@conference{10902/35437,
year = {2024},
url = {https://hdl.handle.net/10902/35437},
abstract = {In this paper, we propose a robust algorithm for designing unstructured Grassmannian constellations for noncoherent MIMO communications that accounts for the effect of hardware impairments (HWIs) such as I/Q imbalance (IQI) and carrier frequency offset (CFO). The algorithm uses the minimum diversity product as a cost function to ensure full-diversity constellations. The constellation points in the Grassmannian are optimized to be robust against any value of the HWIs belonging to a given uncertainty set, the values of which are determined by the characteristics of the hardware used. The cost function is optimized by means of a gradient ascent algorithm on the Grassmann manifold. Simulation results suggest that the constellations designed with the robust algorithm show a significant improvement in symbol-error-rate (SER) performance over the HWI-unaware algorithm optimized for ideal devices.},
organization = {This work was supported by Huawei Technologies, Sweden under the project GRASSCOM. The work of D. Cuevas was also partly supported under grant FPU20/03563 funded by Ministerio de Universidades (MIU), Spain. The work of I. Santamaria was also partly supported under grant PID2022-137099NB-C43 (MADDIE) funded by MCIN/AEI /10.13039/501100011033.},
publisher = {Institute of Electrical and Electronics Engineers, Inc.},
publisher = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Republic of Korea, 2024, 9086-9090},
title = {Hardware impairments-aware design of noncoherent grassmannian constellations},
author = {Cuevas Fernández, Diego and Álvarez Vizoso, Javier and Gutiérrez Navarro, Mikel and Santamaría Caballero, Luis Ignacio and Tucek, Vít and Peters, Gunnar},
}