Distributed assignment and resource allocation for energy efficiency in MIMO wireless networks

Alessio Zappone, Eduard Jorswieck, Amir Leshem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper deals with the problem of distributed resource allocation in multi-carrier MIMO networks, for energy efficiency maximization. The user-subcarrier assignment is jointly allocated together with the users' transmit powers, subject to the constraint that each subcarrier can be used by only one user. To this end, a novel approach is proposed which merges the popular Dinkelbach's algorithm with the framework of distributed auction theory. The resulting algorithm can be implemented in a distributed fashion, with very limited feedback overhead, and is guaranteed to converge to the global optimum of the system energy efficiency, within a predefined threshold which can be chosen arbitrarily small. Numerical results compare the proposed distributed algorithm to the optimal, centralized allocation, showing its merits both in terms of performance and computational complexity.

Original languageAmerican English
Title of host publicationWSA 2016 - 20th International ITG Workshop on Smart Antennas
PublisherVDE Verlag GmbH
Pages165-169
Number of pages5
ISBN (Electronic)9783800741779
StatePublished - 2019
Externally publishedYes
Event20th International ITG Workshop on Smart Antennas, WSA 2016 - Munich, Germany
Duration: 9 Mar 201611 Mar 2016

Publication series

NameWSA 2016 - 20th International ITG Workshop on Smart Antennas

Conference

Conference20th International ITG Workshop on Smart Antennas, WSA 2016
Country/TerritoryGermany
CityMunich
Period9/03/1611/03/16

Bibliographical note

Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach, Germany.

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