Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D

Yijun WANG; Youxu ZHANG; Dakun LIU; Guifen CHEN

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

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Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D

Topics: Strategic Technologies to Massive Connecting for the Future Mobile Networks | 更新时间：2024-06-05

- Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D
- Journal on Communications Vol. 42, Issue 4, Pages: 119-126(2021)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61540022);Industrial Technology Research and Devel-opment Project of Jilin Development and Reform Commission(2019C036-7)
- DOI：10.11959/j.issn.1000-436x.2021103
  CLC： TN926+.2
- Online First：2021-04，
  
  Published：25 April 2021
- 稿件说明：
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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：

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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