基于极大熵方法的反向散射通信资源分配算法  

Resource Allocation Algorithm for Backscatter Communication Based on Maximum Entropy Method

作　　者：刘瑞平 匡亮 孙善飞 LIU Ruiping;KUANG Liang;SUN Shanfei(Jinan Effort Technology Co.,Ltd.,Jinan 250100,China)

机构地区：[1]济南作为科技有限公司,山东济南250100

出　　处：《微型电脑应用》2024年第10期248-251,256,共5页Microcomputer Applications

摘　　要：针对因反向散射通信节点存在重叠、混乱分布情况,导致通信效率降低、资源分布不均匀问题,提出基于极大熵方法的反向散射通信资源分配算法。以资源累积奖励期望作为目标函数,利用极大熵方法求得资源节点在不同状态下的局部最优值,采用贝尔曼迭代逐次递归求解资源分配最大熵值参数。基于分配信息熵概念,根据信息熵与资源均匀性间的正比关系,将反向散射通信不同区域节点的信息熵值和时延变化参数作为约束条件。将反向散射系数、传输功率、反射端子载波数的实时状态输入约束函数,获取最优资源分配因子,按照分配因子对通信参数逐一调试直至满足最佳资源分配条件。实验结果证明,所提方法性能表现优异,应用后通信系统能效得到了明显改善,资源分配效果更优。Aimed at the problems of communication efficiency reduction and uneven resource distribution caused by overlapping and chaotic distribution of backscatter communication nodes,a resource allocation algorithm for backscatter communication based on maximum entropy method is proposed.Taking the cumulative reward expectation of resources as the objective func-tion,the local optimal values of resource nodes in different states are obtained by maximum entropy method,and the maximum entropy parameters of resource allocation are solved by Berman iteration and successive recursion.Based on the concept of dis-tribution information entropy,according to the proportional relationship between information entropy and resource uniformity,the information entropy values and time delay variation parameters of nodes in different areas of backscatter communication are taken as constraints.It inputs the real-time state of backscatter coefficient,transmission power and the number of reflection terminal carriers into the constraint function to obtain the optimal resource allocation factor,and debugs the communication pa-rameters one by one according to the allocation factor until the optimal resource allocation condition is met.The experimental results show that the performance of the proposed method is excellent,and the energy efficiency of the communication system has been obviously improved and the resource allocation effect is better after application.

关 键 词：极大熵方法 强化学习 信息熵 分配因子 反向散射通信 

分 类 号：TP258[自动化与计算机技术—检测技术与自动化装置]