Abstract: Aiming at the problem of ensuring terminal communication in the scenarios of strong interference and high failure risk in the power wireless private network, a security-risk-oriented energy-efficient distributed resource allocation method was proposed. Firstly, the energy consumption compositions of the base stations were analyzed, and the resource allocation model of system energy efficiency maximization was established. Then, K-means++ algorithm was adopted to cluster the base stations in the network, so as to divide the whole network into several independent areas, and the high-risk base stations were separately processed in each cluster. Then, in each cluster, the high-risk base stations were turned into the sleep mode based on the risk values of the base stations, and the users under the high-risk base stations were transferred to other base stations in the same cluster. Finally, the transmission powers of normal base stations in clusters were optimized. Theoretical analysis and simulation experimental results show that, the clustering of base stations greatly reduces the complexity of base station sleeping as well as power optimization and allocation, and the overall network energy efficiency is increased from 0.158 9 Mb/J to 0.195 4 Mb/J after turning off the high-risk base stations. The proposed distributed resource allocation method can effectively improve the energy efficiency of system.

Key words: power wireless private network, high-risk scenario, energy-efficient, distribution, resource allocation

摘要： 针对电力无线专网中强干扰、高故障风险等场景下保障终端通信的问题，提出了一种面向安全风险的高能效分布式资源分配方法。首先，分析基站的能耗组成，建立系统能效最大化的资源分配模型；然后，采用K-means++算法对网络中的基站进行分簇，从而将整个网络划分成多个独立区域，并在各个簇内单独处理高风险基站；其次，在每个簇内，基于基站的风险值对高风险基站进行休眠，并把高风险基站下的用户转移连接到同一簇内的其他基站；最后，在各个簇内进一步优化正常工作基站的传输功率。理论分析和仿真实验结果表明，基站分簇操作大幅降低了基站休眠和功率优化分配的复杂度，并且在关闭了高风险基站之后，整体网络的能效从0.158 9 Mb/J提升至0.195 4 Mb/J。所提的分布式资源分配方法能够有效提高系统的能量效率。

关键词: 电力无线专网, 高风险场景, 高能效, 分布式, 资源分配