Opportunistic resource allocation via stochastic network optimization in cognitive radio networks

In this paper, we develop an opportunistic scheduling policy for allocating spectrum in cognitive radio networks. We maximize the throughput utility of secondary users subject to maximum collision constraints with the primary users. Particularly, we consider a cognitive radio network with a subset o...

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Bibliographic Details
Published inThe 16th Asia-Pacific Network Operations and Management Symposium : 17-19 September 2014 pp. 1 - 4
Main Authors Tai Manh Ho, Tuan LeAnh, Ahsan Kazmi, S. M., Choong Seon Hong
Format Conference Proceeding
LanguageEnglish
Published 01.09.2014
Subjects
Cognitive radio
Cognitive Radio Network
Heuristic algorithms
Lyapunov Optimization
Optimization
Resource Allocation
Resource management
Scheduling
Throughput
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DOI10.1109/APNOMS.2014.6996560

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Summary:In this paper, we develop an opportunistic scheduling policy for allocating spectrum in cognitive radio networks. We maximize the throughput utility of secondary users subject to maximum collision constraints with the primary users. Particularly, we consider a cognitive radio network with a subset of the secondary users desire to use the licensed channels of primary system in a stochastic environment. Based on Lyapunov technique, we formulate the above problem as a Lyapunov optimization problem on stability region of virtual and actual queues. Then, we propose an online flow control, scheduling and spectrum allocation algorithm that meets the desired objectives and provides explicit performance guarantees.
DOI:10.1109/APNOMS.2014.6996560