuracy indicator reporting for MU-MIMO broadcast channel.
  • DSP digital signal processor eNB or eNodeB evolved Node B (e.g., an LTE base station)
  • eNB or eNodeB evolved Node B (e.g., an LTE base station)
  • EN-DC E-UTRA-NR dual connectivity en-gNB or En-gNB node providing NR user plane and control plane protocol terminations towards the UE, and acting as secondary node in EN-DC
  • E-UTRA evolved universal terrestrial radio access, i.e., the LTE radio access technology
  • FDD Frequency Division Duplex gNB (or gNodeB) base station for 5G/NR, i.e., a node providing NR user plane and control plane protocol terminations towards the UE, and connected via the NG interface to the 5GC
  • UCI uplink control information UE User Equipment e.g., a wireless, typically mobile device
  • FIG. 1 shows a block diagram of one possible and non-limiting example in which the examples may be practiced.
  • a user equipment (UE) 110 radio access network (RAN) node 170, and network element(s) 190 are illustrated.
  • the user equipment (UE) 110 is in wireless communication with a wireless network 100.
  • a UE is a wireless device that can access the wireless network 100.
  • the UE 110 includes one or more processors 120, one or more memories 125, and one or more transceivers 130 interconnected through one or more buses 127.
  • Each of the one or more transceivers 130 includes a receiver, Rx, 132 and a transmitter, Tx, 133.
  • the one or more buses 127 may be address, data, or control buses, and may include any interconnection mechanism, such as a series of lines on a motherboard or integrated circuit, fiber optics or other optical communication equipment, and the like.
  • the one or more transceivers 130 are connected to one or more antennas 128.
  • the one or more memories 125 include computer program code 123.
  • the UE 110 includes a module 140, comprising one of or both parts 140-1 and/or 140-2, which may be implemented in a number of ways.
  • the module 140 may be implemented in hardware as module 140-1, such as being implemented as part of the one or more processors 120.
  • the module 140-1 may be implemented also as an integrated circuit or through other hardware such as a programmable gate array.
  • the module 140 may be implemented as module 140-2, which is implemented as computer program code 123 and is executed by the one or more processors 120.
  • the one or more memories 125 and the computer program code 123 may be configured to, with the one or more processors 120, cause the user equipment 110 to perform one or more of the operations as described herein.
  • the UE 110 communicates with RAN node 170 via a wireless link 111.
  • the RAN node 170 in this example is a base station that provides access by wireless devices such as the UE 110 to the wireless network 100.
  • the RAN node 170 may be, for example, a base station for 5G, also called New Radio (NR).
  • the RAN node 170 may be a NG-RAN node, which is defined as either a gNB or an ng-eNB.
  • a gNB is a node providing NR user plane and control plane protocol terminations towards the UE, and connected via the NG interface to a 5GC (such as, for example, the network element(s) 190).
  • the ng-eNB is a node providing E-UTRA user plane and control plane protocol terminations towards the UE, and connected via the NG interface to the 5GC.
  • the NG-RAN node may include multiple gNBs, which may also include a central unit (CU) (gNB-CU) 196 and distributed unit(s) (DUs) (gNB-DUs), of which DU 195 is shown.
  • the DU may include or be coupled to and control a radio unit (RU).
  • the gNB-CU is a logical node hosting radio resource control (RRC), SDAP and PDCP protocols of the gNB or RRC and PDCP protocols of the en-gNB that controls the operation of one or more gNB-DUs.
  • RRC radio resource control
  • the gNB-CU terminates the FI interface connected with the gNB-DU.
  • the FI interface is illustrated as reference 198, although reference 198 also illustrates a link between remote elements of the RAN node 170 and centralized elements of the RAN node 170, such as between the gNB-CU 196 and the gNB-DU 195.
  • the gNB-DU is a logical node hosting RLC, MAC and PHY layers of the gNB or en-gNB, and its operation is partly controlled by gNB-CU.
  • One gNB-CU supports one or multiple cells.
  • One cell is supported by only one gNB-DU.
  • the gNB-DU terminates the FI interface 198 connected with the gNB-CU.
