Relaying Strategy Based on Estimated Information for Multi-Antenna Cooperative Networks  

作　　者：Shuangshuang Han Peng Zhang Feijin Shi Fei-Yue Wang 

机构地区：[1]The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation Chinese Academy of Sciences,Beijing,China and Qingdao Academy of Intelligent Industries [2]School of Computer Engineering,Weifang University [3]Communications Headquarters,Ministry of Foreign Affairs of the People's Republic of China [4]State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing,China and Research Center of Computational Experiments and Parallel Systems,The National University of Defense Technology

出　　处：《China Communications》2017年第8期157-165,共9页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China 61501461, 61471269, 71232006, and61533019;the Early Career Development Award of SKLMCCS (Y3S9021F34)

摘　　要：A sphere-based list forwarding scheme for multiple-input multiple-output(MIMO) relay networks is proposed and analyzed. Firstly, an estimate forwarding(EF) method is proposed, which forwards the minimum mean squared error(MMSE) estimate of the source data to the destination. Since it performs like amplify-and-forward(AF) and decode-and-forward(DF) for the low and high signal-to-noise ratio(SNR) regions, respectively, the EF relay thus outperforms conventional AF and DF across all SNRs without the need for switching algorithms for different SNRs. Because computational complexity is however high for relays with a large number of antennas(large MIMO) and/or high order constellations, list EF for large MIMO relay networks is proposed. It computes a list sphere decoder based MMSE estimate and retains the advantages of the exact EF relay at a negligible performance loss. The proposed list EF could offer a flexible trade-off between the performance and computational complexity.A sphere-based list forwarding scheme for multiple-input multiple-output（MIMO） relay networks is proposed and analyzed. Firstly, an estimate forwarding（EF） method is proposed, which forwards the minimum mean squared error（MMSE） estimate of the source data to the destination. Since it performs like amplify-and-forward（AF） and decode-and-forward（DF） for the low and high signal-to-noise ratio（SNR） regions, respectively, the EF relay thus outperforms conventional AF and DF across all SNRs without the need for switching algorithms for different SNRs. Because computational complexity is however high for relays with a large number of antennas（large MIMO） and/or high order constellations, list EF for large MIMO relay networks is proposed. It computes a list sphere decoder based MMSE estimate and retains the advantages of the exact EF relay at a negligible performance loss. The proposed list EF could offer a flexible trade-off between the performance and computational complexity.

关 键 词：MIMO system cooperative network soft information 

分 类 号：TN929.5[电子电信—通信与信息系统] TN916.427[电子电信—信息与通信工程]