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2013 International Conference on Information Networking (ICOIN)
Optimal network selection coordination in heterogeneous Cognitive Radio Networks
Bangkok Thailand
January 28-January 30
ISBN: 978-1-4673-5740-1
Tuan LeAnh, Departruent of Computer Engineering, Kyung Hee University, 449-701, Korea
Mui Van Nguyen, Departruent of Computer Engineering, Kyung Hee University, 449-701, Korea
Cuong T. Do, Departruent of Computer Engineering, Kyung Hee University, 449-701, Korea
Choong Seon Hong, Departruent of Computer Engineering, Kyung Hee University, 449-701, Korea
Sungwon Lee, Departruent of Computer Engineering, Kyung Hee University, 449-701, Korea
Jin Pyo Hong, Department of Information and Communications Engineering, Hankook University of Foreign Studies, 449-791, Korea
In this paper we propose a new architecture for applications of Cognitive Radio Network (CRN) system based on network selection issue in which secondary users (SU) is able to connect to heterogeneous Cognitive Radio system and selects a network to perform a single transport control protocol (TCP) connection. We use a cross-layer design approach to consider jointly the spectrum sensing, access decision, physical-layer Adaptive Modulation and Coding scheme, and data-link layer frame size in each Cognitive Radio network to maximize the TCP throughput of SUs. Specifically, we formulate the Cognitive Radio Network as a Markov Decision Process, where the finite-state Markov model is used to characterize the time-varying channel states in each network. Then, we maximize Expected end-to-end TCP throughput in long-term by using Iteration method. This is illustrated by simulation results.
Index Terms:
Network Selection,Cognitive Radio Network,Markov Decision Process,TCP throughput
Citation:
Tuan LeAnh, Mui Van Nguyen, Cuong T. Do, Choong Seon Hong, Sungwon Lee, Jin Pyo Hong, "Optimal network selection coordination in heterogeneous Cognitive Radio Networks," icoin, pp.163-168, 2013 International Conference on Information Networking (ICOIN), 2013
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