Performance and implementation of clustered-OFDM for wireless communications
Mobile Networks and Applications - Special issue on personal communications services
Pricing strategies under heterogeneous service requirements
Computer Networks: The International Journal of Computer and Telecommunications Networking
Convex Optimization
Max-utility wireless resource management for best-effort traffic
IEEE Transactions on Wireless Communications
Cross-layer optimization for OFDM wireless networks-part I: theoretical framework
IEEE Transactions on Wireless Communications
Cross-layer optimization for OFDM wireless networks-part II: algorithm development
IEEE Transactions on Wireless Communications
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints
IEEE Transactions on Wireless Communications
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Performance prediction for OFDMA systems with dynamic power and subcarrier allocation
Computer Communications
Journal of Network and Computer Applications
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We study the problem of admission control and resource (subcarriers, power and bit-loading) allocation in a heterogeneous OFDMA wireless network serving both QoS-constrained high-priority users and best-effort users. By clustering subcarriers, efficient algorithms for cluster and power allocation have been proposed. Our strategy maximizes the total network utility of the best-effort users while satisfying the QoS request for maximum number of high-priority users. We approximate best-effort user utility function as a piece-wise linear function and propose a linear programming based cluster allocation algorithm. The feasibility of the resource allocation problem depends on the number of HP users in the network. Since a large number of demanding HP users would render the resource allocation problem infeasible, a joint admission control and resource allocation scheme could be an efficient way of tackling both problems with less overhead. By incorporating admission control, we propose an efficient and optimal joint admission control and resource allocation algorithm.