Marco E.G.V. Cattaneo
Resource-efficient fusion with pre-compensated transmissions for cooperative spectrum sensing
Cattaneo, Marco E.G.V.; Aquino, Guilherme Pedro; Guimarães, Dayan Adionel
Guilherme Pedro Aquino
Dayan Adionel Guimarães
© 2015 by the authors; licensee MDPI, Basel, Switzerland. Recently, a novel fusion scheme for cooperative spectrum sensing was proposed for saving resources in the control channel. Secondary users (SUs) simultaneously report their decisions using binary modulations with the same carrier frequencies. The transmitted symbols add incoherently at the fusion centre (FC), leading to a larger set of symbols in which a subset is associated with the presence of the primary user (PU) signal, and another subset is associated with the absence of such a signal. The decision criterion applied for discriminating these subsets works under the assumption that the channel gains are known at the FC. In this paper, we propose a new simultaneous transmission and decision scheme in which the task of channel estimation is shifted from the FC to the SUs, without the need for feeding-back of the estimates to the FC. The estimates are used at the SUs to pre-compensate for the reporting channel phase rotations and to partially compensate for the channel gains. This partial compensation is the result of signal clipping for peak-to-average power ratio (PAPR) control. We show, analytically and with simulations, that this new scheme can produce large performance improvements, yet reduces the implementation complexity when compared with the original one.
|Journal Article Type||Article|
|Publication Date||May 8, 2015|
|Peer Reviewed||Peer Reviewed|
|Institution Citation||Cattaneo, M. E., Aquino, G. P., & Guimarães, D. A. (2015). Resource-efficient fusion with pre-compensated transmissions for cooperative spectrum sensing. Sensors, 15(5), 10891-10908. doi:10.3390/s150510891|
|Keywords||Cognitive radio, Cooperative spectrum sensing, Decision fusion, Channel inversion, Crest factor, Clipping|
|Copyright Statement||©2015 The authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).|
|Additional Information||Copy of article first published in: Sensors, 2015, v.15, issue 5.|
©2015 The authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).