A Gain-Computation Enhancements Resource Allocation for Heterogeneous Service Flows in IEEE 802.16 m Mobile NetworksReport as inadecuate




A Gain-Computation Enhancements Resource Allocation for Heterogeneous Service Flows in IEEE 802.16 m Mobile Networks - Download this document for free, or read online. Document in PDF available to download.

International Journal of Digital Multimedia BroadcastingVolume 2012 2012, Article ID 431958, 13 pages

Research ArticleMediatron: Research Unit on Radio Communication and Multimedia Networks, Higher School of Communication of Tunis Sup’com, Carthage University, Cité Technologique des Communications, Route de Raoued Km 3.5, 2083 El Ghazala, Ariana, Tunisia

Received 30 April 2011; Revised 6 October 2011; Accepted 26 October 2011

Academic Editor: Yifeng He

Copyright © 2012 Wafa Ben Hassen and Meriem Afif. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper deals with radio resource allocation in fourth generation 4G wireless mobile networks based on Orthogonal Frequency Division Multiple Access OFDMA as an access method. In IEEE 802.16 m standard, a contiguous method for subchannel construction is adopted in order to reduce OFDMA system complexity. In this context, we propose a new subchannel gain computation method depending on frequency responses dispersion. This method has a crucial role in the resource management and optimization. In a single service access, we propose a dynamic resource allocation algorithm at the physical layer aiming to maximize the cell data rate while ensuring fairness among users. In heterogeneous data traffics, we study scheduling in order to provide delay guaranties to real-timeservices, maximize throughput of non-real-time services while ensuring fairness to users. We compare performances to recent existing algorithms in OFDMA systems showing that proposed schemes provide lower complexity, higher total system capacity, and fairness among users.





Author: Wafa Ben Hassen and Meriem Afif

Source: https://www.hindawi.com/



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