  • the DU 195 is considered to include the transceiver 160, e.g., as part of a RU, but some examples of this may have the transceiver 160 as part of a separate RU, e.g., under control of and connected to the DU 195.
  • the RAN node 170 may also be an eNB (evolved NodeB) base station, for LTE (long term evolution), or any other suitable base station or node.
  • eNB evolved NodeB
  • the RAN node 170 includes one or more processors 152, one or more memories 155, one or more network interfaces (N/W I/F(s)) 161, and one or more transceivers 160 interconnected through one or more buses 157.
  • Each of the one or more transceivers 160 includes a receiver, Rx, 162 and a transmitter, Tx, 163.
  • the one or more transceivers 160 are connected to one or more antennas 158.
  • the one or more memories 155 include computer program code 153.
  • the CU 196 may include the processor(s) 152, memories 155, and network interfaces 161. Note that the DU 195 may also contain its own memory/memories and processor(s), and/or other hardware, but these are not shown.
  • the RAN node 170 includes a module 150, comprising one of or both parts 150-1 and/or 150-2, which may be implemented in a number of ways.
  • the module 150 may be implemented in hardware as module 150-1, such as being implemented as part of the one or more processors 152.
  • the module 150-1 may be implemented also as an integrated circuit or through other hardware such as a programmable gate array.
  • the module 150 may be implemented as module 150-2, which is implemented as computer program code 153 and is executed by the one or more processors 152.
  • the one or more memories 155 and the computer program code 153 are configured to, with the one or more processors 152, cause the RAN node 170 to perform one or more of the operations as described herein.
  • the functionality of the module 150 may be distributed, such as being distributed between the DU 195 and the CU 196, or be implemented solely in the DU 195.
  • the one or more network interfaces 161 communicate over a network such as via the links 176 and 131.
  • Two or more gNBs 170 may communicate using, e.g., link 176.
  • the link 176 may be wired or wireless or both and may implement, for example, an Xn interface for 5G, an X2 interface for LTE, or other suitable interface for other standards.
  • the one or more buses 157 may be address, data, or control buses, and may include any interconnection mechanism, such as a series of lines on a motherboard or integrated circuit, fiber optics or other optical communication equipment, wireless channels, and the like.
  • the one or more transceivers 160 may be implemented as a remote radio head (RRH) 195 for LTE or a distributed unit (DU) 195 for gNB implementation for 5G, with the other elements of the RAN node 170 possibly being physically in a different location from the RRH/DU, and the one or more buses 157 could be implemented in part as, for example, fiber optic cable or other suitable network connection to connect the other elements (e.g., a central unit (CU), gNB-CU) of the RAN node 170 to the RRH/DU 195.
  • Reference 198 also indicates those suitable network link(s).
  • each cell performs functions, but it should be clear that equipment which forms the cell will perform the functions.
  • the cell makes up part of a base station. That is, there can be multiple cells per base station. For example, there could be three cells for a single carrier frequency and associated bandwidth, each cell covering one-third of a 360 degree area so that the single base station's coverage area covers an approximate oval or circle.
  • each cell can correspond to a single carrier and a base station may use multiple carriers. So if there are three 120 degree cells per carrier and two carriers, then the base station has a total of 6 cells.
  • the wireless network 100 may include a network element or elements 190 that may include core network functionality, and which provides connectivity via a link or links 181 with a further network, such as a telephone network and/or a data communications network (e.g., the Internet).
  • core network functionality for 5G may include access and mobility management function(s) (AMF(S)) and/or user plane functions (UPF(s)) and/or session management function(s) (SMF(s)).
  • AMF(S) access and mobility management function(s)
  • UPF(s) user plane functions
  • SGW Ses Management Entity
  • MME Mobility Management Entity
  • SGW Serving Gateway
  • the RAN node 170 is coupled via a link 131 to the network element 190.
  • the link 131 may be implemented as, e.g., an NG interface for 5G, or an SI interface for LTE, or other suitable interface for other standards.
  • the network element 190 includes one or more processors 175, one or more memories 171, and one or more network interfaces (N/W I/F(s)) 180, interconnected through one or more buses 185.
  • the one or more memories 171 include computer program code 173.
  • the one or more memories 171 and the computer program code 173 are configured to, with the one or more processors 175, cause the network element 190 to perform one or more operations.
