@inproceedings{f153a555914d4afb9c1f870c25901c15,
title = "Joint power and admission control via linear programming deflation",
abstract = "In an interference network, joint power and admission control aims to support a maximum number of links at their specified signal to interference plus noise ratio (SINR) targets while using a minimum total transmission power. Since this problem is NP-hard, convex approximation heuristics have been considered in the literature. In this work, we first reformulate the problem as a sparse ℓ 0-minimization problem and then relax it to a linear program (LP). Then, we derive an easily-checkable necessary condition for all links in the network to be simultaneously supported at their target SINR levels, and use it to iteratively remove strong interfering links (deflation). Numerical simulations show the proposed heuristic compares favorably with the existing approaches in terms of both the number of supported links and speed.",
keywords = "Admission control, convex approximation, power control, sparse optimization",
author = "Liu, {Ya Feng} and Dai, {Yu Hong} and Luo, {Zhi Quan}",
year = "2012",
doi = "10.1109/ICASSP.2012.6288517",
language = "English (US)",
isbn = "9781467300469",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "2873--2876",
booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",
note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",
}