中国邮电高校学报(英文) ›› 2020, Vol. 27 ›› Issue (5): 55-62.doi: 10.19682/j.cnki.1005-8885.2020.0026

所属专题: 人工智能专题

• Wireless • 上一篇    下一篇

Game-Based Distributed Noncooperation Interference Coordination Scheme in Ultra-Dense Networks

张永昌   

  1. 中国移动通信集团山东有限公司
  • 收稿日期:2020-03-09 修回日期:2020-04-11 出版日期:2020-10-22 发布日期:2020-10-23
  • 通讯作者: 张永昌 E-mail:zhangyongchang@sd.chinamobile.com
  • 基金资助:
    国家863计划;国家自然科学基金

Game-Based Distributed Noncooperation Interference Coordination Scheme in Ultra-Dense Networks

Zhang Yongchang   

  1. China Mobile Network Communications Group Shandong Co. , Ltd
  • Received:2020-03-09 Revised:2020-04-11 Online:2020-10-22 Published:2020-10-23
  • Supported by:
    National 863 Program;national natural science foundation project

摘要: Ultra-dense networks (UDNs) is a promising solution to meet the exponential increase in mobile data traffic. But the ultra-dense deployment of cells inevitably brings complicated inter-cell interference ( ICI) and existing interference coordination scheme cannot be directly applied. To minimize the aggregate interference of each small cells, this paper formulates the problem as a distributed noncooperation game-based interference coordination scheme in ultra-dense networks considering the real demand rate of each small cell user equipment (SUE) and proves it to be a potential game. An improved no-regret learning algorithm is introduced to coverage to the Nash equilibrium (NE) of the formulated game. Simulation results show that the proposed scheme has better performance compared with existing schemes.

关键词: ultra-dense networks, noncooperation game, interference coordination, demand rate

Abstract: Ultra-dense networks (UDNs) is a promising solution to meet the exponential increase in mobile data traffic. But the ultra-dense deployment of cells inevitably brings complicated inter-cell interference ( ICI) and existing interference coordination scheme cannot be directly applied. To minimize the aggregate interference of each small cells, this paper formulates the problem as a distributed noncooperation game-based interference coordination scheme in ultra-dense networks considering the real demand rate of each small cell user equipment (SUE) and proves it to be a potential game. An improved no-regret learning algorithm is introduced to coverage to the Nash equilibrium (NE) of the formulated game. Simulation results show that the proposed scheme has better performance compared with existing schemes.

Key words: ultra-dense networks, noncooperation game, interference coordination, demand rate

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