  • the wireless network 100 may implement network virtualization, which is the process of combining hardware and software network resources and network functionality into a single, software-based administrative entity, a virtual network.
  • Network virtualization involves platform virtualization, often combined with resource virtualization.
  • Network virtualization is categorized as either external, combining many networks, or parts of networks, into a virtual unit, or internal, providing network-like functionality to software containers on a single system. Note that the virtualized entities that result from the network virtualization are still implemented, at some level, using hardware such as processors 152 or 175 and memories 155 and 171, and also such virtualized entities create technical effects.
  • the computer readable memories 125, 155, and 171 may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as semiconductor based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory.
  • the computer readable memories 125, 155, and 171 may be means for performing storage functions.
  • the processors 120, 152, and 175 may be of any type suitable to the local technical environment, and may include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on a multi-core processor architecture, as non-limiting examples.
  • the processors 120, 152, and 175 may be means for performing functions, such as controlling the UE 110, RAN node 170, network element(s) 190, and other functions as described herein.
  • the various embodiments of the user equipment 110 can include, but are not limited to, cellular telephones such as smart phones, tablets, personal digital assistants (PDAs) having wireless communication capabilities, portable computers having wireless communication capabilities, image capture devices such as digital cameras having wireless communication capabilities, gaming devices having wireless communication capabilities, music storage and playback appliances having wireless communication capabilities, Internet appliances permitting wireless Internet access and browsing, tablets with wireless communication capabilities, as well as portable units or terminals that incorporate combinations of such functions.
  • PDAs personal digital assistants
  • image capture devices such as digital cameras having wireless communication capabilities
  • gaming devices having wireless communication capabilities
  • music storage and playback appliances having wireless communication capabilities
  • Internet appliances permitting wireless Internet access and browsing, tablets with wireless communication capabilities, as well as portable units or terminals that incorporate combinations of such functions.
  • CSI channel state information
  • MU-MIMO multi-user multiple-input and multiple-output
  • the examples herein relate to NR CSI type II, which provide high accuracy PMI at a cost of high overhead.
  • Channel impairments impact the reported PMI accuracy and hence degrade the MIMO precoder performance.
  • a new metric is provided relating to channel impairment and hence to CSI accuracy.
  • the new metric may be referred to as CSI accuracy indicator (CSIAI).
  • the new metric is lower bandwidth than CSI and may be reported more frequently or at different time instances than CSI.
  • the metric may be used to trigger the full CSI reporting (resulting in reduced CSI reporting overhead), and/or the metric may be used to fine-tune the linear or non- linear precoder design which is based on the reported PMI (resulting in increased precoder performance).
  • the new channel impairment metric may be estimated from SINR of the DMRS signal. This is advantageous because the DMRS signal is already transmitted in order to perform demodulation of data. Hence, the new metric may reduce CSI- RS resource overhead, as well as the reported CSI overhead.
  • 5G NR relies heavily on beamforming, to increase coverage, diversity or combining gains.
  • the user equipment (UE) has to report the DL CSI (PMI, CQI, RI, Ll-RSRP, ...) to the gNB over PUCCH or PUSCH, depending on the configuration, and on the CSI payload.
  • the type II codebook is by far the most accurate codebook and the most suitable for MU-MIMO operations.
  • the Rel-16 type II codebook is compressed both in the spatial and frequency domains in order to maintain high accuracy levels while reducing the strain on uplink resources [3]. Nevertheless, further optimization is possible by exploiting the time dimension of the CSI process.
  • CSIAI channel state information accuracy indicator
  • the UE derives the channel estimation accuracy, by exploiting the SINR of the DMRS signal in downlink, as well as other information (e.g., previously computed CSIAI), and sends back an accuracy indicator, for each of its channel spatial layers or commonly for all layers to the gNB.
  • Other information e.g., previously computed CSIAI
  • RSRP reference signal received power
  • the transmission of this reliability indicator requires minimal overhead, unlike PMI reports (e.g., Rel-15 and Rel-16 type II [Refer to R- 1907315, MU-CSI Rank extension parameter setting and UCI design, Nokia, Nokia Shanghai Bell, Reno, USA, May 19]).
