Performance Investigation of Interference Alignment Techniques for Underlay MIMO Cognitive Radio Networks

Reba, P (2018) Performance Investigation of Interference Alignment Techniques for Underlay MIMO Cognitive Radio Networks. In: 2018 15th IEEE India Council International Conference (INDICON), Coimbatore, India.

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Abstract

Underlay cognitive radio network allows secondary users to use the primary user spectrum as long as the interference caused by the secondary user is below a certain threshold. Interference Alignment (IA) algorithms were proposed to mitigate the interference thereby enabling simultaneous transmissions from multiple users over same frequency band. This paper presents the comparison of the performances of four different IA algorithms: Minimum leakage Interference Alignment, Maximum SINR Interference alignment, Partial Interference Alignment considering secondary users and Partial Interference Alignment not considering secondary users, in underlay Cognitive radio scenario.

Item Type: Conference or Workshop Item (Paper)
Subjects: E Electronics and Communication Engineering > Communication Systems
E Electronics and Communication Engineering > Signal Processing
Divisions: Electronics and Communication Engineering
Depositing User: Users 5 not found.
Date Deposited: 25 Mar 2024 11:12
Last Modified: 25 Mar 2024 11:12
URI: https://ir.psgitech.ac.in/id/eprint/122

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