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Optimal power control in OFDMA cellular networks
Author(s) -
Detti Paolo,
Nicosia Gaia,
Pacifici Andrea,
Servilio Mara
Publication year - 2011
Publication title -
networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.977
H-Index - 64
eISSN - 1097-0037
pISSN - 0028-3045
DOI - 10.1002/net.20429
Subject(s) - computer science , telecommunications link , heuristic , mathematical optimization , solver , cellular network , power control , interference (communication) , computational complexity theory , margin (machine learning) , transmission (telecommunications) , power (physics) , distributed computing , computer network , algorithm , telecommunications , mathematics , artificial intelligence , physics , channel (broadcasting) , quantum mechanics , machine learning , programming language
This article addresses the problem of allocating users to radio resources in the downlink of an OFDMA cellular system. We consider a classical multicellular environment with a realistic interference model and a margin adaptive approach, i.e., we aim at minimizing total transmission power while maintaining a certain given rate for each user. We discuss computational complexity issues of the resulting model and present a heuristic approach that finds optima under suitable conditions or reasonably good solutions in the general case. Computational experiments show the effectiveness of the proposed heuristic in a comparison with both a commercial state‐of‐the‐art optimization solver and other approaches from the literature. © 2011 Wiley Periodicals, Inc. NETWORKS, 2011
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