联合功率分配的全双工MIMO中继最小速率优化

针对全双工多天线中继系统的端到端速率受到信道估计误差和发射机/接收机有限动态范围影响的问题，将中继端到端速率问题转换为加权总速率最优问题，提出一种联合功率分配算法．该算法通过联合优化源节点和中继节点的预编码矩阵，使系统能够根据信道状态信息联合分配源节点和中继节点的功率．仿真结果表明，联合功率分配算法相较于传统的单节点功率约束算法能够提升系统最小速率，抑制自干扰的影响．

Minimum rate optimization with joint power allocation for full-duplex MIMO relay

This paper aims at maximizing the end-to-end rate of the full-duplex Multiple-Input Multiple-Output (MIMO) relay system suffering from channel estimation errors and the limited dynamic range (LDR) of electronic components in the RF chain. The problem of rate maximization is formulated as a weighted sum-rate optimization problem and we propose a joint power allocation (JPA) algorithm to solve it. Allowing the system to allocate power based on the channel state information (CSI), JPA is able to jointly optimize the pre-coding matrices of the source node and the relay node. Simulation results reveal that the JPA algorithm outperforms the traditional algorithms associated with individual power constraints.