一种基于多跳D2D和社交感知的新颖中继选择算法

李良; 杨新杰

doi:10.11959/j.issn.1000-0801.2022235

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一种基于多跳D2D和社交感知的新颖中继选择算法

研究与开发 | 更新时间：2024-06-05

- 一种基于多跳D2D和社交感知的新颖中继选择算法
- A multi-hop D2D and social awareness based novel relay selection algorithm
- 电信科学 2022年38卷第8期页码：101-110
- 作者机构：
- 作者简介：
  
  [ "李良（1997- ），男，宁波大学硕士生，主要研究方向为D2D通信技术" ]
  [ "杨新杰（1971- ），男，宁波大学信息科学与工程学院教授、硕士生导师，主要研究方向为下一代移动通信系统架构、移动物联网接入技术、协作中继网络性能等" ]
- 基金信息：
  
  网络与交换技术全国重点实验室（北京邮电大学）开放课题资助项目;Open Foundation of State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications)(SKLNST-2021-1-12);宁波市自然科学基金资助项目;The Ningbo Municipal Natural Science Foundation(2019A610073)
- DOI：10.11959/j.issn.1000-0801.2022235
  中图分类号： TP393
- 网络出版日期：2022-08，
  
  纸质出版日期：2022-08-20
- 稿件说明：
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李良, 杨新杰. 一种基于多跳D2D和社交感知的新颖中继选择算法[J]. 电信科学, 2022,38(8):101-110.

Liang LI, Xinjie YANG. A multi-hop D2D and social awareness based novel relay selection algorithm[J]. Telecommunications science, 2022, 38(8): 101-110.
李良, 杨新杰. 一种基于多跳D2D和社交感知的新颖中继选择算法[J]. 电信科学, 2022,38(8):101-110. DOI： 10.11959/j.issn.1000-0801.2022235.

Liang LI, Xinjie YANG. A multi-hop D2D and social awareness based novel relay selection algorithm[J]. Telecommunications science, 2022, 38(8): 101-110. DOI： 10.11959/j.issn.1000-0801.2022235.

摘要

摘要：将社交域引入蜂窝网络场景中的多跳设备到设备（device-to-device，D2D）通信中，并提出了一种用于蜂窝网络下多跳D2D通信的新颖中继选择算法。不同于以往的中继选择算法，所提出的算法以反向顺序选择每一跳的中继，减少了算法执行所产生的信令开销。在算法中引入了社交域信息，研究了社交域信息在多跳D2D通信中的作用。研究结果表明，终端用户之间的社交关系对算法性能具有不可忽略的影响，从而为实际系统的算法实现提供了一定的指导意义。另外，通过大量的蒙特卡洛仿真得到的结果表明，所提算法在不考虑社交关系信息时吞吐量和能量效率均优于对比算法，在考虑社交关系信息时，尽管其吞吐量会自然降低，但其能量效率远远优于对比算法。

Abstract

The social domain was introduced to multi-hop D2D (device-to-device) communication in cellular network scenarios

and a novel relay selection algorithm for multi-hop D2D communication under cellular network was proposed.Unlike existing relay selection algorithms

the proposed algorithm selects relays for each hop in reverse order

which reduces the signaling overhead caused by algorithm implement.Then

social domain information of mobile terminals was introduced to the algorithm and its influence on the algorithm’s performance was studied

which was found significant enough not to be overlooked hence providing useful guidance to designing algorithms in practical systems.Moreover

via extensive Monte Carlo simulations

it is discovered that the proposed algorithm outperforms the benchmarks in terms of data throughput and energy efficiency in absence of social relationship information.In a more practical implementation with social relationship information included

the proposed algorithm though naturally achieving less throughput

significantly outperforms the benchmarks in energy efficiency.

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Keywords

references

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