Error exponent analysis of energy-based Bayesian decentralized spectrum sensing under fading
- 1 December 2015
- journal article
- Published by Elsevier BV in Physical Communication
- Vol. 17, 94-106
- https://doi.org/10.1016/j.phycom.2015.08.005
Abstract
This paper considers decentralized spectrum sensing, i.e., detection of occupancy of the primary users’ spectrum by a set of Cognitive Radio (CR) nodes, under a Bayesian set-up. The nodes use energy detection to make their individual decisions, which are combined at a Fusion Center (FC) using the K -out-of- N fusion rule. The channel from the primary transmitter to the CR nodes is assumed to undergo fading, while that from the nodes to the FC is assumed to be error-free. In this scenario, a novel concept termed as the Error Exponent with a Confidence Level (EECL) is introduced to evaluate and compare the performance of different detection schemes. Expressions for the EECL under general fading conditions are derived. As a special case, it is shown that the conventional error exponent both at individual sensors, and at the FC is zero. Further, closed-form lower bounds on the EECL are derived under Rayleigh fading and lognormal shadowing. As an example application, it answers the question of whether to use pilot-signal based narrowband sensing, where the signal undergoes Rayleigh fading, or to sense over the entire bandwidth of a wideband signal, where the signal undergoes lognormal shadowing. Theoretical results are validated using Monte Carlo simulations.
Keywords
This publication has 45 references indexed in Scilit:
- Optimal Cooperative Spectrum Sensing Under Faded and Bandwidth Limited Control ChannelsWireless Personal Communications, 2014
- Medium Access Control Protocols in Cognitive Radio Networks: Overview and General ClassificationIEEE Communications Surveys & Tutorials, 2014
- Special issue on Cognitive radio: The road for its second decadePhysical Communication, 2013
- Improving the Sensing–Throughput Tradeoff for Cognitive Radios in Rayleigh Fading ChannelsIEEE Transactions on Vehicular Technology, 2012
- Cooperative Sensing With Imperfect Reporting Channels: Hard Decisions or Soft Decisions?IEEE Transactions on Signal Processing, 2011
- Cognitive radio networking and communications: an overviewIEEE Transactions on Vehicular Technology, 2011
- Cooperative spectrum sensing in cognitive radio networks: A surveyPhysical Communication, 2011
- Cooperative Sensing for Primary Detection in Cognitive RadioIEEE Journal of Selected Topics in Signal Processing, 2008
- On the optimality of equal gain combining for energy detection of unknown signalsIEEE Communications Letters, 2006
- On collaborative detection of TV transmissions in support of dynamic spectrum sharingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005