Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Efficient resource management in OFDMA Femto cells
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Opportunistic Spectrum Access via Periodic Channel Sensing
IEEE Transactions on Signal Processing
Maximizing Cooperative Diversity Energy Gain for Wireless Networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Combined power/channel allocation method for efficient spectrum sharing in TV white space scenario
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
A Survey of Green Mobile Networks: Opportunities and Challenges
Mobile Networks and Applications
Reconnection Analysis for a Cognitive Radio Network with Unreliable Sensing
Wireless Personal Communications: An International Journal
A dynamic programming approximation for downlink channel allocation in cognitive femtocell networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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WiMAX with femto cells is a cost-effective next-generation broadband wireless communication system. Cognitive Radio (CR) has recently emerged as a promising technology to improve spectrum utilization by allowing dynamic spectrum access. There will be large potential benefits by applying the CR technique to WiMAX with femto cells, which are barely explored in the literature. In this paper, we propose a novel cognitive WiMAX architecture with femto cells, where the base station and users are equipped with CRs and intelligently adjusts power, channel, and other resources to accommodate the entire network ecosystem. In this new design, we develop an optimization framework for location-aware cooperative resource management, by jointly employing multi-hop cooperative communication, power control, channel assignment, primary user protection, buffer management, and fairness, and incorporating user, channel, and cooperative diversities. To achieve optimality, it is designed based on stochastic Lyapunov optimization, aiming to take advantage of the radio flexibility and fully utilize the spectrum. Evaluated by the rigorous analysis and extensive simulations, our resource management protocol is near-optimal with closed-form bounds, with which cognitive WiMAX achieves substantial performance improvement.