Applying Physical-Layer Network Coding in Wireless Networks

<p/> <p>A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes, simultaneously. Rather than a blessing, thi...

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Main Authors: Liew SoungChang, Zhang Shengli
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/870268
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spelling doaj-4e987832e4564a9cae1e3e9e4fcb9a4e2020-11-24T23:07:47ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101870268Applying Physical-Layer Network Coding in Wireless NetworksLiew SoungChangZhang Shengli<p/> <p>A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes, simultaneously. Rather than a blessing, this feature is treated more as an interference-inducing nuisance in most wireless networks today (e.g., IEEE 802.11). This paper shows that the concept of network coding can be applied at the physical layer to turn the broadcast property into a capacity-boosting advantage in wireless ad hoc networks. Specifically, we propose a physical-layer network coding (PNC) scheme to coordinate transmissions among nodes. In contrast to "straightforward" network coding which performs coding arithmetic on digital bit streams after they have been received, PNC makes use of the additive nature of simultaneously arriving electromagnetic (EM) waves for equivalent coding operation. And in doing so, PNC can potentially achieve 100% and 50% throughput increases compared with traditional transmission and straightforward network coding, respectively, in 1D regular linear networks with multiple random flows. The throughput improvements are even larger in 2D regular networks: 200% and 100%, respectively.</p>http://jwcn.eurasipjournals.com/content/2010/870268
collection DOAJ
language English
format Article
sources DOAJ
author Liew SoungChang
Zhang Shengli
spellingShingle Liew SoungChang
Zhang Shengli
Applying Physical-Layer Network Coding in Wireless Networks
EURASIP Journal on Wireless Communications and Networking
author_facet Liew SoungChang
Zhang Shengli
author_sort Liew SoungChang
title Applying Physical-Layer Network Coding in Wireless Networks
title_short Applying Physical-Layer Network Coding in Wireless Networks
title_full Applying Physical-Layer Network Coding in Wireless Networks
title_fullStr Applying Physical-Layer Network Coding in Wireless Networks
title_full_unstemmed Applying Physical-Layer Network Coding in Wireless Networks
title_sort applying physical-layer network coding in wireless networks
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description <p/> <p>A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes, simultaneously. Rather than a blessing, this feature is treated more as an interference-inducing nuisance in most wireless networks today (e.g., IEEE 802.11). This paper shows that the concept of network coding can be applied at the physical layer to turn the broadcast property into a capacity-boosting advantage in wireless ad hoc networks. Specifically, we propose a physical-layer network coding (PNC) scheme to coordinate transmissions among nodes. In contrast to "straightforward" network coding which performs coding arithmetic on digital bit streams after they have been received, PNC makes use of the additive nature of simultaneously arriving electromagnetic (EM) waves for equivalent coding operation. And in doing so, PNC can potentially achieve 100% and 50% throughput increases compared with traditional transmission and straightforward network coding, respectively, in 1D regular linear networks with multiple random flows. The throughput improvements are even larger in 2D regular networks: 200% and 100%, respectively.</p>
url http://jwcn.eurasipjournals.com/content/2010/870268
work_keys_str_mv AT liewsoungchang applyingphysicallayernetworkcodinginwirelessnetworks
AT zhangshengli applyingphysicallayernetworkcodinginwirelessnetworks
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