Low complexity power control approach based on MMSE detection for V-BLAST  

作　　者：Zhao Kun Qiu Ling Zhu Jinkang 

机构地区：[1]PCN & SS Lab, Univ. of Science and Technology of China, Hefei 230027, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2006年第4期743-749,共7页系统工程与电子技术（英文版）

基　　金：This project was supported by the National Natural Science Foundation of China ( 60496314).

摘　　要：A low complexity Per-Antenna Power Control （PAPC） approach based on Minimum Mean Squared Error （MMSE） detection for V-BLAST is proposed in this paper. The PAPC approach is developed for minimizing the Bit Error Rate （BER） averaged over all substreams when the data throughput and the total transmit power keep constant over time. Simulation results show that the Power-controlled V-BLAST （P-BLAST） outperforms the conventional V-BLAST in terms of BER performance with MMSE detector, especially in presence of high spatial correlation between antennas. However, the additional complexity for P-BLAST is not high. When MMSE detector is adopted, the P-BLAST can achieve a comparable BER performance to that of conventional V-BLAST with Maximum Likelihood （ML） detector but with low complexity.A low complexity Per-Antenna Power Control （PAPC） approach based on Minimum Mean Squared Error （MMSE） detection for V-BLAST is proposed in this paper. The PAPC approach is developed for minimizing the Bit Error Rate （BER） averaged over all substreams when the data throughput and the total transmit power keep constant over time. Simulation results show that the Power-controlled V-BLAST （P-BLAST） outperforms the conventional V-BLAST in terms of BER performance with MMSE detector, especially in presence of high spatial correlation between antennas. However, the additional complexity for P-BLAST is not high. When MMSE detector is adopted, the P-BLAST can achieve a comparable BER performance to that of conventional V-BLAST with Maximum Likelihood （ML） detector but with low complexity.

关 键 词：Vertical Bell Lab Layered Space-Time power control MINMAX minimum mean squared error aximum likelihood. 

分 类 号：TN929.5[电子电信—通信与信息系统]