面向蜂窝—D2D混合场景的双层博弈匹配算法

姚天; 张晖

doi:10.11959/j.issn.1000-0801.2018027

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面向蜂窝—D2D混合场景的双层博弈匹配算法

研究与开发 | 更新时间：2024-06-05

- 面向蜂窝—D2D混合场景的双层博弈匹配算法
- A bilevel game matching algorithm in cellular-D2D hybrid scenario
- 电信科学 2018年34卷第1期页码：43-51
- 作者机构：
- 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" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61471203);江苏省“六大人才高峰”项目;Six Talent Peaks Project of Jiangsu Province(RJFW-024);江苏省“青蓝工程”项目;“Qing Lan Project” of Jiangsu Province(2016);南京邮电大学“1311”人才计划基金资助项目;“1311 Talent Program” of NJUPT(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;Open Project of Jiangsu Provincial Key Laboratory for Computer Information Processing Technology(KJS1518);国家科技重大专项基金资助项目;National Science ＆ Technology Major Project(2012ZX03001008-003)
- DOI：10.11959/j.issn.1000-0801.2018027
  中图分类号： TN915
- 网络出版日期：2018-01，
  
  纸质出版日期：2018-01-20
- 稿件说明：
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姚天, 张晖. 面向蜂窝—D2D混合场景的双层博弈匹配算法[J]. 电信科学, 2018,34(1):43-51.

Tian YAO, Hui ZHANG. A bilevel game matching algorithm in cellular-D2D hybrid scenario[J]. Telecommunications science, 2018, 34(1): 43-51.
姚天, 张晖. 面向蜂窝—D2D混合场景的双层博弈匹配算法[J]. 电信科学, 2018,34(1):43-51. DOI： 10.11959/j.issn.1000-0801.2018027.

Tian YAO, Hui ZHANG. A bilevel game matching algorithm in cellular-D2D hybrid scenario[J]. Telecommunications science, 2018, 34(1): 43-51. DOI： 10.11959/j.issn.1000-0801.2018027.

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。

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.

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references

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