%0 Journal Article
%T A Gain-Computation Enhancements Resource Allocation for Heterogeneous Service Flows in IEEE 802.16£¿m Mobile Networks
%A Wafa Ben Hassen
%A Meriem Afif
%J International Journal of Digital Multimedia Broadcasting
%D 2012
%I Hindawi Publishing Corporation
%R 10.1155/2012/431958
%X 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-time services, 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. 1. Introduction In fourth Generation (4G) wireless cellular networks, increasing demands for higher speed data rates transmission, mobility, and multiservice access, have imposed staggering challenges. Therefore, IEEE 802.16 standards propose the use of Orthogonal Frequency Division Multiple Access (OFDMA) among multiple alternatives. OFDMA has become one of the most interesting developments in the area of new broadband wireless networks due to its powerful capability to mitigate Inter-Symbol Interference (ISI), provide high spectral efficiency and immunity of multipath fading. Looking at wireless networks literature, several researches focus on adaptive resource allocation algorithms for single service required by users, in order to achieve some objectives aimed either to minimize total power under data rate constraint, called Margin Adaptive (MA) problem [1¨C3], or to maximize the total system throughput under power constraints referred as Rate Adaptive (RA) problem [4¨C6]. However, in practice how to efficiently allocate resources in multiservice wireless networks is not well-explored, nowadays. To resolve this challenge, recent multiservice transmission researches in wireless networks are paid more attention [7¨C9]. To handle a multiservice access network of heterogeneous traffic, the resource management scheme that can efficiently allocate subchannels to different users and services is essential. The major characteristics of resource allocation algorithms consist of their running time, computational complexity, and
%U http://www.hindawi.com/journals/ijdmb/2012/431958/