  • the transmission of the accuracy indicators can be periodic, aperiodic or semi-persistent, depending on CSI-RS resource configuration.
  • transmission of accuracy indicators, as part of uplink control signaling might be independently or dependently triggered or configured with a different periodicity compared to PMI reporting. This would provide more flexibility to the gNB to update its precoders while efficiently managing uplink PUSCH and PUCCH resources.
  • CSIAI channel state accuracy indicator
  • RRC channel state accuracy indicator
  • CSIAI measurement and reporting may be configured as periodic, aperiodic, or semi-persistent regardless of PMI feedback configuration.
  • the method may further comprise sending over PUCCH or PUSCH, a quantized CSIAI per layer or common for all layers, or sending over PUCCH or PUSCH, an index corresponding to a CSIAI value in a predefined lookup table, based on the downlink DMRS SINR.
  • a UE may perform CSIAI measurements based on CSI-RS or downlink DMRS. CSIAI measurement and reporting may be performed in the same or different time instances as the PMI.
  • CSIAI may be used to select appropriate timing to trigger full CSI reporting, including PMI (event-based reporting), consequently reducing the strain on uplink resources and providing flexibility in managing PUSCH/PUCCH resources.
  • PMI event-based reporting
  • Reduce CSI-RS transmission as CSIAI can be computed solely on DMRS measurements (leaner carrier).
  • the DMRS in downlink (via NR-PBCH, NR-PDCCH, NR-PDSCH) the UE receives is used to compute the CSIAI.
  • the UE Based on the SINR estimation calculated from the DMRS of the received signal, the UE computes the CSIAI, and feeds back its value to the BS via uplink channels (NR-PUCCH, NR-PUSCH) in different, or in the same time instances as the PMI.
  • NR-PUCCH uplink channels
  • NR-PUSCH uplink channels
  • the CSIAI can be periodic, semi-persistent or aperiodic regardless of the PMI feedback configuration.
  • DMRS information in DL is a special persistent type of physical layer signal in NR 5G which functions as a reference signal for decoding PDSCH.
  • the network occasionally presents users with DMRS information for low-speed scenarios in which the channel shows little change. In high-mobility scenarios to track fast changes in a channel, it might increase the rate of transmission of the DMRS signal (called "additional DMRS").
  • additional DMRS the rate of transmission of the DMRS signal
  • the UE may perform more frequent measurements of CSIAI without requiring additional triggering or configuration of CSI-RS.
  • the advantage of using DMRS information is to avoid additional reference signals which enables allocation of more resource elements for data transmission but also reduces the needed measurements at the UE side which results in a significant complexity reduction.
  • the CSIAI is transmitted by the UE via uplink channels (NR-PUCCH, NR-PUSCH), which lowers the probability of CSI omission and provides further scheduling flexibility.
  • the network can use the CSIAI based on the SINR of DMRS information in DL to recognize opportune timings for trigger of full CSI feedback (including PMI).
  • the BS can be configured to trigger CSI-RS transmission and CSI reporting when the CSIAI drops below a fixed threshold.
  • the CSI feedback (including PMI) is reduced over time since it will be triggered only when CSIAI drops. This means that, over time, the rate of PMI feedback will be tailored to the channel aging in question.
  • the CSI accuracy indicator feedback configuration may be set by defining new information elements (i.e. in RRC as part of CSI report configuration).
  • a UE may be configured with periodic, aperiodic or semi-persistent CSIAI feedback, depending on CSI-RS resource configuration.
  • CSIAI and PMI reporting may be configured with similar or different periodicities.
  • PMI and CSI accuracy reporting might be jointly or independently triggered. There are various possible combinations for accuracy indicators reporting behavior and CSI-RS resources configuration.
  • FIG. 2 showcases the signaling between a UE and a RAN node (such as a gNB) when CSI reporting is configured as periodic and CSIAI reporting is configured aperiodic with periodic CSI-RS.
  • FIG. 2 is a diagram 200 showing the signaling between a UE 110 and a RAN node 170 when introducing CSI accuracy indicator reporting.
