大连理工大学  登录  English 
金明录
点赞:

教授   博士生导师   硕士生导师

性别: 男

毕业院校: 北京航空航天大学

学位: 博士

所在单位: 信息与通信工程学院

学科: 通信与信息系统. 信号与信息处理. 电路与系统

办公地点: 创新园大厦A520

联系方式: Tel: 86-0411-84707719 实验室网址: http://wican.dlut.edu.cn

电子邮箱: mljin@dlut.edu.cn

手机版

访问量:

开通时间: ..

最后更新时间: ..

当前位置: 中文主页 >> 科学研究 >> 论文成果
Resource Allocation in Topology Management of Asymmetric Interference Networks

点击次数:

论文类型: 期刊论文

发表时间: 2018-03-01

发表刊物: IEEE SYSTEMS JOURNAL

收录刊物: SCIE、EI、Scopus

卷号: 12

期号: 1,SI

页面范围: 993-1003

ISSN号: 1932-8184

关键字: Antenna selection (AS); asymmetric network; geometric programming (GP); interference alignment (IA); power allocation (PA); topology management (TM)

摘要: Most existing works of interference alignment focus on symmetric networks. When the difference of path loss is considered in asymmetric networks, topology management needs to be carefully designed for interference-alignment-based interference networks. Using topology management, the network is separated into an interference alignment subnetwork and some spatial multiplexing subnetworks. In this paper, antenna selection and power allocation techniques are exploited to further improve the performance of topology management in asymmetric interference networks. First, the antenna selection technique is applied to interference alignment subnetworks. Through fully utilizing the redundant antennas, more optional antenna combinations can be provided to achieve the diversity gain. Then, based on the geometric programming framework, the transmitted power is allocated among transmitters of both the interference alignment and spatial multiplexing subnetworks, to optimize the spectrum efficiency of the network. Based on these two techniques for the topology management scheme, the joint optimization of antenna selection and power allocation is developed through a stepped resource allocation optimization strategy to further improve the performance with low computational complexity. Simulation results are presented to show the effectiveness of the proposed algorithms.

辽ICP备05001357号 地址:中国·辽宁省大连市甘井子区凌工路2号 邮编:116024
版权所有:大连理工大学