无线通信网络链路资源分布式智能调度算法

Distributed Intelligent Scheduling Algorithm for Wireless Communication Network Link Resources

为高效调度无线通信网络内抗干扰链路资源,降低网络干扰,提高网络容量,本文提出了以考虑干扰环境为前提的分布式智能调度算法,并进行了仿真分析,结果表明,分布式智能调度算法可确保实时操作性,网络容量性能良好;迭代次数明显少于粒子群算法,且不受网络规模扩大影响;基于不同卷积核,分布式智能调度算法于不同感知范围内都可快速准确学习调度策略;基于不同网络规模,算法所获效果更佳;在具体无线通信网络环境下,相比其他算法,分布式智能调度算法更具优势。

In order to efficiently schedule the anti-interference link resources in wireless communication network, reduce network interference and improve network capacity, this paper proposes a distributed intelligent scheduling algorithm based on the premise of considering interference environment, and carries out simulation analysis. The results show that the distributed intelligent scheduling algorithm can ensure real-time operation and good network capacity performance;The number of iterations is obviously less than that of PSO, and it is not affected by the expansion of network scale;Based on different convolution cores, the distributed intelligent scheduling algorithm can learn the scheduling strategy quickly and accurately in different sensing ranges;Based on different network sizes, the algorithm achieves better results;In the specific wireless communication network environment, compared with other algorithms, distributed intelligent scheduling algorithm has more advantages.