An Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis

AbdulRahman Alabbasi, Basem Shihada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

In this paper, an energy efficient cognitive radio system is proposed. The proposed design optimizes the secondary user transmission power and the sensing duration combined with soft-sensing information to minimize the energy per goodbit. Due to the non-convex nature of the problem we prove its pseudo-convexity to guarantee the optimal solution. Furthermore, a quantization scheme, that discretize the softsensing information, is proposed and analyzed to reduce the overload of the continuously adapted power. Numerical results show that our proposed system outperforms the benchmark systems. The impact of the quantization levels and other system parameters is evaluated in the numerical results.
Original languageEnglish (US)
Title of host publication2015 IEEE Wireless Communications and Networking Conference (WCNC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages423-428
Number of pages6
ISBN (Print)9781479984060
DOIs
StatePublished - Jun 18 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

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