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Optimal Binary Power Control for Underlay CR With Different Interference Constraints and Impact of Channel Estimation Errors
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology. Indian Institute Science, India.
Indian Institute Science, India.
2014 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 62, no 11, 3753-3764 p.Article in journal (Refereed) Published
Abstract [en]

Adapting the power of secondary users (SUs) while adhering to constraints on the interference caused to primary receivers (PRxs) is a critical issue in underlay cognitive radio (CR). This adaptation is driven by the interference and transmit power constraints imposed on the secondary transmitter (STx). Its performance also depends on the quality of channel state information (CSI) available at the STx of the links from the STx to the secondary receiver and to the PRxs. For a system in which an STx is subject to an average interference constraint or an interference outage probability constraint at each of the PRxs, we derive novel symbol error probability (SEP)-optimal, practically motivated binary transmit power control policies. As a reference, we also present the corresponding SEP-optimal continuous transmit power control policies for one PRx. We then analyze the robustness of the optimal policies when the STx knows noisy channel estimates of the links between the SU and the PRxs. Altogether, our work develops a holistic understanding of the critical role played by different transmit and interference constraints in driving power control in underlay CR and the impact of CSI on its performance.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2014. Vol. 62, no 11, 3753-3764 p.
Keyword [en]
Cognitive radio; underlay; fading; interference; estimation errors; symbol error probability; power control
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-113062DOI: 10.1109/TCOMM.2014.2363179ISI: 000345512500003OAI: diva2:778269

Funding Agencies|ANRC; Broadcom Foundation, USA

Available from: 2015-01-09 Created: 2015-01-08 Last updated: 2015-01-20

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Kashyap, Salil
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