计算机应用 ›› 2018, Vol. 38 ›› Issue (10): 2965-2970.DOI: 10.11772/j.issn.1001-9081.2018030628

• 网络与通信 • 上一篇    下一篇

中继蜂窝网络能量效率分析

陈永红1,2, 郭莉莉1, 张士兵3   

  1. 1. 南通大学 杏林学院, 江苏 南通 226000;
    2. 南京邮电大学 通信与信息工程学院, 南京 210003;
    3. 南通大学 电子信息学院, 江苏 南通 226019
  • 收稿日期:2018-03-27 修回日期:2018-04-29 出版日期:2018-10-10 发布日期:2018-10-13
  • 通讯作者: 陈永红
  • 作者简介:陈永红(1981-),女,江苏铜山人,讲师,博士研究生,主要研究方向:信号处理、协作通信;郭莉莉(1986-),女,江苏邳州人,讲师,硕士,主要研究方向:现代通信;张士兵(1962-),男,江苏海门人,教授,博士,主要研究方向:无线通信、认知无线电。
  • 基金资助:
    国家自然科学基金资助项目(61701221);江苏省高校自然科学基金资助项目(16KJB510013,16KJB510038);江苏省研究生创新计划项目(KYLX16_0662),南通大学杏林学院自然科学基金资助项目(2016K116)。

Energy efficiency analysis of relay assisted cellular network

CHEN Yonghong1,2, GUO Lili1, ZHANG Shibing3   

  1. 1. Xinglin College, Nantong University, Nantong Jiangsu 226000, China;
    2. Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu 210003, China;
    3. School of Electronics and Information, Nantong University, Nantong Jiangsu 226019, China
  • Received:2018-03-27 Revised:2018-04-29 Online:2018-10-10 Published:2018-10-13
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61701221), the Natural Science Foundation of Jiangsu Higher Education Institutions (16KJB510013, 16KJB510038), the Research Innovation Project for College Graduates of Jiangsu Province (KYLX16_0662), the Natural Science Foundation of Nantong University Xinglin College (2016K116).

摘要: 针对宏基站采用单天线技术的中继蜂窝网络能量效率较低的问题,研究宏基站采用多天线技术的中继辅助蜂窝网络的下行传输系统,提出中继采用策略休眠方案。首先根据中继服务的用户数是否超过给定阈值,动态调整中继的工作模式;然后推导出宏基站到用户、宏基站到中继及中继到用户链路的覆盖概率和平均可达速率;最后根据单位面积功耗和单位面积可达速率推导出系统的能量效率。仿真结果表明,当宏基站密度为2×10-5m-2时,采用休眠策略的多天线网络的能量效率比没有采用休眠策略的网络的能量效率提高约为5.6%;宏基站采用多天线和采用单天线相比,系统能量效率提高了30%。实验结果表明,多天线中继策略休眠蜂窝网络比单天线中继辅助蜂窝网络具有更高的能量效率。

关键词: 能量效率, 覆盖概率, 策略休眠, 多天线, 平均可达率

Abstract: To solve the problem of low Energy Efficiency (EE) of relay assisted cellular networks where the Macro Base Station (MBS) was equipped with a single-antenna, the downlink transmission of multi-antenna relay-assisted cellular networks were considered, meanwhile, a strategic sleep scheme was proposed. Firstly, according to whether the number of users serviced by the relay exceeds a given threshold, the relay's working mode was dynamically adjusted. And then the coverage probabilities and mean achievable rates of MBS to user (UE), MBS to Relay Station (RS), RS to UE links were deduced. Finally, the energy efficiency of the system was derived based on the power consumption per unit area and the reachable rate per unit area. The simulation results show that when the density of MBS is 2×10-5m-2, the energy efficiency of the multi-antenna network with strategic sleep scheme is about 5.6% higher than that of the cellular network with non-sleeping strategy; the system energy efficiency of MBS equipped with multiple antennas is 30% high than without sleep strategy scheme with single antenna. Experimental results indicate that the multi-antenna relay-assisted cellular network with sleep strategy scheme has higher energy efficiency than the single-antenna relay-assisted cellular network.

Key words: energy efficiency, coverage probability, strategic sleep, multi-antenna, mean achievable rate

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