An energy minimization algorithm based on distributed dynamic clustering for long term evolution(LTE) heterogeneous networks

查看全文 作　　者：TONG [1,2]En;DING [1,2]Fei;PAN [1]ZhiWen;YOU Xiao [1]Hu

机构地区：[1]National Mobile Communications Research Laboratory, Southeast University;[2]Research and Development Center,China Mobile Group Jiangsu Co., Ltd.

出　　处：《Science China(Information Sciences)》索引2015年第58卷第4期,共12页

基　　金：partially supported by National Major Project (Grant No. 2013ZX03001032-004);National Hightech R&D Program of China (863 Program) (Grant No. 2014AA01A702);National Natural Science Foundation of China (Grant No. 61221002);Jiangsu Provincial Key Technology R&D Program (Grant No. BE2012165);Huawei Co., Ltd. 摘　　要：Energy saving has become an important issue in wireless communications from both environment and economic considerations. In this paper, an energy minimization algorithm based on distributed dynamic clustering(DDCEM) with lower complexity, higher performance, and better adaptability for heterogeneous network(Het Net) is proposed. A Het Net could be divided into several clusters, which is defined as one group of a network node and users served by the node. A energy efficient user association, which dynamically changes according to real-time energy efficiency(EE) evaluation with traffic load and location distribution of each cluster, can be employed to save consumed energy. Then, the optimal sleeping relay is found as follows. First,the sleeping probability cost of each relay station(RS) is computed and ranked based on the user traffic and the position distribution of each cluster, and the relay with minimum sleeping probability is selected to be switched off. Hence, the sleep node is selected taking into account the traffic load and location of the Evolved Node B(e NB) and all the RSs. The complexity of the algorithm is greatly reduced because the user association operation and network load evaluation are fulfilled cluster by cluster. Simulation results show that the proposed DDCEM strategy offers EE gain with low system complexity. 关键词：最小化算法异构网络动态聚类分布式能量演进 LTE 网络节点

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An energy minimization algorithm based on distributed dynamic clustering for long term evolution(LTE) heterogeneous networks

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