Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications

被引:86
作者
Xu, Chengcheng [1 ]
Clerckx, Bruno [2 ]
Chen, Shiwa [1 ]
Mao, Yijie [3 ]
Zhang, Jianyun [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Engn, Hefei 230037, Peoples R China
[2] Imperial Coll London, Dept Elect & Elect Engn, Commun & Signal Proc Grp, London SW7 2AZ, England
[3] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
关键词
Radar; Interference; Radar antennas; Multiaccess communication; Silicon carbide; Sensors; MIMO radar; Alternating direction method of multipliers (ADMM); beampattern design; dual-functional radar-communication (DFRC); integrated sensing and communication (ISAC); rate-splitting multiple access (RSMA); MIMO RADAR; PARTIAL CSIT; COEXISTENCE; DESIGN; INFORMATION; SYSTEMS; CHANNEL;
D O I
10.1109/JSTSP.2021.3110312
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Dual-Functional Radar-Communication (DFRC) is a promising paradigm to achieve Integrated Sensing and Communication (ISAC) in beyond 5G. In parallel, Rate-Splitting Multiple Access (RSMA), relying on multi-antenna Rate-Splitting (RS) by splitting messages into common and private streams at the transmitter and Successive Interference Cancellation (SIC) at the receivers, has emerged as a new strategy for multi-user multi-antenna communications systems. In this paper, we show that RSMA can be used as a unified and powerful multiple access and interference management strategy for multi-antenna DFRC system, where the base station has a dual communication and radar capability to simultaneously communicate with downlink users and probe detection signals to azimuth angles of interests. To that end, we design the message splits as well as the precoders of the communication (private and common) streams and radar sequence to jointly maximize the Weighted Sum Rate (WSR) and minimize the radar beampattern approximation Mean Square Error (MSE) subject to the per-antenna power constraint. We make key and refreshing observations. First, the proposed RSMA-assisted DFRC framework embraces existing DFRC frameworks based on Space-Division Multiple Access (SDMA) as subschemes. Second, RSMA exploits synergies in DFRC by making a better use of the common stream and the SIC receivers for the triple function of managing interference among communication users, managing interference between communication and radar, and enhancing radar sensing. Third, by contrasting with existing SDMA-based DFRC schemes where transmitting an additional radar sequence enhances the WSR-MSE tradeoff, RSMA-assisted DFRC frameworks with and without radar sequence achieve the same tradeoff performance and outperform all schemes using SDMA or orthogonal resources. Therefore, by enabling RSMA in DFRC, the system performance is enhanced and the system architecture is simplified since there is no need to use an additional radar sequence. We conclude that RSMA is a powerful multiple access and interference management strategy for DFRC.
引用
收藏
页码:1332 / 1347
页数:16
相关论文
共 34 条
  • [1] [Anonymous], 1994, INTERIOR POINT POLYN
  • [2] Distributed optimization and statistical learning via the alternating direction method of multipliers
    Boyd S.
    Parikh N.
    Chu E.
    Peleato B.
    Eckstein J.
    [J]. Foundations and Trends in Machine Learning, 2010, 3 (01): : 1 - 122
  • [3] Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design
    Chiriyath, Alex R.
    Paul, Bryan
    Bliss, Daniel W.
    [J]. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2017, 3 (01) : 1 - 12
  • [4] Inner Bounds on Performance of Radar and Communications Co-Existence
    Chiriyath, Alex R.
    Paul, Bryan
    Jacyna, Garry M.
    Bliss, Daniel W.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (02) : 464 - 474
  • [5] Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysis
    Clerckx, Bruno
    Mao, Yijie
    Schober, Robert
    Poor, H. Vincent
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (03) : 349 - 353
  • [6] Multiuser Millimeter Wave Beamforming Strategies With Quantized and Statistical CSIT
    Dai, Mingbo
    Clerckx, Bruno
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (11) : 7025 - 7038
  • [7] A Rate Splitting Strategy for Massive MIMO With Imperfect CSIT
    Dai, Mingbo
    Clerckx, Bruno
    Gesbert, David
    Caire, Giuseppe
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (07) : 4611 - 4624
  • [8] On Transmit Beamforming for MIMO Radar
    Friedlander, Benjamin
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2012, 48 (04) : 3376 - 3388
  • [9] Transmit beamforming for MIMO radar systems using signal cross-correlation
    Fuhrmann, Daniel R.
    Antonio, Geoffrey San
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2008, 44 (01) : 171 - 186
  • [10] Grant M., 2010, CVX MATLAB SOFTWARE