摘要
大规模MIMO(多输入多输出)技术通过配置大规模天线阵列提高系统的频谱和能量效率,接收算法的复杂度是其实现的瓶颈。MCMC(马尔可夫链蒙特卡罗)检测方法可以较低复杂度获得接近理论最优的性能。提出一种改进的MCMC算法,将超松弛迭代方法应用于MCMC检测,引入松弛因子加快马尔可夫链收敛速度,降低检测复杂度。仿真结果表明,该算法能改善系统的误码率(BER)性能,解决传统MCMC算法在高信噪比条件下的"陷入"问题,同时降低运算复杂度。
Massive MIMO can achieve higher spectral and energy efficiency by large antenna array. The complexity of receive algorithm becomes the bottleneck of implementation. The MCMC detection algorithm can obtain the near optimal performance with low complexity. This paper presents an improved MCMC algorithm which introduces the over-relaxation iterative method to the MCMC detector. A relaxation factor is used to improve the convergence rate and reduce the complexity. Simulation results show that the proposed algorithm ameliorates the BER performance and the computational complexity simultaneously. The stalling problem in high signal-to-noise ratio of conventional MCMC detector is also resolved.
出处
《电子技术应用》
北大核心
2016年第5期101-103,108,共4页
Application of Electronic Technique
基金
浙江省自然科学基金资助项目(LQ15F010007)
