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作 者:卢明松 LU Mingsong(Zhongjian Hongtai Communication Engineering Co.,Ltd.,Guilin 541199,China)
机构地区:[1]中建泓泰通信工程有限公司,广西桂林541199
出 处:《通信电源技术》2023年第4期228-231,共4页Telecom Power Technology
摘 要:在通信过程中,为了提高有限资源的传输效率,需要对节点资源的分配方案和传输调度方案进行优化。研究优化节点资源的方法,采用分层调度算法,在数据层面上管理网络节点,合理分配资源。为解决频谱资源较为紧张的问题,分析了认知无线传输调度方案,采用拉格朗日乘数法求解马尔可夫决策过程,使传输网络的丢包率符合要求,同时使设备的功耗最小。通过仿真实验表明,分层调度算法能够使输出端口在优先级分布不均的条件下,确保数据的转发率维持在较高的水平。优化后的认知无线传输调度方案能在规定的传输要求下最大限度地降低平均功耗。In the communication process,in order to improve the transmission efficiency of limited resources,it is necessary to optimize the allocation scheme and transmission scheduling scheme of node resources.The method of optimizing node resources is studied,and hierarchical scheduling algorithm is adopted to manage network nodes on the data level and allocate resources reasonably.In order to solve the problem of tight spectrum resources,the cognitive wireless transmission scheduling scheme is analyzed,and the Markov decision processes is solved by Lagrange multiplier method,so that the packet drop rate of the transmission network meets the requirements and the power consumption of the equipment is minimized.The simulation results show that the hierarchical scheduling algorithm can ensure that the data forwarding rate is maintained at a high level under the condition of uneven priority distribution of output ports.The optimized cognitive wireless transmission scheduling scheme can minimize the average power consumption under the specified transmission requirements.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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