Joint Beam Management and Power Allocation in THz-NOMA Networks

被引:10
作者
Ding, Zhiguo [1 ,2 ]
Poor, H. Vincent [3 ]
机构
[1] Khalifa Univ, Dept Elect Engn & Comp Sci, Abu Dhabi, U Arab Emirates
[2] Univ Manchester, Dept Elect & Elect Engn, Manchester M13 9PL, England
[3] Princeton Univ, Dept Elect & Comp Engn, Princeton, NJ 08544 USA
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”; 美国国家科学基金会;
关键词
Resource management; NOMA; Array signal processing; Optimization; Bandwidth; Throughput; OFDM; Non-orthogonal multiple access (NOMA); terahertz (THz); the branch and bound method; successive convex approximation; beam management; power allocation; MILLIMETER-WAVE NOMA; RESOURCE-ALLOCATION; MIMO; FUTURE; DESIGN;
D O I
10.1109/TCOMM.2023.3240432
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
This paper investigates how to apply non-orthogonal multiple access (NOMA) as an add-on in terahertz (THz) networks. In particular, prior to the implementation of NOMA, it is assumed that there exists a legacy THz system, where spatial beams have already been configured to serve legacy primary users. The aim of this paper is to study how these pre-configured spatial beams can be used as a type of bandwidth resources, on which additional secondary users are served without degrading the performance of the legacy primary users. A joint beam management and power allocation problem is first formulated as a mixed combinatorial non-convex optimization problem, and then solved by two methods with different performance-complexity tradeoffs, one based on the branch and bound method and the other based on successive convex approximation. Both analytical and simulation results are presented to illustrate the new features of beam-based resource allocation in THz-NOMA networks and also demonstrate that those pre-configured spatial beams can be employed to improve the system throughput and connectivity in a spectrally efficient manner.
引用
收藏
页码:2059 / 2073
页数:15
相关论文
共 30 条
[1]  
Akyildiz Ian F, 2022, ITU J. Future Evol. Technol, V3, P1
[2]   Analytical Performance Assessment of THz Wireless Systems [J].
Boulogeorgos, Alexandros-Apostolos A. ;
Papasotiriou, Evangelos N. ;
Alexiou, Angeliki .
IEEE ACCESS, 2019, 7 :11436-11453
[3]   Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems [J].
Cui, Jingjing ;
Liu, Yuanwei ;
Ding, Zhiguo ;
Fan, Pingzhi ;
Nallanathan, Arumugam .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (03) :1502-1517
[4]   Potentials and Limits of Using Preconfigured Spatial Beams as Bandwidth Resources: Beam Selection Versus Beam Aggregation [J].
Ding, Zhiguo .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (12) :2575-2579
[5]   Design of THz-NOMA in the Presence of Beam Misalignment [J].
Ding, Zhiguo ;
Poor, H. Vincent .
IEEE COMMUNICATIONS LETTERS, 2022, 26 (07) :1678-1682
[6]   Unveiling the Importance of SIC in NOMA Systems-Part 1: State of the Art and Recent Findings [J].
Ding, Zhiguo ;
Schober, Robert ;
Poor, H. Vincent .
IEEE COMMUNICATIONS LETTERS, 2020, 24 (11) :2373-2377
[7]   A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends [J].
Ding, Zhiguo ;
Lei, Xianfu ;
Karagiannidis, George K. ;
Schober, Robert ;
Yuan, Jinhong ;
Bhargava, Vijay K. .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2017, 35 (10) :2181-2195
[8]   NOMA Meets Finite Resolution Analog Beamforming in Massive MIMO and Millimeter-Wave Networks [J].
Ding, Zhiguo ;
Dai, Linglong ;
Schober, Robert ;
Poor, H. Vincent .
IEEE COMMUNICATIONS LETTERS, 2017, 21 (08) :1879-1882
[9]   An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems [J].
Heath, Robert W., Jr. ;
Gonzalez-Prelcic, Nuria ;
Rangan, Sundeep ;
Roh, Wonil ;
Sayeed, Akbar M. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2016, 10 (03) :436-453
[10]   Coordinated Beamforming for Multiuser MISO Interference Channel Under Rate Outage Constraints [J].
Li, Wei-Chiang ;
Chang, Tsung-Hui ;
Lin, Che ;
Chi, Chong-Yung .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (05) :1087-1103