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基于最佳候选的蜂窝网络低能耗基站部署算法
引用本文:朱 明,李跃新.基于最佳候选的蜂窝网络低能耗基站部署算法[J].计算机测量与控制,2018,26(4):231-234.
作者姓名:朱 明  李跃新
作者单位:湖北大学 计算机与信息工程学院,湖北大学 计算机与信息工程学院
基金项目:湖北省重大科技支持项目(NO.2014BAA089)
摘    要:无线异构蜂窝网络中微基站的过度增加会导致能量效率的降低。针对基站部署中的绿色通信问题,提出了一种基于最佳候选的低能耗基站部署算法。首先,设计了最佳候选点选择策略来选择一组基站候选点集合,然后再利用贪婪算法选择可以使得网络能量效率达到最大值的微基站,该方法限制了用户分布对基站部署的影响。仿真实验结果表明,在多种负载情况下,提出方法在满足网络容量的同时不仅增加了能量效率还增加了网络总流量,中负载能量效率提高了36%。

关 键 词:蜂窝网络  基站部署  能量效率  最佳候选
收稿时间:2018/1/26 0:00:00
修稿时间:2018/2/2 0:00:00

Low energy base station deployment algorithm for cellular networks based on the best candidate
Affiliation:School of Computer Science Information Engineering,Hubei University,Wuhan Hubei 430062,China
Abstract:Excessive increase of micro base stations in wireless heterogeneous cellular networks will lead to the reduction of energy efficiency. Therefore, aiming at the problem of green communication in the base station deployment, a low energy base station deployment algorithm based on the best candidate is proposed. First of all, design the best candidate selection strategy to select a set of candidate set base station, and then use the greedy algorithm to select the network energy efficiency can reach the maximum value of the micro base station, the method of limiting the influence of user distribution on the base station deployment. The simulation results show that the proposed method can not only increase the energy efficiency but also increase the total network traffic, and the energy efficiency is increased by 36% when the network capacity is met.
Keywords:Cellular network  base station deployment  energy efficiency  the best candidate  
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