Simulation of Communication Systems: Modeling, Methodology and Techniques
Simulation of Communication Systems: Modeling, Methodology and Techniques
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Pattern Search Algorithms for Bound Constrained Minimization
SIAM Journal on Optimization
Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
Orthogonal Frequency Division Multiplexing for Wireless Communications (Signals and Communication Technology)
Adaptive subcarrier and bit allocation in OFDMA systems supporting heterogeneous services
Wireless Personal Communications: An International Journal
Adaptive Single-Cell OFDMA Resource Allocation for Heterogeneous Data Traffic
WIMOB '08 Proceedings of the 2008 IEEE International Conference on Wireless & Mobile Computing, Networking & Communication
Adaptive radio resource allocation in OFDMA systems: a survey of the state-of-the-art approaches
Wireless Communications & Mobile Computing - Next Generation Wireless Communications and Mobile Computing-Networking Technologies
LTE for UMTS - OFDMA and SC-FDMA Based Radio Access
LTE for UMTS - OFDMA and SC-FDMA Based Radio Access
Resource Allocation for Delay Differentiated Traffic in Multiuser OFDM Systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Transmit power adaptation for multiuser OFDM systems
IEEE Journal on Selected Areas in Communications
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Adaptive Radio Resource Allocation exploiting the inherent frequency selectivity of the wireless medium as well as the multi-user diversity effect is expected to play a crucial role in providing high QoS on emerging OFDMA-based wireless networks. Although a plethora of studies concerning exclusively constant bit rate (CBR) or variable bit rate/best effort (BE) traffic has been published to date, limited amount of work has been devoted to the more practical mixed CBR-BE data traffic scenario over OFDM radio access networks. In this paper we attempt to deal with the specific heterogeneous allocation problem, namely the maximization of elastic users' sum-throughput while providing minimum data rate service to a subset of non-elastic users. The contribution of this work is twofold. First, due to the high complexity of the resource allocation problem, we propose a relaxation method based on the prioritization of CBR- over BE-class users during the subchannel allocation procedure. We devise a method for obtaining the exact performance penalty induced by the specific hypothesis when compared to the optimal (unprioritized) decision. Secondly, we develop a polynomial complexity approximation algorithm for allocating power and bandwidth, that employs the CBR-prioritization idea. The scheme is shown to experience a relatively low performance penalty compared to its upper bound and to outperform two representative algorithms from the literature.