Impact of the interference correlation on the decoding error statistics

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Title: Impact of the interference correlation on the decoding error statistics
Authors: Rosas De Andraca, F
Manolakis, K
Oberli, C
Azari, MM
Verhelst, M
Pollin, S
Item Type: Conference Paper
Abstract: Scenarios where interference is correlated with useful signals are often met in communications systems. Interestingly, even though uncorrelated interference mitigation has been extensively studied by the literature, there is still lack of insight into how correlation can affects information transfer processes. In this paper we formally address this issue and show how a positive correlation between the interference and useful signal power introduces a non-intuitive increase in the diversity gain, improving the error statistics with respect to the uncorrelated case. In contrast, the diversity gain decreases under negative correlation, degrading the system performance. These findings are confirmed by simulations for scenarios of practical relevance.
Issue Date: 16-Apr-2018
Date of Acceptance: 7-Jul-2017
URI: http://hdl.handle.net/10044/1/64231
DOI: https://dx.doi.org/10.1109/ACSSC.2017.8335523
ISSN: 2576-2303
Publisher: IEEE
Journal / Book Title: 2017 51st Asilomar Conference on Signals, Systems, and Computers
Copyright Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Conference Name: 51th Asilomar Conference on Signals, Systems, and Computers
Publication Status: Published
Start Date: 2017-10-29
Finish Date: 2017-11-01
Conference Place: Monterrey, USA
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences



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