摘要
对分布式通信系统的频谱资源进行分配,能提高资源分配的能效,提升无线通信系统的性能。对通信系统频谱资源的有效分配,需要先缩小通信信道资源的动态性,建立频谱资源联合的分配组合模型,完成对分布式无线通信系统频谱资源的有效分配。传统方法获取信道状态间条件概率的密度函数,求取输出干扰与噪声模型条件容量解,但忽略了对频谱资源的分配组合,导致资源的分配精度偏低。提出基于遗传的粒子群频谱资源的有效分配算法。将遗传算法与粒子群算法进行结合的方式,对分布式无线通信系统频谱资源进行有效分配,考虑信道的条件与容量的需求之间的差异性,缩小信道的动态性,建立频谱资源联合的分配组合模型,完成对分布式无线通信系统频谱资源有效分配的研究。实验结果表明,所提的算法降低了计算的复杂度,提高了能量的利用效率。
Traditional distribution methods ignore the allocation and combination of spectrum resources, which results in low accuracy of resource allocation. An efficient allocation algorithm for particle swarm spectrum resources based on genetics was proposed. Firstly, the genetic algorithm and particle swarm algorithm were combined to allocate spectrum resources in distributed wireless communication system effectively. By considering the difference between channel conditions and capacity requirement, the dynamic nature of channel was reduced, and then the combined model of spectrum resources was established. Thus, we completed the effective allocation of spectrum resources in distributed wireless communication system. Simulation results prove that the proposed algorithm reduces the complexity of calculation and improves the utilization efficiency of energy.
作者
高男
周金和
GAO Nan;ZHOU Jin- he(School of Information and Communication Engineering, Beijing Information Science & Technology University Beijing 100101, China)
出处
《计算机仿真》
北大核心
2018年第6期180-183,197,共5页
Computer Simulation
关键词
分布式
通信系统
频谱资源
有效分配
Distributed
Communication system
Spectrum resources
Effective distribution