Adaptive signal processing algorithms: stability and performance
Adaptive signal processing algorithms: stability and performance
A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Wireless Communications
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm
Queueing Systems: Theory and Applications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Resource allocation and cross-layer control in wireless networks
Foundations and Trends® in Networking
Multi-agent radio resource allocation
Mobile Networks and Applications
Fairness and optimal stochastic control for heterogeneous networks
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Signal Processing
Max-utility wireless resource management for best-effort traffic
IEEE Transactions on Wireless Communications
Opportunistic power scheduling for dynamic multi-server wireless systems
IEEE Transactions on Wireless Communications
Power-efficient wireless OFDMA using limited-rate feedback
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Capacity and optimal resource allocation for fading broadcast channels .I. Ergodic capacity
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Adaptive transmission with finite code rates
IEEE Transactions on Information Theory
A fluid analysis of a utility-based wireless scheduling policy
IEEE Transactions on Information Theory
Approaches to spectrum sharing
IEEE Communications Magazine
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
Joint congestion control, routing, and MAC for stability and fairness in wireless networks
IEEE Journal on Selected Areas in Communications
Power control for cooperative dynamic spectrum access networks with diverse QoS constraints
IEEE Transactions on Communications
Adaptive resource allocation with strict delay constraints in OFDMA system
EURASIP Journal on Wireless Communications and Networking
Resource Allocation of Limited Feedback in Clustered Wireless Mesh Networks
Wireless Personal Communications: An International Journal
Sensing Confidence Level-Based Joint Spectrum and Power Allocation in Cognitive Radio Networks
Wireless Personal Communications: An International Journal
| Hi-index | 35.69 |
Tailored for the emerging class of cognitive radio networks comprising primary and secondary wireless users, the present paper deals with dynamic allocation of subcarriers, rate and power resources based on channel state information (CSI) for orthogonal frequency-division multiple access (OFDMA). Users rely on adaptive modulation, coding and power modes that they select in accordance with the limited-rate feedback they receive from the access point. The access point uses CSI to maximize a generic concave utility of the average rates in the network while adhering to rate and power constraints imposed on the primary and secondary users to respect cognitive radio related hierarchies. When the channel distribution is available, optimum dual prices are found to optimally allocate resources across users dynamically per channel realization. In addition, a simple yet optimal online algorithm that does not require knowledge of the channel distribution and iteratively computes the dual prices per channel realization is developed using a stochastic dual approach. Analysis of the computational and feedback overhead along with simulations assessing the performance of the novel algorithms are also provided.