Selective Interference Alignment for MIMO Cognitive Femtocell Network

M. Antony Arul Anand, C. R. Jerin Sajeev

Abstract: The cognitive users sense their environment to determine the receivers they are interfering with, and adapt to it by designing their precoders using interference alignment. To sense the spectrum using cognitive radios and finds the data transmission in the Femtocell Networks. Align the interference from the Primary users and Secondary users. A cross-tier interference management solution for coexisting two-tier networks by exploiting cognition and coordination between tiers via the use of cognitive radios is presented. This approach chooses the set of users to be aligned at each receiver as a subset of the cross tier interferers, hence is termed selective IA. The proposed solution includes identification of the subspace in which cross-tier interference signals would be aligned followed by a distributed algorithm to identify the pre coders needed at the selected interferers.

Keywords: Interference Alignment, MIMO, Femtocell.

Title: Selective Interference Alignment for MIMO Cognitive Femtocell Network

Author:  M. Antony Arul Anand, C. R. Jerin Sajeev

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Research Publish Journals

Vol. 3, Issue 1, January 2015 - March 2015

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Selective Interference Alignment for MIMO Cognitive Femtocell Network by M. Antony Arul Anand, C. R. Jerin Sajeev