基于自私行为分析的超密集D2D中继选择算法

王义君; 张有旭; 刘大鹍; 陈桂芬

doi:10.11959/j.issn.1000-436x.2021103

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基于自私行为分析的超密集D2D中继选择算法

专题：面向未来移动网络的大规模组网关键技术 | 更新时间：2024-06-05

- 基于自私行为分析的超密集D2D中继选择算法
- Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D
- 通信学报 2021年42卷第4期页码：119-126
- 作者机构：
  
  1. 长春理工大学电子信息工程学院，吉林长春 130022
  2. 中国北方车辆研究所网络与信息中心，北京 100072
- 作者简介：
  
  [ "王义君（1984- ），男，内蒙古通辽人，博士，长春理工大学副教授，主要研究方向为5G/6G移动通信、物联网及无线传感器网络等。" ]
  [ "张有旭（1994- ），男，吉林长春人，长春理工大学硕士生，主要研究方向为无线通信与微波技术。" ]
  [ "刘大鹍（1978- ），男，山西朔州人，长春理工大学博士生，主要研究方向为无线自组织网络。" ]
  [ "陈桂芬（1964- ），女，吉林九台人，博士，长春理工大学教授、博士生导师，主要研究方向为无线通信及光通信。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61540022);吉林省发改委产业技术研究与开发基金资助项目(2019C036-7)
- DOI：10.11959/j.issn.1000-436x.2021103
  中图分类号： TN926+.2
- 网络出版日期：2021-04，
  
  纸质出版日期：2021-04-25
- 稿件说明：
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王义君, 张有旭, 刘大鹍, 等. 基于自私行为分析的超密集D2D中继选择算法[J]. 通信学报, 2021,42(4):119-126.

Yijun WANG, Youxu ZHANG, Dakun LIU, et al. Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D[J]. Journal on communications, 2021, 42(4): 119-126.
王义君, 张有旭, 刘大鹍, 等. 基于自私行为分析的超密集D2D中继选择算法[J]. 通信学报, 2021,42(4):119-126. DOI： 10.11959/j.issn.1000-436x.2021103.

Yijun WANG, Youxu ZHANG, Dakun LIU, et al. Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D[J]. Journal on communications, 2021, 42(4): 119-126. DOI： 10.11959/j.issn.1000-436x.2021103.

摘要

在超密集 D2D 通信中，目前的中继选择方案主要假定中继设备具有主动意愿参与数据转发，但部分理性中继设备出于自身考虑，可能会存在时延或拒绝转发的自私行为，进而影响用户体验效果。从中继设备自私行为角度出发，提出了D2D通信中自私中继设备识别方法，进而提出了基于自私行为分析的超密集D2D中继选择算法。首先，定义了联合兴趣度、转发历史比率和中继物理状态3个中继识别属性因子，并通过三角模糊函数计算三者的权重，从而对具有自私行为的中继设备完成识别。其次，基于理想解相似性偏好排序方法实现了中继设备的最终选择方案。仿真结果表明，所提算法能更有效地识别 D2D 通信中的自私中继设备，与其他中继选择算法相比，在D2D通信转发成功率、系统平均吞吐量和平均时延等方面均取得了显著进步。

Abstract

In ultra-dense D2D communication

the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding

but some rational relay devices may delay or refuse to forward due to their own considerations

thus affecting the user experience.From the perspective of selfish behavior of relay devices

a method to identify selfish relay devices in D2D communication was proposed

and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly

three relay identification attribute factors

namely joint interest degree (JID)

forwarding history ratio (FHR) and relay physical state (RPS) were defined

and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly

based on the TOPSIS (technique for order of preference by similarity to ideal solution) method

the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms

the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate

system average throughput and average time delay.

关键词

Keywords

references

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