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

一种面向 LTE 异构网络基于动态成簇的能量最小化算法

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Abstract

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 (HetNet) is proposed. A HetNet 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 (eNB) 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.

中文摘要

本文提出了一种面向异构网络中基于分布式动态成簇能量最小化 (DDCEM) 算法, 该算法通过 将异构网络划分为多个簇, 簇内的网络节点及其对应服务用户被定义为一组, 在每个簇内用户 服务选择时采用能量优先的接入评估方法, 休眠中继的选取同时考虑到了各中继簇和宏站簇的 业务分布和各自在网络中的位置, 仿真结果表明本文提出的 DDCEM 算法能提高系统能量效率 且系统算法复杂度低.

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Authors and Affiliations

  1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    En Tong, Fei Ding, ZhiWen Pan & XiaoHu You

  2. Research and Development Center, China Mobile Group Jiangsu Co., Ltd, Nanjing, 210029, China

    En Tong & Fei Ding

Authors
  1. En Tong
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  2. Fei Ding
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  3. ZhiWen Pan
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  4. XiaoHu You
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Correspondence to ZhiWen Pan.

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Tong, E., Ding, F., Pan, Z. et al. An energy minimization algorithm based on distributed dynamic clustering for long term evolution (LTE) heterogeneous networks. Sci. China Inf. Sci. 58, 1–12 (2015). https://doi.org/10.1007/s11432-014-5261-y

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  • DOI: https://doi.org/10.1007/s11432-014-5261-y

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