A Device-to-Device Forwarding Algorithm Based on Relay in Cluster

MA Ke; WU Yang

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A Device-to-Device Forwarding Algorithm Based on Relay in Cluster

更新时间：2026-09-04

- A Device-to-Device Forwarding Algorithm Based on Relay in Cluster
- Vol. 34, Issue 1, Pages: 48-52(2017)
- 作者机构：
  
  1. 青海师范大学机构网络中心,青海,西宁,810008
  2. 国家数字交换系统工程技术中心,河南,郑州,450002
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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马克, 吴洋. 一种基于簇内中继转发的D2D协作通信算法[J]. 微电子学与计算机, 2017, 34(1): 48-52, 57.

MA Ke, WU Yang. A Device-to-Device Forwarding Algorithm Based on Relay in Cluster[J]. 2017, 34(1): 48-52.
马克, 吴洋. 一种基于簇内中继转发的D2D协作通信算法[J]. 微电子学与计算机, 2017, 34(1): 48-52, 57. DOI：

MA Ke, WU Yang. A Device-to-Device Forwarding Algorithm Based on Relay in Cluster[J]. 2017, 34(1): 48-52. DOI：

摘要

终端直通技术(Device-to-Device

D2D)能够提升蜂窝系统的通信容量

但未能充分考虑D2D链路的差异

限制了频谱资源的利用和数据传输速率.为此

提出了一种基于中继转发的D2D协作通信算法

在多播过程中基于簇内的数据包和邻居节点分布引入中继转发策略

从而为簇内用户链路质量较差的用户提供高速中继服务.经仿真试验和分析表明

该算法能够克服链路差异性导致的多播效率下降问题

从而提升D2D通信的传输速率

改善网络整体的通信性能.

Abstract

Device to device (D2D) communications help to improve the efficiency of data dissemination services in cellular networks

but the differences between D2D links are not considered fully

thus it limited spectrum resource utilization and the data transmission rate. In this paper

it proposed a device-to-device forwarding algorithm based on relay in cluster. By introducing relaying and forwarding during the multicast process

our method can provide the high-speed data services for the users with poor link quality. The simulation results and analysis show that our algorithm can effectively solve the problem of link difference which leads to the decrease of multicast efficiency

accelerate the data rate of D2D links

and improve the communication performance of the D2D network.

关键词

Keywords

references

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李方健. D2D通信系统中的最优中继选择及功率分配策略研究[J]. 重庆邮电大学学报, 2015, 26(5): 605-610. DOI: 605

王俊义, 巩志帅, 符杰林, 等. 基于多跳D2D转发的簇内数据共享方案[J]. 计算机科学, 2015, 42(8): 124-127. DOI: 124

文凯, 卢彦博, 刘敏, 等. D2D通信系统中一种资源分配算法的研究[J]. 南京邮电大学学报, 2015, 35(6): 31-38. DOI: 31

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