An optimal PSO distributed precoding algorithm in QRD-based multi-relay system
This paper deals with distributed spatial precoding techniques in broadcast scheme based on QR decomposition (QRD). Given the total transmit power of all relay nodes, the distributed spatial precoder assigns different transmitting power to each relay node. Each distributed precoder is equivalent to a spot in multi-dimensional space. Based on system capacity maximization, an improved particle swarm optimization (PSO) algorithm is proposed, which is used to search for a global optimal solution in d d -dimension space. The simulation shows that the distributed spatial precoding algorithm based on the PSO algorithm can enhance system capacity performance effectively. Compared with the traditional QRD broadcast scheme, this papers new distributed precoding can enhance about 20% system capacity gain.
multi-relay system qr decomposition (qrd) particle swarm optimization (pso) distributed pre-coding