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Improper Gaussian Signaling for Hardware Impaired Multihop Full-Duplex Relaying Systems
Author(s) -
Sidrah Javed,
Osama Amin,
Basem Shihada,
MohamedSlim Alouini
Publication year - 2018
Publication title -
ieee transactions on communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.468
H-Index - 214
eISSN - 1558-0857
pISSN - 0090-6778
DOI - 10.1109/tcomm.2018.2884986
Subject(s) - computer science , relay , gaussian , interference (communication) , degradation (telecommunications) , signal to noise ratio (imaging) , real time computing , computer network , electronic engineering , telecommunications , engineering , physics , channel (broadcasting) , power (physics) , quantum mechanics
In this paper, we analyze the performance degradation of a multi-hop decode-and-forward full-duplex relaying system caused by the residual self-interference (RSI) and hardware distortions (HWD) imposed by the FDR operation and imperfect hardware, respectively. In addition, we study the benefits of employing improper Gaussian signaling (IGS) in the MH-FDR system. Different from the traditional symmetric signaling scheme, i.e., proper Gaussian signaling (PGS), IGS has non-zero pseudo-variance that can limit the impact of RSI and HWD in the MH-FDR system. To evaluate the system performance gain using IGS, first we express the end-to-end achievable rate of the MH system as the minimum rate supported by all participating links. Then, we optimize the pseudo-variance of all participating transmitters, including source and relays to compensate the interference impact and improve the end-to-end achievable rate. We propose two network optimization schemes based on the system characteristics, i.e., joint optimization framework and distributed optimization scenario. Interestingly, IGS-based scheme outperforms its counterpart PGS-based scheme, especially at higher interference-to-noise ratio. Our findings reveal that using IGS in single-user detection systems that suffer from both RSI and HWD can effectively mitigate the degradation in the achievable rate performance.

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