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作 者:宋芳[1] 钱罕林[1] 何薇[1] SONG Fang;QIAN Han-lin;HE Wei(Xinjiang Institute of Light Industry Technology,Urumqi 830021 China)
机构地区:[1]新疆轻工职业技术学院,新疆乌鲁木齐830021
出 处:《自动化技术与应用》2022年第4期63-66,共4页Techniques of Automation and Applications
摘 要: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.
关 键 词:无线通信网络 抗干扰 链路资源 分布式 调度算法
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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