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.
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Mitigation of Jamming Attack in Massive MIMO With One-Bit FBB Sigma-Delta ADCs
We study the uplink performance of a massive multiple-input multiple-output (MIMO) system with one-bit analog to digital converters (ADCs) in the presence of a disruptive jammer. We propose spatial Sigma-Delta (ΣΔ) quantization with an interference cancellation feedback beamformer (FBB ΣΔ) to mitigate the adverse impact of the jammer on the system performance. Then we analyze the performance of this architecture by adopting an appropriate linear model and present a recursive algorithm to calculate the power of the quantization noise. Simulation results show that the spatial FBB ΣΔ architecture can achieve the same symbol error rate as in systems with high-resolution ADCs.
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- PAR ID:
- 10155035
- Date Published:
- Journal Name:
- Proc. 53rd Asilomar Conference on Signals, Systems, and Computers
- Page Range / eLocation ID:
- 1700 to 1704
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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