Total and Minimum Energy Efficiency Tradeoff in Robust Multigroup Multicast Satellite Communications

被引:8
|
作者
Jiang, Bin [1 ,2 ]
Yan, Yingchun [1 ,2 ]
Zhao, Jingjing [3 ]
Xiao, Xiang [1 ,2 ]
You, Li [1 ,2 ]
Zhang, Di [4 ]
Lei, Jizhao [5 ]
Wang, Kezhi [6 ]
Wang, Wenjin [1 ,2 ]
Gao, Xiqi [1 ,2 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211100, Peoples R China
[3] Beihang Univ, Dept Elect Informat Engn, Beijing 100191, Peoples R China
[4] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
[5] China Aerosp Sci & Technol Corp, Beijing 100094, Peoples R China
[6] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England
来源
基金
中国国家自然科学基金;
关键词
MASSIVE MIMO COMMUNICATIONS; OPTIMIZATION; TRANSMISSION; DOWNLINK; SYSTEMS; DESIGN; ALLOCATION;
D O I
10.34133/space.0059
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Satellite communication is an indispensable part of future wireless communications given its global coverage and long-distance propagation. In satellite communication systems, channel acquisition and energy consumption are two critical issues. To this end, we investigate the tradeoff between the total energy efficiency (TEE) and minimum EE (MEE) for robust multigroup multicast satellite communication systems in this paper. Specifically, under the total power constraint, we investigate the robust beamforming aimed at balancing the TEE-MEE, so as to achieve the balance between the fairness and total performance on the system EE. For this optimization problem, we first model the balancing problem as a nonconvex problem while deriving its approximate closed-form average user rate. Then, the nonconvex problem is handled by solving convex programs sequentially with the help of the semidefinite relaxation and the concave-convex procedure. In addition, depending on the solution rank value, Gaussian randomization and eigenvalue decomposition method are applied to generate the feasible solutions. Finally, simulation results illustrate that the proposed approach can effectively achieve the balance between the TEE and MEE, thus realizing a tradeoff between fairness and system EE performance. It is also indicated that the proposed robust approach outperforms the conventional baselines in terms of EE performance.
引用
收藏
页数:13
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