期刊文献+

基于多点协作联合传输的超密集组网性能分析 被引量:4

Performance Analysis of Ultra-dense Networks Based on Coordinated Multiple-points Joint Transmission
下载PDF
导出
摘要 超密集组网的基站高密度特性会带来严重的小区间干扰,多点协作联合传输应用于超密集组网进行干扰管理是目前的研究热点,该文对多点协作联合传输时基站密度对网络性能的影响进行了分析。首先采用随机几何方法推导了3维空间基站与用户距离的概率密度函数,为选取距离用户最近的多个基站联合传输的协作机制提供了基础;然后结合有界双斜率路径损耗模型,进行用户下行链路的干扰建模,进一步推导出用户下行链路覆盖率和网络区域频谱效率的表达式,并分析了协作基站数、基站密度等参数对网络性能的影响。数值仿真表明:协作基站数为2时就可使下行链路覆盖率增加10%,且实现2到3倍的频谱效率的增益,当协作基站数为3时,费效比更优,同时可得到多点协作下的基站密度极限使区域频谱效率最高。该文工作可为下一代移动通信网络的基站部署提供理论支持。 The high-density characteristic of base stations in Ultra-Dense Networks (UDN) brings serious intercell interference. It is the current research hotspot that Coordinated Multiple-Points Joint Transmission (CoMP-JT) is applied to UDN for interference management. The impact of base station density on network performance with CoMP-JT is analyzed. Firstly, the probability density function of the distance between the base station and the user in 3D space is derived using the stochastic geometric method. It provides the cooperation mechanism’s basis for CoMP-JT that selecting the multiple base stations closest to the user to joint transmission. Then, the downlink interference model is carried out based on the bounded dual-slope path loss model, and the downlink coverage probability and network area spectrum efficiency are further derived. Thereafter, the impact of the parameters such as the number of cooperating base stations and the base station density on the performance of the system is investigated. Numerical simulations show that when the number of cooperative base stations is 2, the downlink coverage probability increases by 10%, and the network area spectral efficiency achieves a gain of 2 to 3 times. When the number of cooperating base stations is 3, the costeffectiveness ratio is better, and the density of base stations that maximizes the network area spectral efficiency under CoMP-JT can be obtained. This paper provides theoretical support for the deployment of base stations in next-generation mobile communication networks.
作者 曾孝平 余丰 简鑫 李诗琪 杜得荣 蒋欣 方伟 ZENG Xiaoping;YU Feng;JIAN Xin;LI Shiqi;DU Derong;JIANG Xin;FANG Wei(College of Communication Engineering, Chongqing University, Chongqing 400044, China;Beijing Aeronautical Science & Technology Research Institute, Beijing 102211, China)
出处 《电子与信息学报》 EI CSCD 北大核心 2019年第3期563-570,共8页 Journal of Electronics & Information Technology
基金 国家自然科学基金(61501065 61571069 61701054 61601067) 中央高校基本科研业务费(106112017CDJQJ168817) 重庆市基础科学与前沿技术研究专项(cstc2016jcyjA0021)~~
关键词 超密集组网 多点协作联合传输 基站密度 下行链路覆盖率 区域频谱效率 Ultra-dense networks Coordinated Multiple-Points Joint Transmission (CoMP-JT) Base station density Downlink coverage probability Network area spectral efficiency
  • 相关文献

参考文献2

二级参考文献17

  • 1Wyner A D. The wiretap channel [ J]. Bell Labs Technical Journal,1975,54(8) :1355-1387.
  • 2Shamai S,Zaidel B. Enhancing the cellular downlink capacity via co-processing at the transmitting end [ C ]//Proc of 53rd IEEE vehicular technology conference. [ s. 1. ] :IEEE, 2001: 1745-1749.
  • 3Somekh O, Zaidel B, Shamai S. Sum rate characterization of joint multiple cell-site processing[J]. IEEE Transactions on Information Theory ,2007,53 (12) :4473-4497.
  • 4Jing S, Tse D N C, Soriaga J B, et al. Multicell clownlink ca- pacity with coordinated processing[J].EURASIP Journal Wireless Communications and Networking, 2008, 2008: 586878.
  • 5Wyner A D. Shannon-theoretic approach to a Gaussian cellu- lar multiple-access channel[J]. IEEE Transactions on Infor- mation Theory, 1994 ,40( 11 ) : 1713-1727.
  • 6E1Sawy H, Hossain E, Haenggi M. Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cel- lular wireless networks: a survey [ J ]. IEEE Communications Surveys & Tutorials,2013,15(3) :996-1019.
  • 7Haenggi M, Andrews J, Baccelli F, et al. Stochastic geometry and random graphs for the analysis and design of wireless net- works [ J ]. IEEE Journal on Selected Areas in Communica- tions ,2009,27 (7) : 1029-1046.
  • 8Andrews J, Baccelli F, (;anti R. A tractable approach to cover- age and rate in cellular networks [ J ]. IEEE Transactions on Communications ,2011,59 ( 11 ) :3122-3134.
  • 9Novlan T D, Dhillon H S, Andrews J G. Analytical modeling of uplink cellular networks [ J ]. IEEE Transactions on Wireless Communications ,2013,12 (6) :2669-2679.
  • 10吕星哉,王振,朱近康.三角形蜂窝小区的遍历信息论容量分析[J].电子与信息学报,2008,30(4):801-804. 被引量:3

共引文献17

同被引文献31

引证文献4

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部