电信科学 ›› 2018, Vol. 34 ›› Issue (1): 43-51.doi: 10.11959/j.issn.1000-0801.2018027

• 研究与开发 • 上一篇    下一篇

面向蜂窝—D2D混合场景的双层博弈匹配算法

姚天,张晖   

  1. 南京邮电大学,江苏 南京 210003
  • 修回日期:2017-11-17 出版日期:2018-01-01 发布日期:2018-02-05
  • 作者简介:姚天(1995-),女,南京邮电大学硕士生,主要研究方向为5G资源配置。|高博
  • 基金资助:
    国家自然科学基金资助项目(61471203);江苏省“六大人才高峰”项目(RJFW-024);江苏省“青蓝工程”项目(2016);南京邮电大学“1311”人才计划基金资助项目(2015);通信与网络技术国家工程研究中心开放课题(TXKY17002);江苏省计算机信息处理技术重点实验室开放课题(KJS1518);国家科技重大专项基金资助项目(2012ZX03001008-003)

A bilevel game matching algorithm in cellular-D2D hybrid scenario

Tian YAO,Hui ZHANG   

  1. Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2017-11-17 Online:2018-01-01 Published:2018-02-05
  • Supported by:
    The National Natural Science Foundation of China(61471203);Six Talent Peaks Project of Jiangsu Province(RJFW-024);“Qing Lan Project” of Jiangsu Province(2016);“1311 Talent Program” of NJUPT(2015);Open Project of Jiangsu Provincial Key Laboratory for Computer Information Processing Technology(KJS1518);National Science & Technology Major Project(2012ZX03001008-003)

摘要:

随着无线技术的迅猛发展,无线接入网络进入新的阶段,即第五代(5G)移动通信系统阶段。多种技术场景并存的5G环境具有异构性和动态性的特点,对无线资源管理提出了严峻的挑战。如何实现网络资源与用户需求之间的最佳匹配变得尤为重要。因此,5G环境下无线资源匹配算法已成为当前研究热点。提出一种面向蜂窝—D2D 混合场景的双层博弈匹配算法,建立基于用户体验质量的公平性匹配模型,采用双层的匹配博弈理论加以求解,通过仿真验证所提算法的有效性,结果证明了所提算法的可行性。

关键词: 5G环境, 蜂窝场景, D2D场景, 资源匹配, 匹配博弈

Abstract:

With the rapid development of wireless technologies,wireless access networks enter the 5G system phase.5G environment with various technical scenarios is heterogeneous and dynamic,causing great challenges for wireless resource management.Hence,it is significant to achieve the optimal matching between network resources and user demands.Therefore,wireless resource matching algorithms in 5G environment have become one of the hottest research directions.A bilevel game matching algorithm in cellular-D2D hybrid scenario was proposed:a QoE based matching model considering user fairness was constructed,the bilevel matching game theory was used to solve this optimization problem,and the effectiveness of proposed algorithm was verified through simulations.

Key words: 5G environment, cellular scenario, D2D scenario, resource matching, matching game

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