基于混合供能和能量协作的异构网络能量效率优化算法  

Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation

作　　者：曹阳 钟烨 彭醇陵 彭小峰 CAO Yang;ZHONG Ye;PENG Chunling;PENG Xiaofeng(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 400054,China)

机构地区：[1]重庆理工大学电气与电子工程学院,重庆400054

出　　处：《通信学报》2022年第3期135-147,共13页Journal on Communications

基　　金：重庆市科学技术局基金资助项目(No.cstc2019jcyj-msxmX0233,No.cstc2017shmsA40019);重庆市教育委员会基金资助项目(No.KJQN201901125);重庆市教委科学技术研究基金资助项目(No.KJQN201901103);重庆市高校创新研究群体基金资助项目(No.CXQT21035);巴南区科学技术局基金资助项目(No.2019TJ07);重庆理工大学科研启动基金资助项目(No.2019ZD127)。

摘　　要：为降低异构蜂窝网络的基站能耗和同频干扰,联合能量收集与能量协作提出一种以能量效率优化为目标的联合优化算法。首先,考虑用户服务质量约束、蜂窝基站功率约束以及可再生能源收集约束,构建联合资源分配的混合整数非线性规划问题。其次,考虑到该问题是一个NP-难问题,难以直接求解,结合固定变量法将复杂原问题分解成单独求解用户关联、功率分配、能量协作3个子问题,分别利用拉格朗日对偶法、粒子群优化算法和匹配理论求解这3个子问题。最后,通过收敛迭代算法,联合以上3种算法求得原问题的最终解。仿真结果表明,所提算法相较于对比算法在收敛性和能量效率上均有改善。To reduce the base station energy consumption and co-channel interference in heterogeneous cellular networks,a joint optimization algorithm combined with energy harvesting and energy cooperation was proposed with the objective of energy efficiency optimization.First,a mixed-integer nonlinear programming problem for joint resource allocation was constructed considering the constraints of user service quality,the constraints of cellular base station power,and the constraints of renewable energy harvesting.Second,considering that the problem was an NP-hard problem which was difficult to solve directly,the complex original problem was decomposed into three subproblems,such as user association,power allocation,and energy cooperation,with the fixed-variable method,which were solved by using the Lagrangian pairwise method,particle swarm optimization algorithm,and matching theory,respectively.Finally,the final solution of the original problem was obtained by combining the above three algorithms through convergent iterative algorithms.The simulation results show that the proposed algorithm has improved convergence and system energy efficiency compared with the comparison algorithm.

关 键 词：异构网络 能量效率 拉格朗日对偶 匹配理论 粒子群优化算法 

分 类 号：TN929.5[电子电信—通信与信息系统]