Energy detection based spectrum sensing over two-wave and diffuse power fading channels

Chatziantoniou, E., Allen, B., Velisavljevic, V., Karadimas, P. and Coon, J. (2017) Energy detection based spectrum sensing over two-wave and diffuse power fading channels. IEEE Transactions on Vehicular Technology, 66(1), pp. 868-874. (doi: 10.1109/TVT.2016.2556084)

Abstract

One of the most important factors that affects the performance of energy detection (ED) is the fading channel between the wireless nodes. This article investigates the performance of ED-based spectrum sensing, for cognitive radio (CR), over two-wave with diffuse power (TWDP) fading channels. The TWDP fading model characterizes a variety of fading channels, including well-known canonical fading distributions, such as Rayleigh and Rician, as well as worse than Rayleigh fading conditions modeled by the two-ray fading model. Novel analytic expressions for the average probability of detection over TWDP fading that account for single-user and cooperative spectrum sensing as well as square law selection diversity reception are derived. These expressions are used to analyze the behavior of ED-based spectrum sensing over moderate, severe and extreme fading conditions, and to investigate the use of cooperation and diversity as a means of mitigating the fading effects. Our results indicate that TWDP fading conditions can significantly degrade the sensing performance; however, it is shown that detection performance can be improved when cooperation and diversity are employed. The presented outcomes enable us to identify the limits of ED-based spectrum sensing and quantify the tradeoffs between detection performance and energy efficiency for cognitive radio systems deployed within confined environments such as in-vehicular wireless networks.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Karadimas, Dr Petros
• Authors: Chatziantoniou, E., Allen, B., Velisavljevic, V., Karadimas, P., and Coon, J.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Transactions on Vehicular Technology
• Publisher: IEEE
• ISSN: 0018-9545
• ISSN (Online): 1939-9359
• Published Online: 21 April 2016
• Copyright Holders: Copyright © 2017 IEEE
• First Published: First published in IEEE Transactions on Vehicular Technology 66(1):868-874
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher