Joint power and admission control via linear programming deflation

Ya Feng Liu; Yu Hong Dai; Zhi-Quan Luo

doi:10.1109/ICASSP.2012.6288517

Joint power and admission control via linear programming deflation

Ya Feng Liu, Yu Hong Dai, Zhi-Quan Luo

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

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.

Original language	English (US)
Title of host publication	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages	2873-2876
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2012.6288517
State	Published - Oct 23 2012
Event	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: Mar 25 2012 → Mar 30 2012

Other

Other	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country	Japan
City	Kyoto
Period	3/25/12 → 3/30/12

Keywords

Admission control
convex approximation
power control
sparse optimization

Access

10.1109/ICASSP.2012.6288517

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Liu, YF, Dai, YH & Luo, Z-Q 2012, Joint power and admission control via linear programming deflation. in 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings., 6288517, pp. 2873-2876, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, Japan, 3/25/12. https://doi.org/10.1109/ICASSP.2012.6288517

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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.",

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author = "Liu, {Ya Feng} and Dai, {Yu Hong} and Zhi-Quan Luo",

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N2 - 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.

AB - 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.

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KW - power control

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