Improper Gaussian signaling in full-duplex relay channels with residual self-interference

Embargo End Date
2018-07-26

Type
Conference Paper

Authors
Gaafar, Mohamed
Khafagy, Mohammad Galal
Amin, Osama
Alouini, Mohamed-Slim

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program

Online Publication Date
2016-07-26

Print Publication Date
2016-05

Date
2016-07-26

Abstract
We study the potential employment of improper Gaussian signaling (IGS) in full-duplex cooperative settings with residual self-interference (RSI). IGS is recently shown to outperform traditional proper Gaussian signaling (PGS) in several interference-limited channel settings. In this work, IGS is employed in an attempt to alleviate the RSI adverse effect in full-duplex relaying (FDR). To this end, we derive a tight upper bound expression for the end-to-end outage probability in terms of the relay signal parameters represented in its power and circularity coefficient. We further show that the derived upper bound is either monotonic or unimodal in the relay's circularity coefficient. This result allows for easily locating the global optimal point using known numerical methods. Based on the analysis, IGS allows FDR systems to operate even with high RSI. It is shown that, while the communication totally fails with PGS as the RSI increases, the IGS outage probability approaches a fixed value that depends on the channel statistics and target rate. The obtained results show that IGS can leverage higher relay power budgets than PGS to improve the performance, meanwhile it relieves its RSI impact via tuning the signal impropriety. © 2016 IEEE.

Citation
Gaafar M, Khafagy MG, Amin O, Alouini M-S (2016) Improper Gaussian signaling in full-duplex relay channels with residual self-interference. 2016 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2016.7511009.

Publisher
IEEE

Journal
2016 IEEE International Conference on Communications (ICC)

Conference/Event Name
2016 IEEE International Conference on Communications, ICC 2016

DOI
10.1109/ICC.2016.7511009

arXiv
1601.00445

Additional Links
http://arxiv.org/pdf/1601.00445

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