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Title: Hybrid Jammer Mitigation for All-Digital mmWave Massive MU-MIMO
Low-resolution analog-to-digital converters (ADCs) simplify the design of millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) basestations, but increase vulnerability to jamming attacks. As a remedy, we propose HERMIT (short for Hybrid jammER MITigation), a method that combines a hardware-friendly adaptive analog transform with a corresponding digital equalizer: The analog transform removes most of the jammer’s energy prior to data conversion; the digital equalizer suppresses jammer residues while detecting the legitimate transmit data. We provide theoretical results that establish the optimal analog transform as a function of the user equipments’ and the jammer’s channels. Using simulations with mmWave channel models, we demonstrate the superiority of HERMIT compared both to purely digital jammer mitigation as well as to a recent hybrid method that mitigates jammer interference with a nonadaptive analog transform.  more » « less
Award ID(s):
1717559
NSF-PAR ID:
10434367
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
55th Asilomar Conference on Signals, Systems, and Computers
Page Range / eLocation ID:
93 to 99
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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