Reference : Performance analysis of hybrid cognitive radio systems with imperfect channel knowledge
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/29254
Performance analysis of hybrid cognitive radio systems with imperfect channel knowledge
English
Kaushik, A. []
Sharma, Shree Krishna mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Jondral, F. []
Jul-2016
Communications (ICC), 2016 IEEE International Conference on
IEEE
Yes
International
978-1-4799-6664-6
Communications (ICC), 2016 IEEE International Conference on
from 23-05-2016 to 27-05-2016
Kuala Lumpur
Malaysia
[en] Sensors ; Interference ; Throughput ; Channel estimation ; Estimation ; Power control ; Analytical models
[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.
http://hdl.handle.net/10993/29254
10.1109/ICC.2016.7511541

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