Spectral and energy efficient cognitive radio-aided heterogeneous cellular network with uplink power adaptation

Tang, W., Shakir, M. Z., Imran, M. A. , Tafazolli, R., Qaraqe, K. A. and Wang, J. (2016) Spectral and energy efficient cognitive radio-aided heterogeneous cellular network with uplink power adaptation. Wireless Communications and Mobile Computing, 16(14), pp. 2144-2162. (doi:10.1002/wcm.2673)

132547.pdf - Accepted Version



In future heterogeneous cellular networks, cognitive radio compatible with device to device communication technique can be an aid to further enhance system spectral and energy efficiency. The unlicensed smart devices (SDs) are allowed to detect the available licensed spectrum and utilise the spectrum resource which is detected as not being used by the licensed users. In this work, we propose such a system and provide comprehensive analysis of the effect of selection of SDs' frame structure on the energy efficiency, throughput and interference. Moreover, uplink power control strategy is also considered where the licensed users and SDs adapt the transmit power based on the distance from their reference receivers. The optimal frame structure with power control is investigated under high-signal-to-noise ratio (SNR) and low-SNR network environments. The impact of power control and optimal sensing time and frame length, on the achievable energy efficiency, throughput and interference are illustrated and analysed by simulation results. It has been also shown that the optimal sensing time and frame length which maximizes the energy efficiency of SDs strictly depends on the power control factor employed in the underlying network such that the considered power control strategy may decrease the energy efficiency of SDs under very low-SNR regime.

Item Type:Articles
Additional Information:Parts of this paper were made possible by State Key Laboratory of Astronautic Dynamics (open fund 2013ADL-DW0401). In addition, we also acknowledge support from ICS.
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Tang, W., Shakir, M. Z., Imran, M. A., Tafazolli, R., Qaraqe, K. A., and Wang, J.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Wireless Communications and Mobile Computing
ISSN (Online):1530-8677
Published Online:10 May 2016
Copyright Holders:Copyright © 2016 John Wiley and Sons, Ltd
First Published:First published in Wireless Communications and Mobile Computing 16(14): 2144-2162
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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