Modeling and analysis of stochastic systems
Modeling and analysis of stochastic systems
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Introduction to Discrete Event Systems
Introduction to Discrete Event Systems
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks
IEEE Transactions on Mobile Computing
Markov chain existence and Hidden Markov models in spectrum sensing
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Primary-prioritized Markov approach for dynamic spectrum allocation
IEEE Transactions on Wireless Communications
A Decision-Theoretic Framework for Opportunistic Spectrum Access
IEEE Wireless Communications
On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance
IEEE Transactions on Wireless Communications - Part 2
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency
IEEE Communications Magazine
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
A Hybrid Spectrum Sensing Method for Cognitive Sensor Networks
Wireless Personal Communications: An International Journal
| Hi-index | 0.00 |
Cognitive radio technology has been widely researched to improve the spectrum usage efficiency. Modeling of the spectrum occupancy in a cognitive framework including licensed and unlicensed users with various traffic conditions, is a prior requirement to do the system analysis. In this paper, we develop a continuous-time Markov chain model to describe the radio spectrum usage, and derive the transition rate matrix for this model. In addition, we perform steady-state analysis to analytically derive the probability state vector. The proposed model and derived expressions are compared to the existing models, and examined through numerical analysis.