  • the transmission of CSIAI can be scheduled over PUCCH or PUSCH due to the low payload needed for this task. This results in improving uplink control signaling flexibility as the RAN node 170 has the choice between triggering a full CSI report or the transmission of CSIAI to update its precoders.
  • the RAN node 170 provides a higher layer (RRC) configuration to the UE 110.
  • the RAN node 170 provides DL-RS (CSI-RS) to the UE 110.
  • the CSI reporting period 205 is comprised of items 206 through 216.
  • the UE 110 provides a CSI report to the RAN node 170.
  • the RAN node 170 provides a low layer trigger (MAC CE or DCI) for CSI accuracy parameter to the UE 110.
  • the RAN node 170 provides DL-RS (CSI-RS) to the UE 110.
  • the UE 110 provides CSI accuracy parameter(s) reporting over PUSCH or PUCCH to the RAN node 170.
  • the RAN node 170 provides DL-RS (CSI-RS) to the UE 110.
  • the UE provides a CSI report to the RAN node 170.
  • CSI-RS DL-RS
  • the signaling and functionality of the UE 110 may be implemented using the module 140-1 and/or the module 140-2 of the UE 110 of FIG. 1; and the signaling and functionality of the RAN node 170 of FIG. 2 may be implemented using the module 150-1 and/or the module 150-2 of the RAN node 170 of
  • FIG. 1 An embodiment relating to the implementation and usage of CSIAI.
  • a MU-MIMO BC consisting of an M- antenna BS and K single antenna users for low-cost user devices (refer to UE 1 through UE K in FIG. 3).
  • the composite channel H [h 1 , h 2 , h K ] (see item 302 of FIG. 3) is the concatenation of the channel vectors.
  • the reconstructed channel vector at the BS is denoted as are independent random variables following an independent zero-mean complex Gaussian distribution with variance 1- ⁇ i 2 and ⁇ 1 2 , respectively.
  • precoding matrix and perturbation vector associated with VP precoding may be based on MMSE criterion. Accordingly, the system model 300 of VP precoding is shown in FIG. 3, showing the encoder 304.
  • the matrix D that appears in the model is a diagonal matrix defined as follows:
  • the optimal precoding matrix is given by and the optimal perturbation vector can be found as where u is the vector data symbol.
  • FIG. 4 shows the BER performance averaged over all users.
  • the matrix D that appears in the model is a diagonal matrix whose element at the ith row is equal to (1- ⁇ i 2 ) ⁇ 0 ⁇ 5 .
  • the optimal precoding matrix (and refer to of FIG. 5) is given by
  • Fig. 4 shows the bit error rate (BER) performance averaged over all users.
  • the estimation error variance for the first group of users is equal to while for the second group
  • FIG. 6 shows performance of the regularized-ZF with CSIAI precoder compared to other existing precoding techniques.
  • the described regularized-ZF with CSIAI technique plot 602 outperforms the channel inversion (ZF) (plot 606) and the regularized-ZF (plot 604).
  • the ceiling effect can be seen, where the average BER of all precoding techniques flattens for high SNR and does not improve by increasing the SNR.
  • the described precoding technique has the advantage of improving the ceiling and decreasing the error floor level.
  • FIG. 7 is an example UE method 700 for implementation of CSI accuracy indicator reporting for MU-MIMO broadcast channel.
  • the method includes receiving at least one channel state information accuracy indicator measurement configuration information element in radio resource control.
  • the method includes measuring a channel state information accuracy indicator based on one or a combination of: a demodulation reference signal signal-to-interference- plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator.
  • the method includes transmitting over physical uplink control channel or physical uplink shared channel, a quantized version of the channel state information accuracy indicator per layer or commonly for a plurality of layers.
  • the method includes transmitting at least one channel state information accuracy indicator measurement information configuration element in radio resource control.
  • the method includes receiving over physical uplink control channel or physical uplink shared channel, a quantized version of a channel state information accuracy indicator per layer or commonly for a plurality of layers.
  • the method includes wherein the channel state information accuracy indicator is based on one or a combination of: a demodulation reference signal based signal- to-interference-plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator.
