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Computer Science > Information Theory

arXiv:2108.03202 (cs)
[Submitted on 6 Aug 2021]

Title:Beam-Slicing for Jammer Mitigation in mmWave Massive MU-MIMO

Authors:Oscar Castañeda, Gian Marti, Christoph Studer
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Abstract:Millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) technology promises unprecedentedly high data rates for next-generation wireless systems. To be practically viable, mmWave massive MU-MIMO basestations (BS) must (i) rely on low-resolution data-conversion and (ii) be robust to jammer interference. This paper considers the problem of mitigating the impact of a permanently transmitting jammer during uplink transmission to a BS equipped with low-resolution analog-to-digital converters (ADCs). To this end, we propose SNIPS, short for Soft-Nulling of Interferers with Partitions in Space. SNIPS combines beam-slicing---a localized, analog spatial transform that focuses the jammer energy onto a subset of all ADCs---together with a soft-nulling data detector that exploits knowledge of which ADCs are contaminated by jammer interference. Our numerical results show that SNIPS is able to successfully serve 65% of the user equipments (UEs) for scenarios in which a conventional antenna-domain soft-nulling data detector is only able to serve 2% of the UEs.
Comments: To be presented at the IEEE International Workshop on Signal Processing Systems (SiPS) 2021
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2108.03202 [cs.IT]
  (or arXiv:2108.03202v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2108.03202

Submission history

From: Oscar Castañeda [view email]
[v1] Fri, 6 Aug 2021 16:53:30 UTC (237 KB)
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