Interference suppression and signal detection for LTE and WLAN signals in cognitive radio applications
Vartiainen, Johanna; Vuohtoniemi, Risto; Taparugssanagorn, Attaphongse; Promsuk, Natthanan (2017-09-01)
Vartiainen, J., Vuohtoniemi, R., Taparugssanagorn, A., Promsuk, N. (2017) Interference suppression and signal detection for LTE and WLAN signals in cognitive radio applications. International Journal on Advances in Telecommunications, 10 (1&2), 1-10
2017, © Copyright by authors.Published under agreement with IARIA - www.iaria.org. The author(s) of a manuscript agree that, if the manuscript is accepted for publication in IARIA journals, the published article will be copyrighted using a Creative Commons "Attribution-Non Commercial-Share Alike" license. This license allows the author(s) to retain the copyright, but also allows others to freely copy, distribute, and display the copyrighted work, and derivative works based upon it, under certain specified conditions. Published in this repository with the kind permission of the publisher.
Cognitive radio spectrum is traditionally divided into two spaces. Black space is reserved to primary users transmissions and secondary users are able to transmit in white space. To get more capacity, black space has been divided into black and grey spaces. Grey space includes interfering signals coming from primary and other secondary users, so the need for interference suppression has grown. Novel applications like Internet of Things generate narrowband interfering signals. In this paper, the performance of the forward consecutive mean excision algorithm (FCME) method is studied in the presence of narrowband interfering signals. In addition, the extension of the FCME method called the localization algorithm based on double-thresholding (LAD) method that uses three thresholds is proposed to be used for both narrowband interference suppression and intended signal detection. Both Long Term Evolution (LTE) signal simulations and real-world LTE and Wireless Local Area Network (WLAN) signal measurements were used to verify the usability of the methods in future cognitive radio applications.
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