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Published in: Wireless Networks 7/2011

01-10-2011

Capacity of wireless networks under SINR interference constraints

Authors: Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan

Published in: Wireless Networks | Issue 7/2011

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Abstract

A fundamental problem in wireless networks is to estimate their throughput capacity—given a set of wireless nodes and a set of connections, what is the maximum rate at which data can be sent on these connections. Most of the research in this direction has focused either on random distributions of points, or has assumed simple graph-based models for wireless interference. In this paper, we study the capacity estimation problem using a realistic Signal to Interference Plus Noise Ratio (SINR) model for interference, on arbitrary wireless networks without any assumptions on node distributions. The problem becomes much more challenging for this setting, because of the non-locality of the SINR model. Recent work by Moscibroda et al. (IEEE INFOCOM 2006, ACM MobiHoc 2006) has shown that the throughput achieved by using SINR models can differ significantly from that obtained by using graph-based models. In this work, we develop polynomial time algorithms to provably approximate the throughput capacity of wireless network under the SINR model.

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Footnotes
1
All the logarithms considered in this paper are to the base two and floor of the log functions is considered, for e.g. \(\log \Updelta \) is actually considered as \(\lfloor \log \Updelta \rfloor\).
 
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Metadata
Title
Capacity of wireless networks under SINR interference constraints
Authors
Deepti Chafekar
V. S. Anil Kumar
Madhav V. Marathe
Srinivasan Parthasarathy
Aravind Srinivasan
Publication date
01-10-2011
Publisher
Springer US
Published in
Wireless Networks / Issue 7/2011
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-011-0367-2

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