In this paper we consider a massive multiple-input multipleoutput (MIMO) communication system using 5G New Radiocompliant multiple access, which is to co-exist with a radar system using the same frequency band. Building upon a recently proposed system model taking into account the reverberation (clutter) produced by the radar system at the massive MIMO receiver, we provide a theoretical analysis, in terms of a lower bound on the achievable uplink (UL) spectral efficiency (SE) and in terms of the mutual information of the cellular massive MIMO system, showing that for large number of antennas at the base station the radar clutter effects can be suppressed. Simulation results confirm the paper theoretical findings.

On Massive MIMO Cellular Systems Resilience to Radar Interference / Buzzi, S.; Drandrea, C.; Lops, M.. - 2019-:(2019), pp. 7795-7799. (Intervento presentato al convegno 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 tenutosi a Brighton Conference Centre, gbr nel 2019) [10.1109/ICASSP.2019.8683700].

On Massive MIMO Cellular Systems Resilience to Radar Interference

Lops M.
2019

Abstract

In this paper we consider a massive multiple-input multipleoutput (MIMO) communication system using 5G New Radiocompliant multiple access, which is to co-exist with a radar system using the same frequency band. Building upon a recently proposed system model taking into account the reverberation (clutter) produced by the radar system at the massive MIMO receiver, we provide a theoretical analysis, in terms of a lower bound on the achievable uplink (UL) spectral efficiency (SE) and in terms of the mutual information of the cellular massive MIMO system, showing that for large number of antennas at the base station the radar clutter effects can be suppressed. Simulation results confirm the paper theoretical findings.
2019
978-1-4799-8131-1
On Massive MIMO Cellular Systems Resilience to Radar Interference / Buzzi, S.; Drandrea, C.; Lops, M.. - 2019-:(2019), pp. 7795-7799. (Intervento presentato al convegno 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 tenutosi a Brighton Conference Centre, gbr nel 2019) [10.1109/ICASSP.2019.8683700].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/762893
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