具有高阶分集的协作系统中的功率分配算法

Power Allocation for Cooperative Systems with High-order Diversity

针对具有高阶分集的协作系统采用平均功率分配(EPA),导致系统平均误比特率性能较低的问题,提出了以最小化系统平均误比特率为目标的功率优化分配(OPA)算法。首先,推导了协作系统端到端误比特率的上界以及高信噪比条件下的渐近近似。在此基础上,推导了使系统平均误比特率最小的最优功率分配系数的闭式表达式。仿真结果表明,在保证总发射功率一定的条件下,所提功率分配算法相比平均功率分配可以有效降低系统的平均误比特率。

To overcome the resource inefficiency caused by equal power allocation（ EPA） in cooperative system with high-order diversity,an optimal power allocation（ OPA） algorithm is proposed to minimize the average bit error rate（ BER）. First,the upper bound of the end-to-end BER and its asymptotic approximation are derived.Then,the optimal power allocation factor is obtained,which leads to the minimum average BER.Simulation results show that the proposed algorithm can significantly improve the BER performance compared to the EPA scheme.