Improper Gaussian signaling for the K-user MIMO interference channels with hardware impairments

Abstract: This paper investigates the performance of improper Gaussian signaling (IGS) for the K-user multiple-input, multiple-output (MIMO) interference channel (IC) with hardware impairments (HWI). HWI may arise due to imperfections in the devices like I/Q imbalance, phase noise, etc. With I/Q imbalance, the received signal is a widely linear transformation of the transmitted signal and noise. Thus, the effective noise at the receivers becomes improper, which means that its real and imaginary parts are correlated and/or have unequal powers. IGS can improve system performance with improper noise and/or improper interference. In this paper, we study the benefits of IGS for this scenario in terms of two performance metrics: achievable rate and energy efficiency (EE). We consider the rate region, the sum-rate, the EE region and the global EE optimization problems to fully evaluate the IGS performance. To solve these non-convex problems, we employ an optimization framework based on majorization-minimization algorithms, which allow us to obtain a stationary point of any optimization problem in which either the objective function and/or constraints are linear functions of rates. Our numerical results show that IGS can significantly improve the performance of the K-user MIMO IC with HWI and I/Q imbalance, where its benefits increase with the number of users, K, and the imbalance level, and decrease with the number of antennas.

 Autoría: Soleymani M., Santamaria I., Schreier P.J.,

 Fuente: IEEE Transactions on Vehicular Technology, 2020, 69(10), 11632-11645

Editorial: Institute of Electrical and Electronics Engineers, Inc.

 Fecha de publicación: 01/10/2020

Nº de páginas: 13

Tipo de publicación: Artículo de Revista

DOI: 10.1109/TVT.2020.3015558

ISSN: 0018-9545,1939-9359

Proyecto español: TEC2016-75067-C4-4-R ; PID2019- 104958RB-C43

Url de la publicación: https://doi.org/10.1109/TVT.2020.3015558