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Wireless Networks
Erschienen in: Wireless Networks 3/2019

15.02.2018

A resource allocation algorithm for throughput maximization with fairness increase based on virtual PRB in MIMO-OFDMA systems

verfasst von: Mériem Afif, Wafa Ben Hassen, Sami Tabbane

Erschienen in: Wireless Networks | Ausgabe 3/2019

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Abstract

This paper deals with a new resource allocation algorithm in downlink MIMO-OFDMA systems. The objective is to maximize the system throughput with respect to fairness criteria since some users may experience bad channel conditions for a long time. Known to be NP-hard, the original optimization problem is divided into two sub-problems where radio resource allocation and power allocation are performed separately. Firstly, a recursive PRB allocation algorithm is performed aiming at maximizing the system throughput. In LTE systems, 41% of sub-carriers are considered unused which introduces spectral efficiency loss. As solution, the eNodeB aggregates the unused sub-carriers by each user to construct a “virtual” PRB to be allocated to seldom served user for fairness and throughput increase. Secondly, power allocation is performed to select a more appropriate MCS.
Vorheriger Artikel SCE-PSO based clustering approach for load balancing of gateways in wireless sensor networks
Nächster Artikel A RSU-aided distributed trust framework for pseudonym-enabled privacy preservation in VANETs

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Metadaten
Titel
A resource allocation algorithm for throughput maximization with fairness increase based on virtual PRB in MIMO-OFDMA systems
verfasst von
Mériem Afif
Wafa Ben Hassen
Sami Tabbane
Publikationsdatum
15.02.2018
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 3/2019
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-018-1680-9

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