Cache Aided Decode-and-Forward Relaying Networks: From the Spatial View

Author:

Xia Junjuan1,Zhou Fasheng2ORCID,Lai Xiazhi1ORCID,Zhang Haochuan3,Chen Hongbin4ORCID,Yang Qinghai5,Liu Xin6,Zhao Junhui7

Affiliation:

1. School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China

2. School of Physics and Electronic Engineering, Guangzhou University, Guangzhou, China

3. Guangdong University of Technology, Guangdong, China

4. Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology, Guilin, China

5. State Key Laboratory on ISN, School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

6. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

7. School of Information Engineering, East China Jiaotong University, Nanchang, China

Abstract

We investigate cache technique from the spatial view and study its impact on the relaying networks. In particular, we consider a dual-hop relaying network, where decode-and-forward (DF) relays can assist the data transmission from the source to the destination. In addition to the traditional dual-hop relaying, we also consider the cache from the spatial view, where the source can prestore the data among the memories of the nodes around the destination. For the DF relaying networks without and with cache, we study the system performance by deriving the analytical expressions of outage probability and symbol error rate (SER). We also derive the asymptotic outage probability and SER in the high regime of transmit power, from which we find the system diversity order can be rapidly increased by using cache and the system performance can be significantly improved. Simulation and numerical results are demonstrated to verify the proposed studies and find that the system power resources can be efficiently saved by using cache technique.

Funder

Guangdong Province University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 39 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3