计算机科学 ›› 2022, Vol. 49 ›› Issue (6): 39-43.doi: 10.11896/jsjkx.211200143
胥昊1,2, 曹桂均2, 闫璐1,3, 李科2, 王振宏2
XU Hao1,2, CAO Gui-jun2, YAN Lu1,3, LI Ke2, WANG Zhen-hong2
摘要: 智能集装箱系统通过信息的实时采集和传输,提高了集装箱的运转效率。为了保证集装箱终端的超可靠低时延通信,文中提出以短包的形式传输信息,研究多小区铁路集装箱终端上行传输系统的和速率最大化问题,提出了一个频谱资源分配策略,多个小区间共用频谱资源,小区内的终端通过竞争获取频谱。首先,采用博弈论模型构建这种竞争关系,并证明了纳什均衡解的存在,其最好的纳什均衡解就是系统和速率最大化的全局最优解;然后,设计了一种分布式迭代算法,该算法只需要局部信息交互,并在理论上证明了当平滑系数足够小时,算法能以任意高的概率收敛到最好的纳什均衡点;最后,对所提算法进行了仿真验证。仿真结果表明,所提算法的收敛速度较快,且优于BRD算法和No-regret算法。
中图分类号:
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