计算机工程与应用2018，Vol.54Issue(12)：74-79,6.DOI:10.3778/j.issn.1002-8331.1701-0205
大规模MIMO系统的改进RTS信号检测算法
Improved RTS signal detection algorithm for massive MIMO system
摘要
Abstract
Massive MIMO technology can effectively improve the spectrum efficiency and reduce the transmission power by increasing the number of antennas at the base station, making it a key technology in 5G mobile communication system. However, with the increase of the number of antennas, the complexity of the uplink signal detection increases significantly, the original detection algorithm cannot be achieved in reality. The Reactive Tabu Search(RTS)algorithm based on machine learning and artificial intelligence has become a hotspot in the industry with the advantage of low complexity. In this paper, RTS signal detection algorithm based on BC-GS(Block Constellations-Gauss Seidel)iterative method is pro-posed to reduce the computational complexity of initial solution to achieve the original BER performance.关键词
大规模MIMO/5G/主动禁忌搜索算法/迭代算法/信号检测Key words
large-scale MIMO/5G/Reactive Tabu Search(RTS)algorithm/iterative method/signal detection分类
信息技术与安全科学引用本文复制引用
王茜竹,李楠..大规模MIMO系统的改进RTS信号检测算法[J].计算机工程与应用,2018,54(12):74-79,6.基金项目
国家科技重大专项资助项目(No.2016ZX03002019-007-001) （No.2016ZX03002019-007-001）
重庆市教委科学技术研究项目(No.KJ1500427) （No.KJ1500427）
重庆市南岸区协同创新项目. （）
