Reduced Complexity Rate-Splitting Multiple Access Beamforming for Generalized Objectives

被引:0
|
作者
Sadeghabadi, Elaheh [1 ]
Blostein, Steven D. [1 ]
机构
[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Rate-splitting multiple access; broadcast channel; multiple-input multiple-output communications; non-orthogonal multiple access; space-division multiple access; PARTIAL CSIT; DOWNLINK; TRANSMISSION; CAPACITY; SYSTEMS;
D O I
10.1109/ACCESS.2024.3483688
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Rate splitting multiple access (RSMA) enables interference management trade-offs between space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA) to serve multiple users in the multiple-input multiple-output (MIMO) broadcast channel. The design of RSMA beamforming, or precoding, to maximize typical rate performance is a non-convex optimization problem. In this paper, a parameterization of optimal beamforming directions for different performance maximization problems subject to a total power constraint is obtained for RSMA for systems with full column rank channel matrices. The performance evaluation function may be an arbitrary increasing function of split user rates. The proposed solution combines maximizing each stream's signal-to-noise-ratio (SNR) and reducing interference on other streams for different objectives. Using the derived beamforming directions, the design is completed by solving a power allocation problem. Simulation results reveal that the proposed approach is able to provide attractive performance/complexity trade-offs compared to existing schemes.
引用
收藏
页码:155958 / 155975
页数:18
相关论文
共 50 条
  • [11] Rate-splitting multiple access for discrete memoryless channels
    Grant, AJ
    Rimoldi, B
    Urbanke, RL
    Whiting, PA
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2001, 47 (03) : 873 - 890
  • [12] Cooperative Rate-Splitting Multiple Access in Heterogeneous Networks
    Kong, Chani
    Lu, Hancheng
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (10) : 2807 - 2811
  • [13] Flexible Rate-Splitting Multiple Access With Finite Blocklength
    Wang, Yuan
    Wong, Vincent W. S.
    Wang, Jiaheng
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2023, 41 (05) : 1398 - 1412
  • [14] Rate-Splitting Multiple Access Precoding for Selective Security
    Lee, Sangmin
    Park, Seokjun
    Park, Jeonghun
    Choi, Jinseok
    2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING, 2023,
  • [15] Rate-Splitting Multiple Access for Multibeam Satellite Communications
    Yin, Longfei
    Clerckx, Bruno
    2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
  • [16] RS-BNN: A Deep Learning Framework for the Optimal Beamforming Design of Rate-Splitting Multiple Access
    Wang, Yiwen
    Mao, Yijie
    Ji, Sijie
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (11) : 17830 - 17835
  • [17] Transformer-Empowered Predictive Beamforming for Rate-Splitting Multiple Access in Non-Terrestrial Networks
    Zhang, Shengyu
    Zhang, Shiyao
    Yuan, Weijie
    Quek, Tony Q. S.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (12) : 19776 - 19788
  • [18] Satellite User Grouping and Multi-Beam Patterning for Generalized Rate-Splitting Multiple Access
    Kim, Seonghoon
    Choi, Jihwan P.
    2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS, 2023, : 966 - 971
  • [19] Green Rate-Splitting Multiple Access for Multicell and Rate Fairness Maximization
    Hu, Guangwu
    Kumari, Saru
    Amoon, Mohammed
    Chen, Chien-Ming
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2025, 38 (04)
  • [20] Secure Rate-Splitting Multiple Access Transmissions in LMS Systems
    He, Minjue
    Zhao, Hui
    Miao, Xiaqing
    Wang, Shuai
    Pan, Gaofeng
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (01) : 19 - 23