基于最优中继集合选择的HDAF算法

为减少协作通信系统资源消耗,提出了一种基于混合译码放大前传(hybrid-decode-amplify-and-forward, HDAF)的中继选择算法。该算法以降低系统的中断概率和最小化总功率为目标,采用等效信道增益参数排序的方法,得到了最优中继集合的选择算法。该算法既保证通信过程更可靠,不易中断,又减少多余中继节点的使用,节省资源。仿真结果表明,采用最优中继集合选择算法,在10~30 dB的信噪比范围内,HDAF协作方式的中断概率要小于放大转发(amplify-and-forward, AF)和译码转发(decode-and-forward, DF)协作方式。该算法与功率分配相结合,在相同中断概率条件下,源节点所需功率比AF和DF协作方式少1~4 dBm,节约了系统资源的消耗。

Hybrid-decode-amplify-and-forward cooperative communication based on best relay selection algorithm

To reduce the resource consumption of cooperative communication systems, a relay selection algorithm based on hybrid decode-amplify-and-forward (HDAF) is proposed. Aiming to optimize the outage probability and the total power, the best relay selection algorithm for HDAF is selected through arranging the equivalent-channel gain in descent order. Employing the proposed algorithm, a reliable communication process can be achieved with a lower outage probability. Moreover, resources will be saved by eliminating redundant relays. Numerical results show that, for the best relay selection algorithm, the outage probability of HDAF is less than amplify-and-forward (AF) and decode-and-forward (DF) when the signal-to-noise ratio (SNR) is in the range of 10-30 dB. Furthermore, the proposed algorithm collaborated with power allocation is investigated. Compared with the AF and DF strategies, the source node power with the proposed algorithm can be reduced by 1-4 dBm at the same outage probability. Thus, the energy consumption is reduced.