异常网络环境下OFDM自适应资源分配算法仿真

摘要

为了更好的适应网络实际的应用环境,需要进行异常网络环境下OFDM自适应资源分配算法的研究.但是采用当前算法进行OFDM自适应资源分配时,无法组建子载波最优分配准则,存在OFDM自适应资源分配均衡性差的问题.为此,提出一种基于比例公平的异常网络环境下OFDM自适应资源分配算法.上述算法先获取用户的信道状态信息,在此基础上利用自适应子载波分配算法给每个用户分配一组子载波,在满足全部用户传输速率及误码率要求的条件下,将异常网络环境下OFDM自适应资源分配问题转换为异常网络环境下的传输功率达到最小的问题,确定每个用户初始分配的子载波数以及未被分配的子载波数,利用人工鱼算法给出异常网络环境下的传输功率达到最小的适应度函数,依据全局搜索的方式组建异常网络环境下OFDM自适应资源分配最优策略,完成对异常网络环境下OFDM自适应资源分配.仿真证明,所提算法资源分配均衡性较高,充分地保障了无线网络的稳定运行.%This article proposes an algorithm for OFDM adaptive resource allocation under abnormal network envi ronment based on proportional fairness.Firstly,the author acquired channel state information of user and on that basis,used adaptive subcarrier allocation algorithm to allot a group of subcarrier to each user.Then,under the condition of satisfying requirement of transmission rate of all users and bit error rate,the problem of OFDM adaptive resource allocation was converted into the problem of minimum transmission power in abnormal network environment and number of subcarrier of initial allocation and number of unallocated subcarrier were confirmed.Moreover,the author used Artificial Fish-School Algorithm (AFSA) to provide fitness function with minimum transmission power under abnormal network environment and built optimal strategy of OFDM adaptive resource allocation.Experimental simulation shows that the algorithm has high balance of resource allocation and can ensure stable operation of wireless network adequately.