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机构地区:[1]College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China [2]School of Information Science and Engineering, Southeast University, Nanjing 210096, China
出 处:《Science China(Information Sciences)》2010年第12期2548-2556,共9页中国科学(信息科学)(英文版)
基 金:supported by the National Basic Research Program of China (Grant No. 2007CB310603);the National Natural Science Foundation of China (Grant Nos. 60672093,60496310);the National High Technology Project of China (Grant No. 2007AA01Z262)
摘 要:In order to deal with the performance degradation resulting from the quantization error, this paper introduces the statistics of Grassmannian codebook's quantization error into relay precoding design for multirelay system. Based on the two-step MMSE optimization algorithm for relay precoding and receiver equalizing with full feedback under QoS requirements, we first propose a limited feedback two-step MMSE optimization scheme for relay precoding and receivcr equalizing with quantization error compensation, and then we propose a limited feedback joint MMSE optimization scheme for relay precoding and receiver equalizing with quantization error compensation subject to a global power constraint at the output of relays. Simulation results show that the proposed joint MMSE optimization scheme with quantization error compensation has a much lower bit-error rate than the two-step MMSE optimization scheme with quantization error compensation and the joint MMSE optimization scheme without quantization error compensation.In order to deal with the performance degradation resulting from the quantization error, this paper introduces the statistics of Grassmannian codebook's quantization error into relay precoding design for multirelay system. Based on the two-step MMSE optimization algorithm for relay precoding and receiver equalizing with full feedback under QoS requirements, we first propose a limited feedback two-step MMSE optimization scheme for relay precoding and receivcr equalizing with quantization error compensation, and then we propose a limited feedback joint MMSE optimization scheme for relay precoding and receiver equalizing with quantization error compensation subject to a global power constraint at the output of relays. Simulation results show that the proposed joint MMSE optimization scheme with quantization error compensation has a much lower bit-error rate than the two-step MMSE optimization scheme with quantization error compensation and the joint MMSE optimization scheme without quantization error compensation.
关 键 词:multi-relay PRECODING limited feedback minimum mean square error
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