认知无线电NC-OFDM中基于案例推理的无线资源分配

Radio Resource Allocation Based on Case-Reasoning in NC-OFDM Systems for Cognitive Radio

为解决认知无线电NC-OFDM的无线资源分配算法计算复杂度偏高,不便于实际应用的这个问题,提出了一种能够降低计算复杂度的无线资源分配算法。该算法利用案例推理方法,求解认知无线电NC-OFDM系统的子载波分配和功率分配问题,利用粒子群优化方法,降低案例修订过程中的计算复杂度。仿真结果表明,随着案例库的丰富,提出的算法在保证频谱利用率的前提下明显缩短了收敛时间,有效降低了计算复杂度。

Currently,there are disadvantages of the high computational complexity and inconvenient practical application in radio resource allocation algorithms for the cognitive radio NC-OFDM system.In order to deal with these disadvantages,a radio resource allocation approach to reduce the computational complexity based on case reasoning was proposed in this paper.In the proposed algorithm,the case-based reasoning is used to solve the problems of subcarrier allocation and power allocation in the cognitive radio NC-OFDM system,while the particle swarm optimization method is utilized to reduce the computational complexity in the process of case revision.Simulation results show that,with the abundance of case library,the proposed algorithm not only reduces the convergence time on the premise of guaranteeing the spectral utilization,but effectively reduces the computational complexity as well.