NDLI: Cross-Layer Optimized Call Admission Control in Cognitive Radio Networks

Content Provider	Springer Nature Link
Author	Yu, Rong Zhang, Yan Huang, Ming Xie, Shengli
Copyright Year	2009
Abstract	In Cognitive Radio (CR) networks, Call Admission Control (CAC) is a key enabling technique to ensure Quality-of-Service (QoS) provisioning for Secondary Users (SUs). CAC decisions are usually made based on the current traffic volume in the system. However, in CR networks, the system state of channel utilization can only be partially observed through spectrum sensing. The presence of sensing error may mislead the CAC strategy to make an inefficient or even incorrect decision. To achieve QoS provisioning in CR networks, a practical CAC strategy should have in-built functionality to deal with the inaccuracy of sensing results. This paper is motivated to construct a cross-layer optimization framework, in which the parameters of CAC strategy and spectrum sensing scheme are simultaneously tuned to minimize the dropping rate while satisfying the requirements of both blocking rate and interference threshold. After introducing a multiple-stair Markov model to approximate the non-memoryless state transitions, the cross-layer optimization is modelled as a non-linear programming problem. The method of branch-and-bound is employed to solve the problem, where five components are involved: problem selection, reformulation linear technique, simplex method, local search and sub-problem generation. Extensive simulations are carried out to evaluate the proposed CAC strategy. The simulation results show that our CAC strategy significantly outperforms two traditional strategies. The dropping rate in our strategy is considerably reduced. Meanwhile, the blocking rate and the interference probability strictly coincide with the constraints.
Starting Page	610
Ending Page	626
Page Count	17
File Format	PDF
ISSN	1383469X
Journal	Mobile Networks and Applications
Volume Number	15
Issue Number	5
e-ISSN	15728153
Language	English
Publisher	Springer US
Publisher Date	2009-07-31
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	cognitive radio call admission control spectrum sensing cross-layer optimization quality-of-service Business Information Systems Electrical Engineering Computer Communication Networks Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Hardware and Architecture Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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