Abstract
Hardware non-idealities are among the main performance restrictions for upcoming wireless communication systems. Asymmetric hardware distortions (HWD) happen when the impairments of the I/Q branches are correlated or imbalanced, which in turn generate improper additive interference at the receiver side. When the interference is improper, as well as in other interference-limited scenarios, improper Gaussian signaling (IGS) has been shown to provide rate and/or power efficiency benefits. In this paper, we investigate the rate benefits of IGS in a two-user interference channel (IC) with additive asymmetric HWD when interference is treated as noise. We propose two iterative algorithms to optimize the parameters of the improper transmit signals. We first rewrite the rate region as an pseudosignal-to-interference-plus-noise-ratio (PSINR) region and employ majorization minimization and fractional programming to find a suboptimal solution for the achievable user rates. Then, we propose a simplified algorithm based on a separate optimization of the powers and complementary variances of the users, which exhibits lower computational complexity. We show that IGS can improve the performance of the two-user IC with additive HWD. Our proposed algorithms outperform proper Gaussian signaling and competing IGS algorithms in the literature that do not consider asymmetric HWD.
Highlights
One of the targets of 5G is reaching a data rate more than 1000 times greater than the data rate of current cellular systems [1]
Our results show that improper Gaussian signaling (IGS) enlarges the achievable rate of the two-user interference channel (IC) in the presence of additive asymmetric hardware distortions (HWD), and that there is a significant performance improvement by IGS for highly asymmetric HWD noise
We define the signalto-noise ratio (SNR) as the ratio of the power budget to wσ2it,hiP.eG.,SSaNnRd=theσPj2o.inWt vearcioanmcpeaarnedocuormpprloepmoesendtaraylgvoarriitahnmces optimization algorithm in [15] for IGS, which is designed for ideal devices
Summary
One of the targets of 5G is reaching a data rate more than 1000 times greater than the data rate of current cellular systems [1]. In [11], the authors investigated the effect of IGS in a relay network with additive asymmetric HWD They maximized the achievable rate of the relay network by optimizing the complementary variance of the transmitted signal in the source and relay nodes. To this end, we rewrite the rate region as a pseudo-signal-to-interferenceplus-noise-ratio (PSINR) region and employ sequential optimization approaches to solve the resulting problems. Our results show that IGS enlarges the achievable rate of the two-user IC in the presence of additive asymmetric HWD, and that there is a significant performance improvement by IGS for highly asymmetric HWD noise Both of our proposed algorithms outperform existing PGS and other existing IGS algorithms.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
