Building blocks of physical-layer network coding

Jianghao He, S. Liew
{"title":"Building blocks of physical-layer network coding","authors":"Jianghao He, S. Liew","doi":"10.1109/SAHCN.2013.6645013","DOIUrl":null,"url":null,"abstract":"This paper investigates the fundamental building blocks of physical-layer network coding (PNC). Since its conception, PNC has developed into a subfield of network coding investigated by many. Most of the prior work, however, focused on the simplest communication setup in which PNC could be applied, namely the two-way-relay channel (TWRC). Studies of the application of PNC in general networks are relatively few. This paper is an attempt to fill this gap. To do so, we put forth two ideas: 1) For the purpose of scheduling transmissions, a general network can be decomposed into small building blocks of PNC, referred to as the PNC atoms. 2) TWRC is only one of many possible PNC atoms - besides TWRC, we identify eight other PNC atoms. We present formal definitions for the nine PNC atoms. We then formulate the PNC scheduling problem as a linear program based on the decomposition principle stated in 1) above. Two major results of our simulation experiments are as follows. First, under the decomposition framework, the throughput performance of PNC is significantly better than those of the traditional multi-hop scheme and the non-physical-layer network coding scheme - e.g., under heavy traffic volume, PNC can achieve 100% throughput gain relative to the traditional multi-hop scheme. Second, PNC decomposition based on a variety of different PNC atoms yield much better performance than PNC decomposition based on the TWRC atom alone.","PeriodicalId":206294,"journal":{"name":"2013 IEEE International Conference on Sensing, Communications and Networking (SECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Sensing, Communications and Networking (SECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAHCN.2013.6645013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

This paper investigates the fundamental building blocks of physical-layer network coding (PNC). Since its conception, PNC has developed into a subfield of network coding investigated by many. Most of the prior work, however, focused on the simplest communication setup in which PNC could be applied, namely the two-way-relay channel (TWRC). Studies of the application of PNC in general networks are relatively few. This paper is an attempt to fill this gap. To do so, we put forth two ideas: 1) For the purpose of scheduling transmissions, a general network can be decomposed into small building blocks of PNC, referred to as the PNC atoms. 2) TWRC is only one of many possible PNC atoms - besides TWRC, we identify eight other PNC atoms. We present formal definitions for the nine PNC atoms. We then formulate the PNC scheduling problem as a linear program based on the decomposition principle stated in 1) above. Two major results of our simulation experiments are as follows. First, under the decomposition framework, the throughput performance of PNC is significantly better than those of the traditional multi-hop scheme and the non-physical-layer network coding scheme - e.g., under heavy traffic volume, PNC can achieve 100% throughput gain relative to the traditional multi-hop scheme. Second, PNC decomposition based on a variety of different PNC atoms yield much better performance than PNC decomposition based on the TWRC atom alone.
物理层网络编码的构建块
本文研究了物理层网络编码(PNC)的基本组成模块。自提出以来,PNC已发展成为网络编码的一个分支领域,受到许多人的研究。然而,大多数先前的工作都集中在PNC可以应用的最简单的通信设置上,即双向中继信道(TWRC)。PNC在一般网络中的应用研究相对较少。本文试图填补这一空白。为此,我们提出了两个思路:1)为了调度传输,一般网络可以被分解成小的PNC构建块,称为PNC原子。2) TWRC只是许多可能的PNC原子中的一个-除了TWRC,我们还确定了其他八个PNC原子。我们给出了9个PNC原子的正式定义。然后,我们根据上述1)的分解原理将PNC调度问题表述为线性规划。我们仿真实验的两个主要结果如下:首先,在分解框架下,PNC的吞吐量性能明显优于传统的多跳方案和非物理层网络编码方案,例如在大流量下,相对于传统的多跳方案,PNC可以实现100%的吞吐量增益。其次,基于多种不同PNC原子的PNC分解比仅基于TWRC原子的PNC分解的性能要好得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书