基于人工智能优化理论的无线电频谱分配

Spectrum Allocation of Radio by Using Improved Based on Artificial Intelligence Optimization Theory

为了提高无线电频谱的利用率,提出一种改进蚁群算法的无线电频谱分配方法.以系统带宽收益最大化为目标优化函数,引入自适应搜索窗口限制蚁群算法的活动范围,并对局部信息素和全局信息素进行改进,加快了最优解的搜索速度,降低了陷入局部最优解的概率.仿真测试结果表明,改进后的算法能够快速找到无线电系统频谱分配的最优方案,系统效益优于对比算法.

In order to improve the utilization rate of radio spectrum, a radio spectrum allocation method based on artificial intelligence optimization theory is proposed. Maximize the system bandwidth revenue structure is taken as the objective function, and adaptive search window is introduced to limit the active range of ant colony algorithm, and local pheromone and global pheromone are improved, search speed of the optimal solution is accelerated, and probability of falling into the local optimal solution is reduced. The simulation results show that the improved algorithm can find the optimal scheme of spectrum allocation in wireless system, and system efficiency is better than the contrast algorithm.