Cell selection algorithm in 5G superdense heterogeneous network with joint virtual beamforming

ZHANG Yang; SUN Chang-yin; LIU Yu; TANG Shi-yan; WEN Fang-yan

doi:10.13873/J.1000-9787(2016)01-0139-03

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Cell selection algorithm in 5G superdense heterogeneous network with joint virtual beamforming

更新时间：2025-09-11

- Cell selection algorithm in 5G superdense heterogeneous network with joint virtual beamforming
- Vol. 35, Issue 1, Pages: 139-141+145(2016)
- 作者机构：
  
  西安邮电大学
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)01-0139-03
  CLC： TN929.5
- Published：2016
- 稿件说明：
移动端阅览
[1]张洋,孙长印,刘毓,汤仕艳,文芳艳.5G超密异构网络中联合虚拟波束形成的小区选择算法[J].传感器与微系统,2016,35(01):139-141+145.

ZHANG Yang, SUN Chang-yin, LIU Yu, et al. Cell selection algorithm in 5G superdense heterogeneous network with joint virtual beamforming[J]. 2016, 35(1): 139-141+145.
[1]张洋,孙长印,刘毓,汤仕艳,文芳艳.5G超密异构网络中联合虚拟波束形成的小区选择算法[J].传感器与微系统,2016,35(01):139-141+145. DOI： 10.13873/J.1000-9787(2016)01-0139-03.

ZHANG Yang, SUN Chang-yin, LIU Yu, et al. Cell selection algorithm in 5G superdense heterogeneous network with joint virtual beamforming[J]. 2016, 35(1): 139-141+145. DOI： 10.13873/J.1000-9787(2016)01-0139-03.

摘要

随着移动通信技术的发展

移动用户设备呈爆炸性增长趋势

使异构网中小区密集

造成小区间严重干扰

严重影响系统吞吐量。基于5G超密异构网络结构

研究了以用户为中心

基于动态小区选择与联合优化

提出了联合虚拟波束形成的小区选择算法。仿真结果表明:该算法协调了小区间干扰和频谱效率的矛盾

提高了边缘用户的性能和小区的平均吞吐量。

Abstract

With the development of mobile communication technology

mobile user equipment show explosive growth trend

village populated in heterogeneous network

which causes serious interference between zones

and seriously affect system throughput. Therefore

based on 5G superdense heterogeneous network structure

study usercentric based on distributed virtual communities of dynamic selection and joint optimization of community

put forward joint area selection algorithm of virtual beamforming. Simulation results show that the algorithm coordinates conflict between interference between zones and spectrum efficiency

improve performance of edge users and average throughput of cell.

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Related Author

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Related Institution

Department of Electronic Engineering,Fudan University

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