臺灣大學: 電信工程學研究所林宗男李中超Li, Zhong-ChaoZhong-ChaoLi2013-03-272018-07-052013-03-272018-07-052012http://ntur.lib.ntu.edu.tw//handle/246246/252641During the last decade, there has been tremendous growth in cellular networks market. The number of subscribers and the demand for cellular traffic has escalated astronomically. Such unprecedented growth in cellular industry has pushed the limits of energy consumption in wireless networks. Furthermore, base stations (BSs) consume more than 50 percent of the power of a cellular network. Thus, reducing the power consumption of BSs is crucial to green cellular networks. In LTE-Advanced cellular networks, a BS may transmit signal on multiple component carriers (CCs) with different power. In this work, we consider the problem that finding a nearly optimal CC selection pattern for all BSs which could satisfy all of the QoS constraints of UEs with minimum power consumption of BSs. We will show that it could be formulated as a mixed integer nonlinear programming (MINLP) optimization problem which is always hard to solve. Combining the concepts of interior point method and particle swarm optimization, we propose a novel method for solving our problem. Simulation results show that the solution solved by proposed method is not only nearly optimal but consumes less power than the compared method.140 bytestext/htmlen-US先進長期演進技術載波聚合功率控制資源分配粒子群最佳化LTE-Advancedcarrier aggregationpower controlresource allocationparticle swarm optimization[SDGs]SDG7thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/252641/1/index.html