Distributed Fractional Programming in Matched Multiple Access Channels

Alessio Zappone, Eduard Jorswieck, A. Leshem

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

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 9th Sensor Array and Multichannel Signal Processing Workshop (SAM 2016)
PublisherIEEE
StatePublished - 2016

Bibliographical note

Place of conference:Rio de Janeiro, Brazil.

Fingerprint

Dive into the research topics of 'Distributed Fractional Programming in Matched Multiple Access Channels'. Together they form a unique fingerprint.

Cite this