  • An example method includes receiving at least one channel state information accuracy indicator measurement configuration information element in radio resource control; computing a channel state information accuracy indicator based on one or a combination of: a demodulation reference signal signal-to-interference-plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator; and reporting over physical uplink control channel or physical uplink shared channel, a quantized version of the channel state information accuracy indicator per layer or commonly for a plurality of layers.
  • the method may further include reporting over physical uplink control channel or physical uplink shared channel, an index corresponding to a channel state information accuracy indicator value in a predefined lookup table, based on the demodulation reference signal signal-to-interference- plus-noise ratio in downlink.
  • the method may further include wherein the channel state information accuracy indicator reporting is configured as either periodic, aperiodic, or semi-persistent independent to a precoding matrix indicator (PMI) feedback configuration.
  • PMI precoding matrix indicator
  • the method may further include wherein when the channel state information accuracy indicator reporting is configured as periodic, the channel state information accuracy indicator reporting and precoding matrix indicator reporting are configured with a same periodicity or with different periodicities .
  • the method may further include wherein when the channel state information accuracy indicator reporting is configured as aperiodic or semi-persistent, the channel state information accuracy indicator reporting and precoding matrix indicator reporting are either jointly or independently triggered.
  • the method may further include wherein the channel state information accuracy indicator computing is performed in the same time instance as a precoding matrix indicator (PMI), or in a different time instance as the PMI.
  • PMI precoding matrix indicator
  • the method may further include wherein the channel state information accuracy indicator is used by a user equipment to trigger channel state information (CSI) reporting that includes a precoding matrix indicator (PMI).
  • CSI channel state information
  • PMI precoding matrix indicator
  • the method may further include at least one of: computing a channel state information (CSI); receiving the channel state information reference signal (CSI-RS) when the channel state information accuracy indicator drops below a threshold; or triggering channel state information (CSI) reporting that includes the PMI when the channel state information accuracy indicator drops below a threshold.
  • CSI channel state information
  • the method may further include wherein computing the channel state information accuracy indicator is based on the demodulation reference signal, and the channel state information accuracy indicator is reported more frequently than a precoding matrix indicator.
  • An example method includes transmitting at least one channel state information accuracy indicator measurement information configuration element in radio resource control; and receiving over physical uplink control channel or physical uplink shared channel, a quantized version of a channel state information accuracy indicator per layer or commonly for a plurality of layers; wherein the channel state information accuracy indicator is based on one or a combination of: a demodulation reference signal based signal-to-interference- plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator.
  • the method may further include receiving over physical uplink control channel or physical uplink shared channel, an index corresponding to a channel state information accuracy indicator value in a predefined lookup table, based on the demodulation reference signal signal-to-interference- plus-noise ratio in downlink.
  • the method may further include wherein the channel state information accuracy indicator receiving is either periodic, aperiodic, or semi-persistent independent to a precoding matrix indicator (PMI) feedback configuration.
  • the method may further include wherein when the channel state information accuracy indicator receiving is periodic, the channel state information accuracy indicator receiving and precoding matrix indicator receiving are configured with a same periodicity or different periodicities.
  • the method may further include wherein when the channel state information accuracy indicator receiving is configured as aperiodic or semi-persistent, the channel state information accuracy indicator receiving and precoding matrix indicator receiving are either jointly or independently triggered.
  • the method may further include wherein the channel state information accuracy indicator is received in a same time instance as a precoding matrix indicator (PMI), or a different time instance as the PMI.
  • PMI precoding matrix indicator
  • the method may further include at least one of: transmitting a channel state information reference signal (CSI-RS) when the channel state information accuracy indicator drops below a threshold; or receiving channel state information (CSI) that includes a precoding matrix indicator (PMI) when the channel state information accuracy indicator drops below a threshold.
  • CSI-RS channel state information reference signal
  • PMI precoding matrix indicator
  • the method may further include using the channel state information accuracy indicator to optimize linear precoding.
  • the method may further include wherein a precoding matrix is optimized using the channel state information accuracy indicator during the linear precoding.
  • the method may further include using the channel state information accuracy indicator to optimize non-linear precoding.
  • the method may further include wherein a precoding matrix is optimized using the channel state information accuracy indicator during the non-linear precoding.
