Joint Power Allocation and Hybrid Beamforming for Downlink mmWave-NOMA Systems

被引:18
作者
Pang, Lihua [1 ,2 ]
Wu, Wenjie [1 ]
Zhang, Yang [2 ,3 ]
Yuan, Yin [1 ]
Chen, Yijian [4 ]
Wang, Anyi [1 ]
Li, Jiandong [2 ]
机构
[1] Xian Univ Sci & Technol, Sch Commun & Informat Engn, Xian 710054, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[4] ZTE Corp, Algorithm Dept, Shenzhen 518057, Peoples R China
基金
中国国家自然科学基金;
关键词
Array signal processing; Resource management; Optimization; NOMA; Hybrid power systems; Antenna arrays; Downlink; Power allocation; hybrid beamforming; mmWave-NOMA; user grouping; signal-to-leakage-plus-noise ratio (SLNR); NONORTHOGONAL MULTIPLE-ACCESS; MILLIMETER-WAVE NOMA; RESOURCE-ALLOCATION; MIMO-NOMA; ANTENNA; SPECTRUM;
D O I
10.1109/TVT.2021.3103762
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 the application of nonorthogonal multiple access (NOMA) in millimeter-Wave (mmWave) communications to address resource allocation issues for multiuser downlink transmission. Inspired by the K-means clustering algorithm, a NOMA user grouping policy is first employed in accordance with the channel correlation between users. The first-stage decoding order for each NOMA group is then determined by merely utilizing the users' channel gain to formulate a joint power allocation and hybrid beamforming optimization problem. Specifically, we use signal-to-leakage-plus-noise ratio (SLNR) as the performance index of the optimization problem to reduce the computational complexity, because it can decouple the design of the beamforming and power allocation issues so they can be executed iteratively. Under given beamforming matrix, the power allocation issue is expressed as a quadratic programming (QP) problem, and then transformed into a convex problem by introducing an auxiliary-positive real variable to solve through the Lagrange multiplier method. On the contrary, the beamforming optimization problem is non-convex and very difficult to solve due to the constant modulus constraints in the hybrid architecture. However, the optimum solution of the ideal full-digital beamforming can be acquired primarily by generalized eigenvalue decomposition (GED). In this condition, two hybrid beamforming algorithms are proposed, in which normalized phase matching and equal gain transmission are performed respectively in the analog domain. On this basis, a second-stage decoding order can be employed according to the effective channel gain of users to perform successive interference cancellation (SIC) successfully. Numerical results show that the proposed joint power allocation and hybrid beamforming algorithms are superior to the classical mmWave-NOMA and orthogonal multiple access (OMA) schemes not only in lower implementation complexity, but also in better spectrum efficiency and energy efficiency performance.
引用
收藏
页码:10173 / 10184
页数:12
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