Wireless Communications
Further results on selective multiuser diversity
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Cross-layer optimization for OFDM wireless networks-part II: algorithm development
IEEE Transactions on Wireless Communications
Downlink resource management for packet transmission in OFDM wireless communication systems
IEEE Transactions on Wireless Communications
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints
IEEE Transactions on Wireless Communications
Selective relative best scheduling for best-effort downlink packet data
IEEE Transactions on Wireless Communications
Efficient subcarrier, power, and rate allocation with fairness consideration for OFDMA uplink
IEEE Transactions on Wireless Communications - Part 1
Wireless communications: past events and a future perspective
IEEE Communications Magazine - Part Anniversary
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
Weighted-SNR-based fair scheduling for uplink OFDMA
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
QoS-driven radio resource allocation for OFDMA networks based on a game theoretical approach
MACOM'10 Proceedings of the Third international conference on Multiple access communications
Optimal OFDMA downlink scheduling under a control signaling cost constraint
IEEE Transactions on Communications
Constrained weighted sum rate maximization for multicast service in downlink OFDMA
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Resource Allocation Schemes for the Heterogeneous OFDMA System with Multiple Ad Hoc Relays
Wireless Personal Communications: An International Journal
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In this paper, we propose and study several sum rate maximization algorithms for uplink orthogonal frequency division multiple access (OFDMA). For uplink scheduling without fairness consideration, we propose two Lagrangian duality optimization-based methods to maximize the weighted sum rate, which include a cyclic dual-update algorithm and a per-stage dual-update algorithm. For a low-complexity alternative, we design and analyze the transmit power and signal-to-noise ratio (SNR) product (PSP) based selective multiuser diversity (SMuD) schemes. Next, for fair scheduling, we propose rate maximization schemes under access proportional fairness (APF) and rate proportional fairness (RPF) constraints, respectively. The APF is achieved using normalized channel SNR (n-SNR) ranking-based SMuD for user selection per carrier, and the RPF is realized using dynamical carrier assignment based on the target rate ratios. Analytical throughput and fairness metrics are derived and verified via simulations. Numerical results illustrate the sum rate loss caused by rate fairness and access fairness constraints compared to the duality approach. Also, we show that unlike the downlink case, for uplink OFDMA the correlated frequency channels (carriers) cause significant ergodic sum rate degradation compared to the independent channels. These results provide new insight into the achievable uplink OFDMA performance with and without fairness constraints.