期刊名称：International Journal of Distributed and Parallel Systems
印刷版ISSN：2229-3957
电子版ISSN：0976-9757
出版年度：2011
卷号：2
期号：4
DOI：10.5121/ijdps.2011.2410
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Recently research has been done on linear precoder design to minimize the receiver complexity. In our work, we design the linear precoder for the multiple input multiple output (MIMO) wireless communication system with multiple antennas at the base station (BS) and users each with multiple receiver antennas. Previous works on linear precoder design assume that perfect Channel State Info(CSI) is available at the Base station. But channel estimation error is unavoidable, due to the presence of noise in the channel estimation and due to feedback quantization. In a system employing Time Division Duplexing (TDD), CSI can be obtained at the base station if there is reciprocity between the forward and reverse channels. Channel estimation errors occur due to the presence of background noise in the estimated signal. We derive an MMSE based precoding technique for a MIMO system that considers channel estimation errors as an integral part of the system design. The proposed precoding technique significantly improves the average bit error rate (BER)
关键词：Recently research has been done on linear precoder design to minimize the receiver complexity. In our;work; we design the linear precoder for the multiple input multiple output (MIMO) wireless;communication system with multiple antennas at the base station (BS) and users each with multiple;receiver antennas. Previous works on linear precoder design assume that perfect Channel State Info(CSI);is available at the Base station. But channel estimation error is unavoidable; due to the presence of noise;in the channel estimation and due to feedback quantization. In a system employing Time Division;Duplexing (TDD); CSI can be obtained at the base station if there is reciprocity between the forward and;reverse channels. Channel estimation errors occur due to the presence of background noise in the;estimated signal. We derive an MMSE based precoding technique for a MIMO system that considers;channel estimation errors as an integral part of the system design. The proposed precoding technique;significantly improves the average bit error rate (BER)
