Interference driven linear precoding for cognitive radio downlink

Faheem A. Khan, C. Masouros, T. Ratnarajah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate linear precoding in the downlink of a multiuser multiple-input-single-output (MISO) cognitive radio (CR) system where cognitive users (CUs) share the spectrum with primary users (PUs). In previous studies, linear precoding techniques in CR network aim to limit or completely cancel the interference to the primary users while achieving maximum downlink throughput of the CR sys- tem. Here, we make use of interference energy when the interference between the primary and cognitive systems is mutually constructive on an instantaneous basis. By doing so, the received signal-to-noise ratio (SNR) is enhanced by the signal energy gleaned from the constructive interference. The presented analysis and simulations show that the proposed precoding techniques outperform the conventional techniques, as the CR transmission actively enhances the performance of the primary users through constructive interference while achieving improved performance for its own transmission.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11
PublisherAssociation for Computing Machinery (ACM)
Number of pages5
ISBN (Print)9781450309127
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event4th International Conference on Cognitive Radio and Advanced Spectrum Management - Barcelona, Spain
Duration: 26 Oct 201129 Oct 2011
Conference number: 4

Conference

Conference4th International Conference on Cognitive Radio and Advanced Spectrum Management
Abbreviated titleCogART'11
CountrySpain
CityBarcelona
Period26/10/1129/10/11

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  • Cite this

    Khan, F. A., Masouros, C., & Ratnarajah, T. (2011). Interference driven linear precoding for cognitive radio downlink. In Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11 [37] Association for Computing Machinery (ACM). https://doi.org/10.1145/2093256.2093293