@inproceedings{1d5adf85aff84719aba7c577f329eeb6,
title = "On Array Geometry and Self-Interference in Full-Duplex Massive MIMO Communications",
abstract = "This paper studies the role of the joint transmit-receive antenna array geometry in shaping the self-interference (SI) channel in full-duplex communications. We consider a simple spherical wave SI model and two prototypical linear array geometries with uniformly spaced transmit and receive antennas. We show that the resulting SI channel matrix has a regular (Toeplitz) structure in both of these cases. However, the number of significant singular values of these matricesan indication of the severity of SI-can be markedly different. We demonstrate that both reduced SI and high angular resolution can be obtained by employing suitable sparse array configurations that fully leverage the available joint transmit-receive array aperture without suffering from angular ambiguities. Numerical electromagnetic simulations also suggest that the worst-case SI of such sparse arrays need not increase-but can actually decrease-with the number of antennas. Our findings provide preliminary insight into the extent to which the array geometry alone can mitigate SI in full-duplex massive MIMO communications systems employing a large number of antennas.",
author = "Robin Rajam{\"a}ki and Risto Wichman",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; Asilomar Conference on Signals, Systems and Computers, ACSSC ; Conference date: 29-10-2023 Through 01-11-2023",
year = "2023",
month = apr,
day = "1",
doi = "10.1109/IEEECONF59524.2023.10476859",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE",
pages = "122--126",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023",
address = "United States",
}