Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Damiano Badini"'
Publikováno v:
IEEE Access, Vol 9, Pp 95775-95790 (2021)
Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves/sub-THz is a fundamental, despite challenging, prerequisite for an efficient design of hybrid MIMO precoding/combining. Most works propose sequential sear
Externí odkaz:
https://doaj.org/article/6c04c2e05f75474ab072db2a3a280236
Autor:
Silvia Mura, Marouan Mizmizi, Damiano Badini, Roberto Flamini, Christian Mazzucco, Umberto Spagnolini
Publikováno v:
2023 17th European Conference on Antennas and Propagation (EuCAP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::889f25e59d1250444f46798d8d510ea7
https://doi.org/10.23919/eucap57121.2023.10132983
https://doi.org/10.23919/eucap57121.2023.10132983
Publikováno v:
IEEE Access, Vol 9, Pp 95775-95790 (2021)
Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves/sub-THz is a fundamental, despite challenging, prerequisite for an efficient design of hybrid MIMO precoding/combining. Most works propose sequential sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e76fba03dde23759d08eee6c82f9ee2
https://ieeexplore.ieee.org/document/9475519/
https://ieeexplore.ieee.org/document/9475519/
Autor:
Lorenzo Bezzetto, Luca Rinaldi, Francesco Linsalata, Dario Tagliaferri, Marouan Mizmizi, Maurizio Magarini, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8635de9feabac7a9e81d6418294e0c
https://hdl.handle.net/11311/1224774
https://hdl.handle.net/11311/1224774
Publikováno v:
MSWiM
Machine learning is a highly promising tool to design the physical layer of wireless communication systems, but its scaling properties for this purpose have not been widely studied. Machine learning algorithms are typically evaluated to learn SISO co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa1f7f22f0ba7d29de434e77f50e898f
https://doi.org/10.1145/3479239.3485672
https://doi.org/10.1145/3479239.3485672
Machine learning is a highly promising tool to design the physical layer of wireless communication systems, but the training usually requires an explicit model of the signal distortion as it undergoes transmission over a wireless channel. As data rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc5060d611ef60880b68c22ef616546
https://hdl.handle.net/20.500.12761/1528
https://hdl.handle.net/20.500.12761/1528
Publikováno v:
SPAWC
Channel knowledge is a fundamental requirement for accurate analog-digital beamforming in hybrid MIMO systems. Conventional channel estimation techniques, e.g., unconstrained maximum likelihood, cannot be used to directly estimate the full MIMO chann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::802f292032565a14f3f232f2f901cd8e
https://doi.org/10.1109/spawc51858.2021.9593123
https://doi.org/10.1109/spawc51858.2021.9593123
Autor:
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Damiano Badini, Christian Mazzucco, Matteo Matteucci, Umberto Spagnolini
In the emerging high mobility Vehicle-to-Everything (V2X) communications using millimeter Wave (mmWave) and sub-THz, Multiple-Input Multiple-Output (MIMO) channel estimation is an extremely challenging task. At mmWaves/sub-THz frequencies, MIMO chann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d909d2facf0c6de18b2dabc65362824c
http://arxiv.org/abs/2108.13831
http://arxiv.org/abs/2108.13831
Autor:
Sergi Caelles, Dario Pilori, Damiano Badini, Peter J. Winzer, Stephen Corteselli, Haoshuo Chen, Nicolas K. Fontaine, Sebastian Randel, Sethumadhavan Chandrasekhar, J. Gripp, Roland Ryf
Publikováno v:
2015 IEEE Photonics Conference (IPC).
We present the first real-time transmission experiment over a 60-km-long fiber supporting six coupled spatial and polarization modes, enabled by a custom receiver board and an FPGA-implementation of an unconstrained adaptive frequency-domain MIMO equ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c53fb89ee5f84353d05af9668a5c3a4
https://doi.org/10.1109/ipcon.2015.7323761
https://doi.org/10.1109/ipcon.2015.7323761