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.
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A 28GHz Hybrid-Beamforming Transmitter Array Supporting Concurrent Dual Data Steams and Spatial Notch Steering for 5G MIMO
Spatial multiplexing, or multi-user MIMO, can improve the communication throughput by simultaneously supporting multiple spatially non-collocated data streams. Most multi-user MIMO TRXs at GHz are based on digital beamforming. However, as the data rate of each user approaches multi-Gb/s at mmWave, performing dynamic beamforming weights calculation in digital and high-speed digital-to-analog conversion faces a significant energy efficiency bottleneck for large-scale mmWave antenna arrays. Alternatively, hybrid beamforming can support a handful of concurrent data streams by combining analog beamforming with digital precoding. Although hybrid beamforming loses degrees-of-freedom compared to all-digital processing, it reduces digital computation complexity and the number of digital-to-analog conversion chains, resulting in greatly enhanced energy efficiency.
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- Award ID(s):
- 1956297
- NSF-PAR ID:
- 10277017
- Date Published:
- Journal Name:
- 2021 IEEE Custom Integrated Circuits Conference (CICC)
- Page Range / eLocation ID:
- 1 to 2
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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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.more » « less
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/cicc51472.2021.9431464
