基于公平度门限的多用户OFDM系统自适应资源分配算法

Adaptive resource allocation in multiuser OFDM system based on fairness threshold

在传统的子载波分配过程中,具有优先权的用户将优先选择最好的载波,这将导致载波利用效率下降。许多改进算法通过牺牲一定的公平性来提升容量并降低复杂度,但是这可能会使用户间无法达到所要求的公平性。针对这些问题,提出了一种基于公平度门限的载波和功率自适应分配算法。在载波分配过程中,通过公平度门限来决定载波分配优先级,从而实现容量和公平度的粗略折中。载波分配后利用粒子群(PSO)算法进行功率分配来达到所要求的公平度门限。实验结果表明,该算法在满足所要求公平度门限的同时提升了系统容量。

In traditional sub-carrier allocation process, user with the highest priority can choose best sub-carrier, which will result in low utilization of sub-carriers. Current improved algorithms can improve system capacity and reduce algorithm complexity by sacrificing certain fairness, but they may not achieve fairness requirement among users. In order to solve this problem, a new adaptive resource allocation algorithm based on fairness threshold was proposed, in which the priority of the sub-carrier allocation was determined by fairness threshold to achieve a rough tradeoff between capacity and fairness. Then power allocation base on particle swarm optimization （PSO） was introduced to realize the required fairness. Experimental results show that the proposed adaptive resource allocation algorithm can satisfy the fairness requirement threshold and improve system capacity.