Channel Availability Analysis for Sensing Order Selection in CRNs with Correlated Channels

In cognitive radio networks (CRNs), channel availability is one of the key factors in constructing policies for sensing order selection. It provides information about the channel occupancy and enables second user to find the available channel efficiently. In this paper we investigate the channel availability in a CRN system with correlated channels, by introducing the concept of the conditional consecutive idle probability (CCIP) of the channel. In the scenario where the primary user's occupancy follows M/M/c/c queue we derive the CCIP of the channel according to the historical occupancy observations of the spectrum. As an example of the application in sensing order selection, the number of consecutive idle slots (NCIS), which impacts the reward of SU, is then obtained based on the CCIP of the channel. Numerical results verify the theoretical results produced in this paper.

[1]  Xiaoying Gan,et al.  An Estimation Algorithm of Channel State Transition Probabilities for Cognitive Radio Systems , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[2]  Bhaskar Krishnamachari,et al.  On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance , 2007, IEEE Transactions on Wireless Communications.

[3]  Ananthram Swami,et al.  Distributed Spectrum Sensing and Access in Cognitive Radio Networks With Energy Constraint , 2009, IEEE Transactions on Signal Processing.

[4]  Carl M. Harris,et al.  Fundamentals of Queueing Theory: Gross/Fundamentals of Queueing Theory , 2008 .

[5]  Matti Latva-aho,et al.  Autonomous Sensing Order Selection Strategies Exploiting Channel Access Information , 2013, IEEE Transactions on Mobile Computing.

[6]  H. Vincent Poor,et al.  Optimal selection of channel sensing order in cognitive radio , 2009, IEEE Transactions on Wireless Communications.

[7]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[8]  Carlo Fischione,et al.  Analysis and Optimization of Distributed Random Sensing Order in Cognitive Radio Networks , 2014, ArXiv.

[9]  Carl M. Harris,et al.  Fundamentals of queueing theory , 1975 .

[10]  Friedrich Jondral,et al.  On the estimation of channel state transitions for cognitive radio systems , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).