Int. J. of Wireless and Mobile Computing   »   2016 Vol.10, No.3



Title: Impact of sensing errors on the performance of an unreliable opportunistic spectrum sharing system


Authors: Shensheng Tang; Rong Yu; Xiaojiang Chen; Chenghua Tang; Yi Xie


Department of Engineering Technology, Missouri Western State University, St. Joseph, MO 64506, USA
School of Automation, Guangdong University of Technology, Guangzhou 510006, China
School of Information Science & Technology, Northwest University, Xi'an 710127, China
College of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510275, China


Abstract: Opportunistic Spectrum Sharing (OSS) is a promising solution for efficient spectrum utilisation. In this paper, we analytically model an unreliable OSS system and investigate the impact of sensing errors on the system performance. The OSS system consists of primary users and secondary users that share a number of channels over a coverage area. Both initiating secondary users and ongoing secondary users sense the channels and perform appropriate activities. A buffer is introduced to temporarily hold the call of an ongoing secondary user when there is no channel available upon the call arrival of a primary user. In unreliable sensing, the sensing errors from either initiating or ongoing secondary users cause false alarm and misdetection events, which may impose different impacts on both types of users. We present the analytic solutions for the OSS system and provide numerical results for validation. The proposed modelling method is expected to be used for design and performance evaluation of future OSS networks.


Keywords: opportunistic spectrum sharing; unreliable sensing; false alarms; misdetection; call collision; Markov process; sensing errors; sensor reliability; analytical modelling.


DOI: 10.1504/IJWMC.2016.077227


Int. J. of Wireless and Mobile Computing, 2016 Vol.10, No.3, pp.197 - 204


Submission date: 27 Jul 2015
Date of acceptance: 18 Feb 2016
Available online: 23 Jun 2016



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