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Channel Capacity Limits of Cognitive Radio with Imperfect Channel Knowledge

Suraweera, Himal A, Smith, Peter J, Shafi, Mansoor and Faulkner, Michael (2009) Channel Capacity Limits of Cognitive Radio with Imperfect Channel Knowledge. In: GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, Piscataway, NJ, pp. 2735-2740.

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Cognitive radio design aims to increase spectrum utilization by allowing the secondary users (SUs) to coexist with the primary users (PUs) as long as the interference caused by the SUs to each PU is properly regulated. At the SU, channel state information (CSI) between its transmitter and the PU receiver is used to calculate the maximum allowable SU transmit power to limit the interference. We assume that this PU-SU CSI is imperfect as it is the practical case. In addition to a peak received interference power constraint, an upper limit to the SU transmit power constraint is also considered. We derive a closed-form expression for the mean SU capacity under this scenario. Due to imperfect CSI, the SU can not always satisfy the received peak interference power constraint at the PU and has to back off its transmit power. The resulting capacity loss for the SU is quantified using the cumulative distribution function of the interference at the PU. Additionally, we investigate the impact of CSI quantization. Our results are confirmed through comparison with simulations.

Item Type: Book Section
ISBN: 9781424441471 (print) 9781424441488 (online)
Additional Information:

Proceedings of a meeting held 30 November - 4 December 2009, Honolulu, Hawaii, USA

Uncontrolled Keywords: ResPubID17960, channel capacity, cognitive radio, channel state information, imperfect channel knowledge, secondary users, primary users
Subjects: Historical > Faculty/School/Research Centre/Department > Centre for Telecommunications and Micro-Electronics (CTME)
Current > FOR Classification > 1005 Communications Technologies
Historical > SEO Classification > 8901 Communication Networks and Services
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Depositing User: . VUIR
Date Deposited: 09 Jan 2014 22:50
Last Modified: 09 Jan 2014 22:52
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Citations in Scopus: 1 - View on Scopus

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