Hybrid Jammer Mitigation for All-Digital mmWave Massive MU-MIMO

TL;DR

HERMIT is a hybrid approach that combines adaptive analog transforms and digital equalization to effectively mitigate jamming in low-resolution mmWave massive MU-MIMO systems, enhancing robustness against interference.

Contribution

The paper introduces HERMIT, a novel hybrid jammer mitigation technique that optimally combines adaptive analog transforms with digital processing for mmWave MU-MIMO.

Findings

HERMIT outperforms purely digital mitigation methods.

HERMIT surpasses nonadaptive hybrid approaches.

Theoretical analysis confirms optimal analog transform design.

Abstract

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.