基于公平度和惩罚函数的OFDMA自适应资源分配

针对基于速率自适应准则的正交频分多址自适应资源分配中系统容量和用户公平度的问题,提出了一种采用子载波分配和功率分配两步来解决该问题的新方案。该方案主要通过基于公平度的子载波分配算法和基于惩罚函数的功率分配算法来实现。在子载波分配算法中,当满足公平度约束时就提高系统的容量,否则就提升用户的公平度。而子载波分配后,并不能较好地兼顾系统容量和用户公平度。所以,在功率分配算法中,又基于惩罚函数提出了一种新的功率寻优策略,并且该策略利用基于模拟退火思想的改进人工蜂群算法来实现系统容量和用户公平度的折中。仿真结果表明所提出的方案不仅可以有效地提升系统容量,同时也可以实现给定的公平度约束,进而证明所提方案的有效性。

OFDMA adaptive resource allocation based on fairness and penalty function

In order to solve the problems of system capacity and user fairness in orthogonal frequency division multiple access adaptive resource allocation at the base of rate adaption, a scheme which adopts the two steps of the subcarrier allocation and the power allocation is presented. This scheme is mainly achieved by the subcarrier allocation algorithm based on fairness and the power allocation algorithm based on penalty function. In the subcarrier allocation algorithm, the capacity of the system can be improved when the fairness constraint is satisfied, otherwise the fairness of the user can be improved. However, the system capacity and user fairness cannot be better balanced after the subcarrier allocation. In view of this problem, a power optimization strategy based on penalty function is proposed in the power allocation algorithm, and this strategy takes advantage of the improved artificial bee colony algorithm based on the simulated annealing to achieve the tradeoff between the system capacity and the user fairness. The simulation results show that the proposed scheme cannot only improve the system capacity effectively but also achieve a given fairness constraint. Therefore, the effectiveness of the proposed scheme is proved.