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  • 标题:Optimal Threshold of LTE-Femtocell Network Based Bayes-Nash Equilibrium Theory
  • 本地全文:下载
  • 作者:Hao Chen ; Kan Liu ; Wu Tunhua
  • 期刊名称:International Journal of Future Generation Communication and Networking
  • 印刷版ISSN:2233-7857
  • 出版年度:2015
  • 卷号:8
  • 期号:6
  • 页码:169-176
  • DOI:10.14257/ijfgcn.2015.8.6.17
  • 出版社:SERSC
  • 摘要:To increase LTE (long time evolution) networks spectrum utilization and interference mitigation, a LTE system overlaid with femtocells is studied. This paper will focus a self-optimized power control scheme for LTE-femtocell networks, in which the transmitted power of a femtocell base station is adjusted based on the optimal SINR threshold. It is known that game theory is a useful tool for analyzing outage probabilities and optimal power in wpszireless networks. In this paper, Bayes-Nash equilibrium theory is used to derive a optimal SINR (signal-interference-noise-ratio) threshold from each femtocell. The power control scheme can be applied to realistic LTE-femtocell networks to enable robust communication against cross-tier interference thereby obtaining a substantial link quality.
  • 关键词:LTE-femtocell; game theory; Bayes-Nash equilibrium
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