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基于微基站功率分配的异构蜂窝网络能效优化
引用本文:杨洁,郭丽红,陈瑞. 基于微基站功率分配的异构蜂窝网络能效优化[J]. 计算机应用, 2018, 38(12): 3514-3517. DOI: 10.11772/j.issn.1001-9081.2018051032
作者姓名:杨洁  郭丽红  陈瑞
作者单位:南京工程学院 通信工程学院, 南京 211167
基金项目:国家自科学基金资助项目(61701221);江苏省自然科学基金资助项目(BK20160781);江苏省高校自然科学基金资助项目(16KJB510013);南京工程学院校级基金资助项目(CKJB201704)。
摘    要:针对异构蜂窝网络中微基站密集部署带来能耗不断攀升的问题,对二层异构蜂窝网络能量效率进行了分析,提出一种通过调整微基站发射功率来最大化网络能量效率的方法。首先,利用齐次泊松点过程对异构蜂窝网络进行建模,推导出各层基站的覆盖率;其次,根据能量效率定义,分别推导出网络总功耗和总吞吐量,并给出能量效率的闭式表达式;最后,分析了微基站发射功率对网络能量效率的影响,提出一种能够最大化能量效率的微基站功率优化算法。仿真结果表明,微基站的发射功率对异构蜂窝网络能量效率有显著影响,通过优化微基站发射功率能有效提升异构蜂窝网络能量效率。

关 键 词:异构蜂窝网络  能量效率  基站  功率  覆盖率  
收稿时间:2018-05-18
修稿时间:2018-07-12

Energy efficiency optimization of heterogeneous cellular networks based on micro base station power allocation
YANG Jie,GUO Lihong,CHEN Rui. Energy efficiency optimization of heterogeneous cellular networks based on micro base station power allocation[J]. Journal of Computer Applications, 2018, 38(12): 3514-3517. DOI: 10.11772/j.issn.1001-9081.2018051032
Authors:YANG Jie  GUO Lihong  CHEN Rui
Affiliation:Department of Communication Engineerings, Nanjing Institute of Technology, Nanjing Jiangsu 211167, China
Abstract:Aiming at the problem of tremendous escalation of energy consumption caused by the dense deployment of micro base stations in heterogeneous cellular networks, the energy efficiency of two-tier heterogeneous cellular networks was analyzed and a new method for maximizing network energy efficiency by adjusting the micro base station transmit power was proposed. Firstly, the heterogeneous cellular network was modeled by using homogeneous Poisson point process, and the coverage probability of base stations at each tier was derived. Secondly, according to the definition of energy efficiency, the total power consumption and total throughput of network were derived respectively, and the closed-form expression of energy efficiency was given. Finally, the impact of the micro base station transmission power on the energy efficiency of network was analyzed, and a micro base station power optimization algorithm was proposed to maximize energy efficiency. The simulation results show that, the transmission power of micro base station has a significant impact on the energy efficiency of heterogeneous cellular network. Furthermore, the energy efficiency of heterogeneous cellular network can be effectively improved by optimizing the transmission power of micro base stations.
Keywords:Heterogeneous Cellular Network (HCN)   energy efficiency   base station   power   coverage probability
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