基于混沌搜索的蜂窝网基站能量效率与服务质量的联合优化  

Joint optimization of energy efficiency and QoS of cellular base station based on caotic search

作　　者：刘宁庆[1] 韩雪[1,2] 张文彬[1] 

机构地区：[1]哈尔滨工业大学电子与信息工程学院,哈尔滨150001 [2]哈尔滨电工仪表研究所国际标准工作站,哈尔滨150028

出　　处：《吉林大学学报（工学版）》2016年第5期1660-1666,共7页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(61301100)

摘　　要：针对蜂窝网络中基站能量效率和用户服务质量的联合优化问题,结合实际的蜂窝网络中基站与用户终端选择连接的原则,建立了反映基站能量效率和用户终端服务质量的数学模型。采用基于幂函数载波技术的混沌搜索算法对优化问题进行求解,并证明了算法的收敛性。仿真结果验证了模型的有效性及设计算法的可行性。To solve the joint optimization problem of energy efficiency and customer service quality of the base station in a cellular network,considering the actual connection principle between base station and the user terminal of cellular network,a mathematical model is established that reflects the base station energy efficiency and user terminal service.The chaotic search algorithm based on power function carrier technology is applied to solve the optimization problem.The convergence of the algorithm is proved.Simulation results validate the model and the feasibility of the algorithm.

关 键 词：通信技术 蜂窝网络优化模型 混沌搜索算法 能量效率 

分 类 号：TN929[电子电信—通信与信息系统]