Impact of the interference correlation on the decoding error statistics
File(s)
Accepted version
Author(s)
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.
Date Issued
2018-04-16
Date Acceptance
2017-07-07
Citation
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2018
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.
Source
51th Asilomar Conference on Signals, Systems, and Computers
Publication Status
Published
Start Date
2017-10-29
Finish Date
2017-11-01
Coverage Spatial
Monterrey, USA