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Proactive Cross-channel Gain Estimation for Spectrum Sharing in Cognitive Radio
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-5407-0835
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2016 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. PP, no 99, 7558189Article in journal (Refereed) Published
Abstract [en]

In an underlay cognitive radio network, the crosschannel gain from a cognitive transmitter (CT) to a primary receiver (PR) is crucial for spectrum sharing. By exploiting the relaying capability of the CT, we propose a proactive estimation scheme for the cross-channel gain. Specifically, the CT proactively acts as a full-duplex amplify-and-forward (AF) relay for primary transceivers to trigger the power adaption of a primary transmitter (PT). By carefully designing the relay signal, the CT is able to obtain an estimation of the cross-channel gain by observing the power adaption. To demonstrate the accuracy of the estimation, we analytically characterize both an upper bound and a lower bound of the estimation performance. Furthermore, we study the impact of CT's relaying on the primary transmission and observe that the impact is related to the CT's location. By introducing a factor φ (0 ≤ φ ≤ 1) to denote the probability that the CT's relaying improves the primary transmission instead of causes interference, we design the CT location as a function of φ. Numerical results show that the estimation error of the proactive estimation scheme can be as small as 1.7% with success estimation probability around 91%. By comparing with the state of art, we show the advantages of the proposed estimator.

Place, publisher, year, edition, pages
IEEE, 2016. Vol. PP, no 99, 7558189
Keyword [en]
channel gain estimation, Cognitive radio, full-duplex, relaying, spectrum sharing, Estimation, Radio transceivers, Radio transmission, Transmitters, Amplifyand-forward relay, Estimation performance, Primary transmission, Underlay cognitive radios
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URN: urn:nbn:se:kth:diva-195566DOI: 10.1109/JSAC.2016.2605298ISI: 000386243400020ScopusID: 2-s2.0-84988418365OAI: diva2:1048441

QC 20161121

Available from: 2016-11-21 Created: 2016-11-03 Last updated: 2016-11-21Bibliographically approved

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Xiao, Ming
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