Post sensing optimal channel selection in cognitive radio networks

Patel, A and Merchant, S N and Desai, U B (2011) Post sensing optimal channel selection in cognitive radio networks. In: 17th IEEE International Conference on Networks, ICON 2011, 14-16, December 2011, Singapore.

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In cognitive radio networks parallel sensing the spectrum is not possible due to hardware limitations. This poses a challenge for good sequential sensing algorithms. We present a simple channel selection method for selecting the best channel amongst the sequentially scanned channels for the secondary user transmission taking the cost of scan per channel into consideration. We model the problem in the framework of the optimal stopping problem. Under practical assumptions, we show that this problem is a monotone problem and that the optimal policy is completely characterized by the one stage look ahead or 1 - sla set. We impose conditions on the states and analytically characterize the 1 - sla set. We show that the policy from the finite horizon MDP and the analysis of the 1- sla set yield the same result for different distributions on the channel state.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: A-monotone; Channel selection; Channel state; Cognitive radio network; Different distributions; Finite horizons; Look-ahead; Optimal channels; Optimal policies; Optimal stopping problem
Subjects: Others > Electronic imaging & Singal processing
Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Oct 2014 06:26
Last Modified: 13 Apr 2015 06:04
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