Multi-service transmission in multiuser cooperative networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
International Journal of Mobile Network Design and Innovation
End-to-end outage minimization in OFDM based linear relay networks
IEEE Transactions on Communications
Downlink mobile OFDMA resource allocation with minimum user rate requests
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Subcarrier-pair based resource allocation for cooperative multi-relay OFDM systems
IEEE Transactions on Wireless Communications
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IEEE Communications Letters
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IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
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Scheduling prioritized services in multihop OFDMA networks
IEEE/ACM Transactions on Networking (TON)
Resource allocation for multiuser cognitive OFDM networks with proportional rate constraints
International Journal of Communication Systems
Adaptive Power and Subchannel Allocation for Dual-Class OFDMA Packet Data Networks
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Efficient resource allocation algorithm for OFDMA systems with delay constraint
Computer Communications
Novel Fairness Improved Radio Resource Management Schemes for Best-Effort Service in OFDMA Systems
Wireless Personal Communications: An International Journal
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Most existing work on adaptive allocation of sub- carriers and power in multiuser orthogonal frequency division multiplexing (OFDM) systems has focused on homogeneous traffic consisting solely of either delay-constrained data (guaranteed service) or non-delay-constrained data (best-effort service). In this paper, we investigate the resource allocation problem in a heterogeneous multiuser OFDM system with both delay-constrained (DC) and non-delay-constrained (NDC) traffic. The objective is to maximize the sum-rate of all the users with NDC traffic while maintaining guaranteed rates for the users with DC traffic under a total transmit power constraint. Through our analysis we show that the optimal power allocation over subcarriers follows a multi-level water-filling principle; moreover, the valid candidates competing for each subcarrier include only one NDC user but all DC users. By converting this combinatorial problem with exponential complexity into a convex problem or showing that it can be solved in the dual domain, efficient iterative algorithms are proposed to find the optimal solutions. To further reduce the computational cost, a low-complexity suboptimal algorithm is also developed. Numerical studies are conducted to evaluate the performance of the proposed algorithms in terms of service outage probability, achievable transmission rate pairs for DC and NDC traffic, and multiuser diversity.