Performance Analysis of Hybrid Cognitive Radio Systems with Imperfect Channel Knowledge

Kaushik, Ankit; Sharma, Shree Krishna; Chatzinotas, Symeon; Ottersten, Björn; Jondral, Friedrich

Reference : Performance Analysis of Hybrid Cognitive Radio Systems with Imperfect Channel Knowledge


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/27066

Title :	Performance Analysis of Hybrid Cognitive Radio Systems with Imperfect Channel Knowledge
Language :	English
Author, co-author :	Kaushik, Ankit [Karlsruhe Institute of Technology (KIT), Germany]
	Sharma, Shree Krishna [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Jondral, Friedrich []
Publication date :	May-2016
Main document title :	Proceedings of International Conference on Communications (ICC)
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	International Conference on Communications (ICC) 2016
Event date :	23-05-2016 to 27-05-2016
Event organizer :	IEEE
Event place (city) :	Kuala Lumpur
Keywords :	[en] Cognitive Radio ; Spectrum Sensing ; Imperfect Channel Knowledge ; Hybrid Cognitive Radio ; Power Control
Abstract :	[en] In this paper, we study the performance of hybrid cognitive radio systems that combine the benefits of interweave and underlay systems by employing a spectrum sensing and a power control mechanism at the Secondary Transmitter (ST). Existing baseline models considered for performance analysis assume perfect knowledge of the involved channels at the ST, however, such situations hardly exist in practical deployments. Motivated by this fact, we propose a novel approach that incorporates channel estimation at the ST, and consequently characterizes the performance of Hybrid Systems (HSs) under realistic scenarios. To capture the impact of imperfect channel knowledge, we propose outage constraints on the detection probability at the ST and on the interference power received at the primary receiver. Our analysis reveals that the baseline model overestimates the performance of the HS in terms of achievable secondary user throughput. Finally, based on the proposed estimation-sensing-throughput tradeoff, we determine suitable estimation and sensing durations that effectively capture the effect of imperfect channel knowledge and subsequently enhance the achievable secondary user throughput.
Target :	Researchers ; Professionals ; Students ; Others
Permalink :	http://hdl.handle.net/10993/27066
FnR project :	FnR ; FNR5785257 > Bjorn Ottersten > SeMIGod > SpEctrum Management and Interference mitiGation in cognitive raDio satellite networks > 01/04/2014 > 31/03/2017 > 2013

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