电子科技大学学报2017，Vol.46Issue(5)：679-684,794,7.DOI:10.3969/j.issn.1001-0548.2017.05.007
认知MIMO系统中基于博弈论的干扰对齐算法研究
Interference Alignment for Cognitive Radio MIMO Cognitive System Based on Game Theory
摘要
Abstract
To eliminate interference and improve the transmission rate of cognitive radio multiple-input multiple-output (CR-MIMO) systems, an interference alignment algorithm based on game theory is proposed. The algorithm uses water-filling algorithm for maximum the transmission rate of primary user. Meanwhile, the pre-coding matrix of secondary users is designed for the secondary user signal to fall into free sub-channel of the primary user. Multiple interference links are constituted into a game group to achieve interference alignment of secondary users. Moreover, the power allocation of secondary users is formulated as selection problem of cuckoo's nests, the optimal power allocation is obtained according to the fitness function. Numerical simulation results show that this algorithm can eliminate the interference between the primary user and secondary users and the interference among secondary users. Compared with the maximize-signal-to-interference-plus-noise-ratio algorithm (Max-SINR), the interference alignment algorithm proposed can improve the transmission rate of secondary users about 2 b?s-1?Hz-2. Moreover, the transmission rate can also be improved by using cuckoo search algorithm for power distribution compared with the result presented elsewhere.关键词
认知无线电/布谷鸟搜索算法/博弈论/干扰对齐/次级用户Key words
cognitive radio/cuckoo search algorithm/game theory/interference alignment/secondary user分类
信息技术与安全科学引用本文复制引用
肖海林,张文娟,聂在平,胡悦..认知MIMO系统中基于博弈论的干扰对齐算法研究[J].电子科技大学学报,2017,46(5):679-684,794,7.基金项目
国家自然科学基金(61261018, 61472094) （61261018, 61472094）
广西自然科学基金杰出青年基金(2014GXNSFGA118007) （2014GXNSFGA118007）
广西自然科学基金重点项目(2011GXNSFD018028) （2011GXNSFD018028）
