基于稀疏重构的多用户MIMO网络联合反馈策略  

Combined Feedback for Multiuser MIMO Networks Based on Sparse Reconsitution

作　　者：娄松涛[1] 谭营军[1] 

机构地区：[1]河南职业技术学院信息工程系,郑州450046

出　　处：《科技通报》2015年第6期106-108,共3页Bulletin of Science and Technology

基　　金：河南省高等教育教学改革研究项目(2014SJGLX381)

摘　　要：为解决多用户MIMO-OFDM网络反馈链路所面临的反馈链路开销大与频谱效率低的问题,提出了一种基于稀疏重构的多用户MIMO网络联合反馈策略。该策略将压缩感知应用于多用户MIMO-OFDM网络有限反馈,首先在接收端对由信道估计得出的信道状态信息进行稀疏重构,以最大程度降低反馈链路开销,然后观测矩阵自适应地反馈到发送端,在发送端通过压缩感知重构策略重构原始信道信息,有效降低了反馈链路处理复杂度和传输的数据量。仿真结果表明,在反馈量相同的前提下,该策略的反馈开销和频谱率性能都优于传统有限反馈机制,降低了通信链路的整体开销,并一定程度上改善了网络拥塞。In order to solve the multi user MIMO-OFDM network feedback link cost and low spectrum efficiency problem link faces, proposes a feedback algorithm for multi user MIMO network based on adaptive sparse compression. This algo?rithm will be compressed sensing applied to multi-user limited feedback MIMO-OFDM network, first at the receiving end of the channel state information is estimated by the channel sparse compression, to the greatest extent to reduce the cost of the feedback link, and then the observation matrix adaptively feedback to the sender, the compressed sensing reconstruc?tion algorithm to reconstruct the original channel information at the transmitter, effectively reduce the the feedback link pro?cessing complexity and the amount of data transmission. The simulation results show that, on the premise of the same amount of feedback, the feedback overhead and spectral efficiency performance are superior to the traditional finite feed?back mechanism, reducing the overall cost of communication link, and to a certain extent, improve the network congestion.

关 键 词：多输入多输出 多载波 稀疏重构 自适应反馈 

分 类 号：TN929.1[电子电信—通信与信息系统]