We consider a bidirectional in-band full-duplex (FD) multiple-input multiple-output (MIMO) system subject to imperfect channel state information (CSI), hardware distortion, and limited analog cancellation capability as well as the self-interference (SI) power requirement at the receiver analog domain so as to avoid the saturation of low noise amplifier (LNA). A novel minimum mean square error (MMSE)-based joint design of digital precoder and combiner for SI cancellation is offered, which combines the well-known gradient projection method and non-monotonicity considered in recent machine-learning literature in order to tackle the non-convexity of the optimization problem formulated in this article. Simulation results illustrate the effectiveness of the proposed SI cancellation algorithm.
@article{arxiv.2006.04079,
title = {Full-Duplex MIMO Systems with Hardware Limitations and Imperfect Channel Estimation},
author = {Hiroki Iimori and Giuseppe Thadeu Freitas de Abreu and Koji Ishibashi},
journal= {arXiv preprint arXiv:2006.04079},
year = {2020}
}
Comments
7 pages, 2 figures, submitted to an IEEE conference