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协作通信技术可以有效获取空间分集,并进一步改善系统的性能。为最小化多中继解码转发(decode-and-forward,DF)协作通信系统的总功率,同时满足系统要求的数据传输速率,提出了一种基于Lagrange算法的中继选择和功率分配的联合优化方案。首先根据信源与中继的瞬时信道状态信息(channel state information,CSI)使信源的发送功率最小化,然后选择出最大的可解码中继集合,再利用Lagrange算法对中继功率进行优化,根据得到的信源和中继的功率分配,选择出最佳中继集合,达到最小化系统总功率的目的。仿真结果表明,相对于直传方案和机会中继(opportunistic relay selection,ORS)方案,本研究中总功率消耗明显减少。
Collaborative communication technology can effectively gain space diversity and further improve system performance. In order to minimize the total power of decode-and-forward (DF) cooperative communication system and meet the data transmission rate required by the system, a joint optimization of relay selection and power allocation based on Lagrange algorithm Program. Firstly, the transmit power of the source is minimized according to the channel state information (CSI) of the source and the relay, and then the largest set of decodable relays is selected, and then the Lagrange algorithm is used to optimize the power of the relay. According to the obtained power distribution of the source and the relay, the best relay set is selected to achieve the purpose of minimizing the total system power. The simulation results show that the total power consumption in this study is significantly reduced compared with the direct transmission scheme and the opportunistic relay selection (ORS) scheme.