High-Performance Beamformer and Low-Complexity Detector for DF-Based Full-Duplex MIMO Relaying Networks  

作　　者：Feng Shu Ye Zhou Riqing Chen Jin Wang Jun Li Branka Vucetic 

机构地区：[1]College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2]School of Mobile Network, Nanjing Technology University Pujiang Institute, Nanjing 21134, China [3]School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China [4]National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China [5]School of Electrical and Information Engineering, the University of Sydney, NSW, Australia

出　　处：《China Communications》2017年第2期173-182,共10页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China (Nos. 61271230, 61472190, and 61501238);the Open Research Fund of National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation (No. 201500013);the open research fund of National Mobile Communications Research Laboratory, Southeast University, China (No. 2013D02);the Research Fund for the Doctoral Program of Higher Education of China (No. 20113219120019);the Foundation of Cloud Computing and Big Data for Agriculture and Forestry (117-612014063);the China Postdoctoral Science Foundation (2016M591852);Postdoctoral research funding program of Jiangsu Province (1601257C)

摘　　要：In this paper, we consider a full.duplex multiple.input multiple.output(MIMO) relaying network with the decode.and.forward(DF) protocol. Due to the full.duplex transmissions, the self.interference from the relay transmitter to the relay receiver degrades the system performance. We thus propose an iterative beamforming structure(IBS) to mitigate the self.interference. In this method, the receive beamforming at the relay is optimized to maximize the signal.to.interference.plus.noise.ratio(Max.SINR), while the transmit beamforming at the relay is optimized to maximize the signal.to.leakage.plusnoise.ratio(Max.SLNR). To further improve the performance, the receive and transmit beamforming matrices are optimized between Max.SINR and Max.SLNR in an iterative manner. Furthermore, in the presence of the residual self.interference, a low.complexity whitening.filter(WF) maximum likelihood(ML) detector is proposed. In this detector, a WF is designed to transform a colored interference.plus.noise to a white noise, while the singular value decomposition is used to convert coupled spatial subchannels to parallelindependent ones. From simulations, we find that the proposed IBS performs much better than the existing schemes. Also, the proposed low.complexity detector significantly reduces the complexity of the conventional ML(CML) detector from exponential time(an exponential function of the number of the source transmit antennas) to polynomial one while achieving a slightly better BER performance than the CML due to interference whitening.In this paper, we consider a full-duplex multiple-input multiple-output （MIMO） relaying network with the decode-and-forward （DF） protocol. Due to the full-duplex transmissions, the self-interference from the relay transmitter to the relay receiver degrades the system performance. We thus propose an iterative beamforming structure （IBS） to mitigate the self-interference. In this method, the receive beamforming at the relay is optimized to maximize the signal-to-inter- ference-plus-noise-ratio （Max-SINR）, while the transmit beamforming at the relay is opti- mized to maximize the signal-to-leakage-plus- noise-ratio （Max-SLNR）. To further improve the performance, the receive and transmit beamforming matrices are optimized between Max-SINR and Max-SLNR in an iterative manner. Furthermore, in the presence of the residual self-interference, a low-complexity whitening-filter （WF） maximum likelihood （ML） detector is proposed. In this detector, a WF is designed to transform a colored interference-plus-noise to a white noise, while the singular value decomposition is used to convert coupled spatial subchannels to parallel independent ones. From simulations, we find that the proposed IBS performs much better than the existing schemes. Also, the proposed low-complexity detector significantly reduces the complexity of the conventional ML （CML） detector from exponential time （an exponential function of the number of the source transmit antennas） to polynomial one while achieving a slightly better BER performance than the CML due to interference whitening.

关 键 词：decoding-and-forward MIMO relay full-duplex SELF-INTERFERENCE iterative beamforming 

分 类 号：TN919.3[电子电信—通信与信息系统]