TY - CONF T1 - Approximation Algorithms for Computing Capacity of Wireless Networks with SINR Constraints T2 - IEEE INFOCOM 2008. The 27th Conference on Computer Communications Y1 - 2008 A1 - Chafekar,D. A1 - Kumart,V. S.A A1 - Marathe,M. V A1 - Parthasarathy,S. A1 - Srinivasan, Aravind KW - Algorithm design and analysis KW - approximation algorithm KW - Approximation algorithms KW - approximation theory KW - Computer networks KW - Computer science KW - graph theory KW - graph-based model KW - Interference constraints KW - polynomial time algorithm KW - Propagation losses KW - Protocols KW - radio networks KW - radiofrequency interference KW - signal to interference plus noise ratio KW - Signal to noise ratio KW - Throughput KW - wireless interference KW - wireless network KW - Wireless networks AB - A fundamental problem in wireless networks is to estimate its 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 on either random distributions of points, or has assumed simple graph-based models for wireless interference. In this paper, we study capacity estimation problem using the more general Signal to Interference Plus Noise Ratio (SINR) model for interference, on arbitrary wireless networks. The problem becomes much harder in this setting, because of the non-locality of the SINR model. Recent work by Moscibroda et al. (2006) has shown that the throughput in this model can differ from graph based models significantly. We develop polynomial time algorithms to provably approximate the total throughput in this setting. JA - IEEE INFOCOM 2008. The 27th Conference on Computer Communications PB - IEEE SN - 978-1-4244-2025-4 M3 - 10.1109/INFOCOM.2008.172 ER -