Massive MIMO反向链路检测的软探索算法研究
首发时间:2014-09-05
摘要:Massive MIMO技术是近些年无线通信理论研究的一个热点。它通过大幅度的提高基站天线的数量从而提供了更大的自由度,极大的提升了系统的容量和频谱使用率。随着天线规模的增大,在反向链路中,基于探索和统计学方式的检测算法表现出了较好的性能。本文中将首先对SSA(Sequential Soft-Heuristic Algorithm)算法进行简单的分析,同时提出LSSA算法,在复杂度和对高阶调制的解码能力上都有较大的提升。最后给出了两种算法仿真结果的比较,以评估其性能。
关键词: Massive MIMO;大规模天线阵列;反向链路检测;探索式算法
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Soft-Heuristic Based algorithm for the detecion in Massive MIMO Reverse Link
Abstract:Massive MIMO has already been a hotspot in the field of radio communication research these years. This technology provides tremendous degree of freedom by drastically expanding the scale of antenna array which makes it a promising method to improve the system capacity and spectral efficiency. When the scale of antenna array grows large, soft-heuristic based and statistic based algorithms will achieve favorable performance in the detection in reverse link. In this article,SSA(Sequential Soft-Heuristic Algorithm) is introduced and analyzed at first. Then a modified algorithm named as LSSA (Layered SSA) is proposed which will significantly improve the performance of SSA algorithm in computational complexity and detection of high order modulation. At last, a simulation is performed to evaluate these algorithms.
Keywords: Massive MIMO Large-Scale antenna array Detection in reverse link Soft-Heuristic algorithm
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