DocumentCode
2335475
Title
Cooperative Resource Management in Cognitive WiMAX with Femto Cells
Author
Jin, Jin ; Li, Baochun
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear
2010
fDate
14-19 March 2010
Firstpage
1
Lastpage
9
Abstract
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.
Keywords
WiMax; channel allocation; cognitive radio; optimisation; resource allocation; spread spectrum communication; telecommunication network management; base station; buffer management; channel assignment; cognitive WiMAX architecture; cognitive radio; cost-effective next generation broadband wireless communication system; dynamic spectrum access; fairness; femto cell; location-aware cooperative resource management; multihop cooperative communication; network ecosystem; optimization framework; power control; primary user protection; radio flexibility; resource management protocol; spectrum utilization; stochastic Lyapunov optimization; Base stations; Broadband communication; Chromium; Cognitive radio; Design optimization; Ecosystems; Intelligent networks; Resource management; WiMAX; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2010 Proceedings IEEE
Conference_Location
San Diego, CA
ISSN
0743-166X
Print_ISBN
978-1-4244-5836-3
Type
conf
DOI
10.1109/INFCOM.2010.5462172
Filename
5462172
Link To Document