The International Conference on Information Networking 2014 (ICOIN2014) (2013)
Jan. 28, 2013 to Jan. 30, 2013
Tuan LeAnh , Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
Mui Van Nguyen , Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
C. T. Do , Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
Choong Seon Hong , Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
Sungwon Lee , Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
Jin Pyo Hong , Dept. of Inf. & Commun. Eng., Hankook Univ. of Foreign Studies, Yongin, South 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.
Mobile communication, Throughput, Markov processes, Mobile computing, Cognitive radio, Sensors
Tuan LeAnh, Mui Van Nguyen, C. T. Do, Choong Seon Hong, Sungwon Lee and Jin Pyo Hong, "Optimal network selection coordination in heterogeneous Cognitive Radio Networks," 2013 International Conference on Information Networking (ICOIN), Bangkok, 2013, pp. 163-168.