Relay selection based on MAP estimation for cooperative communication with outdated channel state information

In this paper, we consider an amplify-and-forward (AF) cooperative communication system when the channel state information (CSI) used in relay selection differs from that during data transmission, i.e., the CSI used in relay selection is outdated. The selected relay may not be actually the best for data transmission and the outage performance of the cooperative system will deteriorate. To improve its performance, we propose a relay selection strategy based on maximum a posteriori (MAP) estimation, where relay is selected based on predicted signal-to-noise ratio (SNR). To reduce the computation complexity, we approximate the a posteriori probability density of SNR and obtain a closed-form predicted SNR, and a relay selection strategy based on the approximate MAP estimation (RS-AMAP) is proposed. The simulation results show that this approximation leads to trivial performance loss from the perspective of outage probability. Compared with relay selection strategies given in the literature, the outage probability is reduced largely through RS-AMAP for medium-to-large transmitting powers and medium-to-high channel correlation coefficients.     

连续时变信道对协作通信性能影响的研究

协作通信能够抵抗无线信道衰落,是提高无线通信系统性能的有效手段。但是,其性能优势的发挥受信道时变的影响。文章研究了连续时变信道下协作通信系统的性能,为了准确反映信道连续时变情况,采用内插滤波高斯噪声法构建连续时变信道模型,选取误包率作为性能指标。仿真结果表明,连续时变信道下,随数据传输逐渐加重程度的过时信道状态信息将导致协作通信误包率性能大幅恶化。