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Luca Sanguinetti
Luca Sanguinetti
Full Professor, Pisa University, Italy
Verified email at unipi.it - Homepage
Title
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Cited by
Year
Massive MIMO networks: Spectral, energy, and hardware efficiency
E Björnson, J Hoydis, L Sanguinetti
Foundations and Trends® in Signal Processing 11 (3-4), 154-655, 2017
20062017
Optimal design of energy-efficient multi-user MIMO systems: Is massive MIMO the answer?
E Björnson, L Sanguinetti, J Hoydis, M Debbah
IEEE Transactions on wireless communications 14 (6), 3059-3075, 2015
9152015
Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
E Björnson, L Sanguinetti, H Wymeersch, J Hoydis, TL Marzetta
Digital Signal Processing 94, 3-20, 2019
8242019
Making cell-free massive MIMO competitive with MMSE processing and centralized implementation
E Björnson, L Sanguinetti
IEEE Transactions on Wireless Communications 19 (1), 77-90, 2019
7902019
Scalable cell-free massive MIMO systems
E Björnson, L Sanguinetti
IEEE Transactions on Communications 68 (7), 4247-4261, 2020
7512020
Foundations of user-centric cell-free massive MIMO
ÖT Demir, E Björnson, L Sanguinetti
Foundations and Trends® in Signal Processing 14 (3-4), 162-472, 2021
5602021
Massive MIMO has unlimited capacity
E Björnson, J Hoydis, L Sanguinetti
IEEE Transactions on Wireless Communications 17 (1), 574-590, 2018
4812018
Rayleigh fading modeling and channel hardening for reconfigurable intelligent surfaces
E Björnson, L Sanguinetti
IEEE Wireless Communications Letters 10 (4), 830-834, 2020
4592020
Reconfigurable intelligent surfaces: A signal processing perspective with wireless applications
E Björnson, H Wymeersch, B Matthiesen, P Popovski, L Sanguinetti, ...
IEEE Signal Processing Magazine 39 (2), 135-158, 2022
4082022
Power scaling laws and near-field behaviors of massive MIMO and intelligent reflecting surfaces
E Björnson, L Sanguinetti
IEEE Open Journal of the Communications Society 1, 1306-1324, 2020
3932020
Toward massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination
L Sanguinetti, E Björnson, J Hoydis
IEEE Transactions on Communications 68 (1), 232-257, 2019
3532019
Energy-efficient power control: A look at 5G wireless technologies
A Zappone, L Sanguinetti, G Bacci, E Jorswieck, M Debbah
IEEE Transactions on Signal Processing 64 (7), 1668-1683, 2015
2972015
Globally optimal energy-efficient power control and receiver design in wireless networks
A Zappone, E Björnson, L Sanguinetti, E Jorswieck
IEEE Transactions on Signal Processing 65 (11), 2844-2859, 2017
2562017
Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer?
E Björnson, L Sanguinetti, J Hoydis, M Debbah
2014 IEEE wireless communications and networking conference (WCNC), 242-247, 2014
2562014
Deploying dense networks for maximal energy efficiency: Small cells meet massive MIMO
E Björnson, L Sanguinetti, M Kountouris
IEEE Journal on Selected Areas in Communications 34 (4), 832-847, 2016
2442016
A tutorial on the optimization of amplify-and-forward MIMO relay systems
L Sanguinetti, AA D'Amico, Y Rong
IEEE Journal on Selected Areas in Communications 30 (8), 1331-1346, 2012
2372012
Spatially-stationary model for holographic MIMO small-scale fading
A Pizzo, TL Marzetta, L Sanguinetti
IEEE Journal on Selected Areas in Communications 38 (9), 1964-1979, 2020
2102020
A primer on near-field beamforming for arrays and reconfigurable intelligent surfaces
E Björnson, ÖT Demir, L Sanguinetti
2021 55th Asilomar Conference on Signals, Systems, and Computers, 105-112, 2021
1812021
Deep learning power allocation in massive MIMO
L Sanguinetti, A Zappone, M Debbah
2018 52nd Asilomar conference on signals, systems, and computers, 1257-1261, 2018
1622018
Fourier plane-wave series expansion for holographic MIMO communications
A Pizzo, L Sanguinetti, TL Marzetta
IEEE Transactions on Wireless Communications 21 (9), 6890-6905, 2022
1512022
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