Outage analysis of non-regenerative analog network coding for two-way multi-hop networks

Wang, Gengkun and Xiang, Wei and Yuan, Jinhong and Huang, Tao (2011) Outage analysis of non-regenerative analog network coding for two-way multi-hop networks. IEEE Communications Letters, 15 (6). pp. 662-664. ISSN 1089-7798

Abstract

We investigate the performance of analog network coding (ANC) for multi-hop networks in this letter. With the amplify-and-forward (AF) protocol, relays broadcast the sum of two colliding signals to neighboring nodes, while the source node can subtract its own signal from the colliding signals to obtain the received information. We first give the transmission scheme expressions for the n-node m-frame two-way multi-hop network. For this scheme, we derive the end-to-end signal-to-noise ratio (SNR) expression. The closed-form expression of the outage probability for the generalized multi-hop network is evaluated. Numerical results demonstrate that the outage performance with ANC is better than that of the traditional AF scheme.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: Mr Gengkun Wang
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 23 Aug 2011 05:17
Last Modified: 25 Aug 2014 04:52
Uncontrolled Keywords: multi-hop networks; analog network coding; end-to-end SNR; outage probability
Fields of Research (FOR2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
10 Technology > 1005 Communications Technologies > 100510 Wireless Communications
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.1109/LCOMM.2011.050311.110006
URI: http://eprints.usq.edu.au/id/eprint/19527

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