  • the method may further include wherein the non-linear precoding is implemented using a precoding matrix and perturbation vector associated with vector perturbation precoding based on a minimum mean square error criterion.
  • the method may further include wherein the perturbation vector is optimized using the channel state information accuracy indicator during the non-linear precoding.
  • the method may further include wherein the channel state information accuracy indicator is based on the demodulation reference signal, and further comprising receiving the channel state information accuracy indicator more frequently than a precoding matrix indicator.
  • An example apparatus includes at least one processor; and at least one non-transitory memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform: receive at least one channel state information accuracy indicator measurement configuration information element in radio resource control; compute a channel state information accuracy indicator based on one or a combination of: a demodulation reference signal signal-to-interference-plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator; and report over physical uplink control channel or physical uplink shared channel, a quantized version of the channel state information accuracy indicator per layer or commonly for a plurality of layers.
  • An example apparatus includes at least one processor; and at least one non-transitory memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform: transmit at least one channel state information accuracy indicator measurement information configuration element in radio resource control; and receive over physical uplink control channel or physical uplink shared channel, a quantized version of a channel state information accuracy indicator per layer or commonly for a plurality of layers; wherein the channel state information accuracy indicator is based on one or a combination of: a demodulation reference signal based signal- to-interference-plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator.
  • An example non-transitory program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine for performing operations comprising receiving at least one channel state information accuracy indicator measurement configuration information element in radio resource control; computing a channel state information accuracy indicator based on one or a combination of: a demodulation reference signal signal-to-interference-plus- noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator; and reporting over physical uplink control channel or physical uplink shared channel, a quantized version of the channel state information accuracy indicator per layer or commonly for a plurality of layers.
  • An example non-transitory program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine for performing operations comprising: transmitting at least one channel state information accuracy indicator measurement information configuration element in radio resource control; and receiving over physical uplink control channel or physical uplink shared channel, a quantized version of a channel state information accuracy indicator per layer or commonly for a plurality of layers; wherein the channel state information accuracy indicator is based on one or a combination of: a demodulation reference signal based signal-to-interference-plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator.
  • An example apparatus includes means for receiving at least one channel state information accuracy indicator measurement configuration information element in radio resource control; means for computing a channel state information accuracy indicator based on one or a combination of: a demodulation reference signal signal-to-interference- plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator; and means for reporting over physical uplink control channel or physical uplink shared channel, a quantized version of the channel state information accuracy indicator per layer or commonly for a plurality of layers.
  • An example apparatus includes means for transmitting at least one channel state information accuracy indicator measurement information configuration element in radio resource control; and means for receiving over physical uplink control channel or physical uplink shared channel, a quantized version of a channel state information accuracy indicator per layer or commonly for a plurality of layers; wherein the channel state information accuracy indicator is based on one or a combination of: a demodulation reference signal based signal-to-interference-plus-noise ratio, a channel state information reference signal, or a previous channel state information accuracy indicator.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé consiste à recevoir au moins un élément d'informations de configuration de mesure d'indicateur de précision d'informations d'état de canal dans une commande de ressource radio ; calculer un indicateur de précision d'informations d'état de canal sur la base d'un ou d'une combinaison d'un rapport signal sur brouillage plus bruit de signal de référence de démodulation, d'un signal de référence d'informations d'état de canal ou d'un indicateur de précision d'informations d'état de canal précédent ; et à rapporter sur un canal de commande de liaison montante physique ou un canal partagé de liaison montante physique, une version quantifiée de l'indicateur de précision d'informations d'état de canal par couche ou communément pour une pluralité de couches.
PCT/EP2021/051667 2020-01-31 2021-01-26 Rapport d'indicateur de précision de csi pour canal de diffusion mu-mimo WO2021151855A1 (fr)

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EP2357767A1 (fr) * 2010-02-17 2011-08-17 Research In Motion Limited Système et procédé pour retour d'informations sur le statut de canal dans un système de communication sans fil qui utilise une transmission à entrées et sorties multiples (MIMO)
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WO2024021620A1 (fr) * 2022-07-29 2024-02-01 网络通信与安全紫金山实验室 Procédé et appareil d'optimisation de performances pour système mimo, et dispositif et support de stockage associés

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