基于接入控制与干扰对齐的MIMO链路调度算法

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (4): 907-913.

基于接入控制与干扰对齐的MIMO链路调度算法

熊最, 王可人, 金虎, 徐云

电子工程学院,安徽合肥 230037

收稿日期:2014-12-15 修回日期:2015-04-16 出版日期:2016-04-08 发布日期:2020-07-02
作者简介:熊最(1988-),男,湖北黄冈,博士生,研究方向为干扰对齐;王可人(1957-),男,江苏镇江,教授,博导,研究方向为通信信号处理;金虎(1973-),男,安徽潜山,博士,副教授,研究方向为通信信号处理等。

Novel Access Control and Interference Alignment Based MIMO Link Scheduling Algorithm

Xiong Zui, Wang Keren, Jin Hu, Xu Yun

Electronic Engineering Institute, Hefei 230037, China

Received:2014-12-15 Revised:2015-04-16 Online:2016-04-08 Published:2020-07-02

摘要/Abstract

摘要： 干扰对齐(Interference Alignment,IA)因其能提升MIMO(Multiple Input Multiple Output)系统性能受到了广泛关注。现有链路调度将接入控制与最小干扰泄露准则(Minimum Interference Leakage,MinL)的IA相结合以保证系统稳定性,但MinL准则下IA获取的期望信号增益较弱。为了弥补这一不足,提出将基于MaxSINR准则的IA算法,提出了一种基于IA-MaxSINR的半分布式调度算法SDSIA-MaxSINR。理论分析和仿真实验表明,MaxSINR-IA算法的计算复杂度比MinL-IA算法高,但在高SINR需求下,SDSIA-MaxSINR算法所获取的吞吐量明显高于SDSIA-MinL算法。

关键词: 链路调度, 接入控制, 干扰对齐, MIMO网络

Abstract: Interference alignment (IA) attracts global attention for its capability of improving the throughput of MIMO systems. To ensure the system stability, researchers proposed access control and IA combined in link scheduling. In order to compensate for the deficiency of minimum interference leakage IA (MinL-IA) algorithm in terms of the expected signal gain, an alternative IA algorithm named MaxSINR-IA combined with access control was applied, and a novel semi-distributed scheduling algorithm（SDSIA-MaxSINR） algorithm was proposed. The theoretical analysis and simulation results demonstrate that SDSIA-MaxSINR algorithm is evidently superior to SDSIA-MinL algorithm in a higher SINR requirement, although MaxSINR-IA is inferior to the MinL-IA in terms of computational complexity.

Key words: link scheduling, access control, interference alignment, MIMO network

中图分类号:

TN914

熊最, 王可人, 金虎, 徐云. 基于接入控制与干扰对齐的MIMO链路调度算法[J]. 系统仿真学报, 2016, 28(4): 907-913.

Xiong Zui, Wang Keren, Jin Hu, Xu Yun. Novel Access Control and Interference Alignment Based MIMO Link Scheduling Algorithm[J]. Journal of System Simulation, 2016, 28(4): 907-913.

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