On the collaborative cellular cognitive radio networks

G. C., Deepak and Navaie, Keivan (2016) On the collaborative cellular cognitive radio networks. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS); 10 - 14 April 2016, San Francisco, CA, USA.

Official URL: https://doi.org/10.1109/INFCOMW.2016.7562193

Abstract

In this article, we evaluate the collaborative sub-channel activity index (SAI) to characterize the primary users activity in cognitive radio network. The optimal transmit power allocation policy is then formulated based on SAI as an optimization problem with the objective of maximizing the total user rate and minimizing the energy consumption at the secondary base station (SBS), subject to various constraints at the primary system. The obtained results enable to achieve a tradeoff between contradicting energy efficiency (EE) and spectral efficiency (SE) objectives as a function of SAI which ultimately provides a quantitative insights on the system design. The simulations show the better tradeoff deal between EE and SE by tuning the sensing constraints.

Official URL:	https://doi.org/10.1109/INFCOMW.2016.7562193
Item Type:	Conference or Workshop Item (Paper)
Event Title:	2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Organising Body:	The Institute of Electrical and Electronics Engineers
Additional Information:	Published in: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Piscataway, NJ : IEEE. ISBN 9781467399562.
Uncontrolled Keywords:	cellular radio; cognitive radio; energy consumption; telecommunication power management; collaborative cellular cognitive radio networks; sensing constraints; spectral efficiency objectives; energy efficiency; SBS; secondary base station; energy consumption; total user rate; optimal transmit power allocation policy; primary users activity; SAI; collaborative sub-channel activity index; Resource management; Indexes; Cognitive radio; Base stations; Sensors; Collaboration; Tuning
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Date Deposited:	21 Feb 2020 14:25
Last Modified:	06 Oct 2020 15:38
DOI:	https://doi.org/10.1109/INFCOMW.2016.7562193
URI:	https://eprints.kingston.ac.uk/id/eprint/43426

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