A Feedback Reduced Random Beamforming Algorithm Based on Opportunistic Eigenbeamforming System

摘要：

Abstract Opportunistic beamforming(OBF) is a powerful technique that exploits multiuser diversity to increase the system throughput on the downlink correlated wireless channels. Opportunistic eigenbeamforming(OEB) can achieve larger multiuser diversity gain than OBF under different degrees of channel correlation but it need additional feedback. This paper proposes a feedback reduced random beamforming algorithm based on OEB. In the proposed method, each user computes the correlation factor of the beamforming vectors generated by OBF and OEB. Those users whose correlation factor is greater than the predefined threshold feed back their SNRs， others don’t need to feed back SNRs, thus the base station choose the best user to transmit data. Simulation results show that the performance of the proposed algorithm is asymptotic to that of OEB while the overall feedback is significantly reduced.

关键词： Opportunistic beamforming Opportunistic eigenbeamforming multiuser diversity feedback reduced

作者: Yixin Han Huimin Chen Zhuo Wu Feng Lin

作者单位: School of Communication and Information Engineering,Shanghai University,Shanghai,200072,China

会议类型: 国际会议

会议名称: The IET 2nd International Conference on Wireless,Mobile & Multimedia Networks(第二届IET国际无线移动多媒体网络会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）