针对现有最优算法计算复杂度高、不利于实时应用的不足,根据误比特率和总功率限制条件下多用户OFDM系统自适应资源分配的数学优化模型,从最大化系统容量的目标出发,提出了一种计算复杂度低、易于实现.的子载波、比特及功率分配算法.理论分析和仿真结果表明,在时变无线信道中采用此算法的性能明显优于k提出的算法和静态资源分配算法(OFDM-TDMA),且计算复杂度低.
Optimal adaptive resource allocation algorithms are computationally complex and time consuming, which is unfavorable for rcal-time application. To overcome this shortcoming, a rate-maximization-based low complexity adaptive resource allocation is proposed for multiuser OFDM systems, which maximizes the overall data rate under the constraint of total transmit power and BER performance. Simulation results show that the algorithm has better performance in terms of fairness and computational complexity comparing with original algorithm.