Distributed fractional programming in matched multiple access channels

Alessio Zappone, Eduard Jorswieck, Amir Leshem

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

1 Scopus citations

Abstract

This work deals with the problem of distributed resource allocation in MIMO MC MAC networks. The assignment between users and subcarriers is allocated together with the users' transmit powers for energy efficiency maximization, by means of a novel approach which merges the popular Dinkelbach's algorithm with stable matching. A distributed algorithm is presented, which can be implemented in a fully decentralized way. The algorithm has low computational complexity which comes at the price of weaker optimality properties. Additionally, a novel energy consumption model, which explicitly accounts for the energy consumption due to feedback transmissions, is employed and it is shown that the proposed distributed algorithm can improve the energy efficiency compared to state of the art centralized resource allocation algorithms.

Original languageAmerican English
Title of host publication2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509021031
DOIs
StatePublished - 15 Sep 2016
Externally publishedYes
Event2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 - Rio de Rio de Janeiro, Brazil
Duration: 10 Jul 201613 Jul 2016

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2016-September
ISSN (Electronic)2151-870X

Conference

Conference2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
Country/TerritoryBrazil
CityRio de Rio de Janeiro
Period10/07/1613/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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