应用科学学报 ›› 2023, Vol. 41 ›› Issue (6): 958-966.doi: 10.3969/j.issn.0255-8297.2023.06.004

• 通信工程 • 上一篇    下一篇

基于K-means与Gale-Shapley算法的D2D干扰管理方案

陈发堂, 陈永钛, 陈峰, 王丹   

  1. 重庆邮电大学 通信与信息工程学院, 重庆 400065
  • 收稿日期:2022-03-23 出版日期:2023-11-30 发布日期:2023-11-30
  • 通信作者: 陈发堂,研究员,研究方向为移动通信协议标准研究与实现。E-mail:chenft@cqupt.edu.cn E-mail:chenft@cqupt.edu.cn
  • 基金资助:
    重庆市自然科学基金面上项目(No.cstc2021jcyj-msxmX0454)资助

D2D Interference Management Scheme Based on K-means and Gale-Shapley Algorithm

CHEN Fatang, CHEN Yongtai, CHEN Feng, WANG Dan   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
  • Received:2022-03-23 Online:2023-11-30 Published:2023-11-30

摘要: 针对设备到设备(device to device,D2D)直连技术复用蜂窝网络资源导致用户间干扰的问题,提出了一种基于K-means与Gale-Shapley稳定匹配算法的D2D通信干扰管理资源分配方案。通过分析信号与干扰加噪声比公式,采用K-means聚类算法进行用户分组,降低用户间干扰,实现多对一资源复用;为提高通信系统容量且保证用户的公平性,采用Gale-Shapley稳定匹配算法在用户分组基础上实现信道资源共享。仿真结果表明,与基于贪婪的图着色资源分配算法相比,本文算法在保证系统容量基本稳定的情况下,系统干扰降低了10%~30%。

关键词: 设备到设备, 资源分配, 干扰管理, Gale-Shapley算法, 用户分组

Abstract: In this paper, we propose a resource allocation scheme for managing interference in device to device (D2D) communication, aiming to address the issue of inter-user interference caused by the multiplexing of cellular network resources. The proposed scheme is based on K-means and Gale-Shapley stable matching algorithm. By analyzing the signal to interference plus noise ratio (SINR) formula, K-means clustering algorithm is used to group users, reduce the interference between users, and achieve multiple to one resource reuse. To improve communication system capacity and ensure fairness among users, GaleShapley stable matching algorithm is used to realize channel resource sharing within the user groups. Simulation results show that the system interference is reduced by 10% to 30% compared to the greedy graphical coloring resource allocation algorithm, while maintaining stable system capacity.

Key words: device to device (D2D), resource allocation, interference management, GaleShapley algorithm, user grouping

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