首页    期刊浏览 2024年12月03日 星期二
登录注册

文章基本信息

  • 标题:Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach
  • 本地全文:下载
  • 作者:MHD Nour Hindia ; Faizan Qamar ; Talib Abbas
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2019
  • 卷号:15
  • 期号:7
  • 页码:1
  • DOI:10.1177/1550147719855879
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In order to resolve the issue of coverage limitation for the future fifth-generation network, deploying a relay node within a cell is one of the most capable and cost-effective solution, which not only enhances the coverage but also improves the spectral efficiency. However, this solution leads to the undesired interferences from nearby base station and relay nodes that affects user’s signal-to-interference-plus-noise ratio and can cause the ambiguous received signal at the user end. In this article, we have analyzed a relay-based interference-limited network at millimeter wave frequency and proposed a Poisson point process–based model using a stochastic geometrical approach. The results for the proposed Poisson point process model have been evaluated in terms of success probability, network ergodic capacity, and outage probability, compared with the ideal grid model and conventional multiple-antenna ultra-dense network model. The results proved that the success probability and ergodic capacity for the proposed model are 3.5% and 2.3% higher as compared to the most commonly used model for the high-density network, respectively. Furthermore, the results have been analyzed at different multiple-input-multiple-output antenna configuration, which validates the model in the improvement of overall network performance even for higher number of antennas.
  • 关键词:Stochastic geometry; multi-hop communication; Poisson point process; full-duplex; success probability
  • 其他关键词:Stochastic geometry ; multi-hop communication ; Poisson point process ; full-duplex ; success probability
国家哲学社会科学文献中心版权所有