Millimeter-Wave MIMO-NOMA Antenna Selection Algorithms for Space Information Network

被引:0
|
作者
Chen, Zeqiong [1 ,2 ]
Jiao, Jian [1 ,2 ]
Li, Qiwen [1 ]
Feng, Bowen [1 ,2 ]
Wu, Shaohua [1 ,2 ]
Zhang, Qinyu [1 ,2 ]
机构
[1] Harbin Inst Technol Shenzhen, Commun Engn Res Ctr, Shenzhen 518055, Peoples R China
[2] Peng Cheng Lab, Shenzhen 518055, Peoples R China
来源
2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL) | 2020年
关键词
Space information network; millimeter-wave; multiple-input multiple-output; antenna selection;
D O I
10.11019/VTC2020-Fall49728.2020.9348763
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we focus on the design of low complexity antenna selection algorithm of a millimeter-wave (mmWave) multiple-input multiple-output nonorthogonal multiple access (MIMO-NOMA) for space information network (SIN). First, the angle-domain sparse geometric based mmWave channel model is utilized in the mmWave downlink system. By grouping the NOMA users according to the distance and path loss, the system performance is related to the instantaneous channel gain of users. Hence, we propose a continuous maximum antenna selection (CM-AS) algorithm, which can approach the maximum sum-rate of the high complexity exhaustive search algorithm. Based on this CM-AS algorithm, we propose two algorithms to improve the user fairness, including discrete maximum AS (DM-AS) and ratio maximization AS (RM-AS) algorithms. Simulations are conducted to confirm the performance of the proposed algorithms in sum-rate and user fairness, and shown that the DM-AS and RM-AS algorithms are reasonable compromise using in practice based on the sum-rate and fairness.
引用
收藏
页数:5
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