Data networks (2nd ed.)
Elements of information theory
Elements of information theory
A decision-theoretic approach to resource allocation in wireless multimedia networks
DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
Formalizing the interference temperature model
Wireless Communications & Mobile Computing - Cognitive Radio, Software Defined Radio And Adaptive Wireless Systems
COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview
IEEE Communications Magazine
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
Spectrum sharing for unlicensed bands
IEEE Journal on Selected Areas in Communications
Distributed spectrum sensing and access with secondary channel quality in cognitive radio networks
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Steady-state Markov chain analysis for heterogeneous cognitive radio networks
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Controlling chaotic oscillations in user-centric cognitive radio networks
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
A continuous-time Markov chain model and analysis for cognitive radio networks
International Journal of Communication Networks and Distributed Systems
Chaotic oscillations in user-centric cognitive radio networks and their control
International Journal of Knowledge and Web Intelligence
A Hybrid Spectrum Sensing Method for Cognitive Sensor Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.01 |
Dynamic spectrum access has become a promising approach to fully utilize the scarce spectrum resources. In a dynamically changing spectrum environment, it is very important to consider the statistics of different users' spectrum access so as to achieve more efficient spectrum allocation. In this paper, we propose a primary-prioritized Markov approach for dynamic spectrum access through modeling the interactions between the primary and the secondary users as continuous-time Markov chains (CTMC). Based on the CTMC models, to compensate the throughput degradation due to the interference among secondary users, we derive the optimal access probabilities for the secondary users, by which the spectrum access of the secondary users is optimally coordinated, and the spectrum dynamics are clearly captured. Therefore, a good tradeoff can be achieved between the spectrum efficiency and fairness. The simulation results show that the proposed primary-prioritized dynamic spectrum access approach under proportional fairness criterion achieves much higher throughput than the CSMA-based random access approaches and the approach achieving max-min fairness. Moreover, it provides fair spectrum sharing among secondary users with only small performance degradation compared to the approach maximizing the overall average throughput.