Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Marco Mezzavilla"'
Autor:
Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan, Arjuna Madanayake, Satheesh Bojja Venkatakrishnan, Gregory Hellbourg, Monisha Ghosh, Hamed Rahmani, Aditya Dhananjay
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 2058-2075 (2024)
The upper mid-band – approximately from 7 to 24 GHz — has recently attracted considerable interest for new cellular services. This frequency range has vastly more spectrum than the highly congested bands below 7 GHz while offering more favorable
Externí odkaz:
https://doaj.org/article/812980f09b66408480038667eb2bdf41
Autor:
Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd E. Hudson, William Seiple, Yi Fang, Sundeep Rangan, Yao Wang, John-Ross Rizzo
Publikováno v:
IEEE Access, Vol 10, Pp 29612-29632 (2022)
Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are computationally demanding, there has been a growing interest in leveraging
Externí odkaz:
https://doaj.org/article/717b542663c24ed68da303da38d72e2e
Autor:
Marco Mezzavilla, Michele Polese, Andrea Zanella, Aditya Dhananjay, Sundeep Rangan, Coitt Kessler, Theodore S. Rappaport, Michele Zorzi
Publikováno v:
IEEE Access, Vol 6, Pp 316-329 (2018)
Advanced public safety communication (PSC) services call for fast, reliable and low-latency communication technologies, capable of supporting diverse communication modes (aerial, unmanned, vehicular, and peer-to-peer), fast channel dynamics, and ad h
Externí odkaz:
https://doaj.org/article/48076463ee294946a8d4aea0a6f86a09
Autor:
William Xia, Sundeep Rangan, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, Vasilii Semkin, Giuseppe Loianno
Publikováno v:
Xia, W, Rangan, S, Mezzavilla, M, Lozano, A, Geraci, G, Semkin, V & Loianno, G 2022, ' Generative Neural Network Channel Modeling for Millimeter-Wave UAV Communication ', IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9417-9431 . https://doi.org/10.1109/TWC.2022.3176480
The millimeter wave bands are being increasingly considered for wireless communication to unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel models that describe the distribution of constituent parameters in scenari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::547f2436c3a7fb8b8a1a1bc83036f720
https://doi.org/10.1109/TWC.2022.3176480
https://doi.org/10.1109/TWC.2022.3176480
Publikováno v:
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC).
Site-specific radio frequency (RF) propagation prediction increasingly relies on models built from visual data such as cameras and LIDAR sensors. When operating in dynamic settings, the environment may only be partially observed. This paper introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76a3eed6fe2708d7b1bd59466a8de23d
https://doi.org/10.1109/spawc51304.2022.9833929
https://doi.org/10.1109/spawc51304.2022.9833929
Publikováno v:
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bf50eaad8d3a46f90428015ab8b7ad
https://doi.org/10.1109/spawc51304.2022.9833962
https://doi.org/10.1109/spawc51304.2022.9833962
Publikováno v:
IEEE Communications Magazine. 58:55-61
Reliable data connectivity is vital for the ever increasingly intelligent, automated, and ubiquitous digital world. Mobile networks are the data highways and, in a fully connected, intelligent digital world, will need to connect everything, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7f1f7b21eedbdd12a3c241fb7cd56c5
https://doi.org/10.1109/mcom.001.1900411
https://doi.org/10.1109/mcom.001.1900411
Autor:
Vasilii Semkin, Aki Karttunen, Seongjoon Kang, Jukka Talvitie, Marco Mezzavilla, Sundeep Rangan, Mikko Valkama
Publikováno v:
Scopus-Elsevier
Semkin, V, Karttunen, A, Kang, S, Talvitie, J, Mezzavilla, M, Rangan, S & Valkama, M 2022, What Positioning Accuracy is Sufficient for Reliable mmWave A2G Channel Measurements? in 2022 16th European Conference on Antennas and Propagation, EuCAP 2022 . IEEE Institute of Electrical and Electronic Engineers, 16th European Conference on Antennas and Propagation, EuCAP 2022, Madrid, Spain, 27/03/22 . https://doi.org/10.23919/EuCAP53622.2022.9768979
Semkin, V, Karttunen, A, Kang, S, Talvitie, J, Mezzavilla, M, Rangan, S & Valkama, M 2022, What Positioning Accuracy is Sufficient for Reliable mmWave A2G Channel Measurements? in 2022 16th European Conference on Antennas and Propagation, EuCAP 2022 . IEEE Institute of Electrical and Electronic Engineers, 16th European Conference on Antennas and Propagation, EuCAP 2022, Madrid, Spain, 27/03/22 . https://doi.org/10.23919/EuCAP53622.2022.9768979
In this work, we investigate the significance of position accuracy for unmanned aerial vehicle (UAV) during millimeter-wave (mmWave) channel measurements. The studies are performed at 28 and 60 GHz frequencies. First, we study the effect of the error
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32676b37ddd29df9a57894eb65513e30
https://trepo.tuni.fi/handle/10024/141604
https://trepo.tuni.fi/handle/10024/141604
Autor:
Panagiotis Skrimponis, Seongjoon Kang, Abbas Khalili, Wonho Lee, Navid Hosseinzadeh, Marco Mezzavilla, Elza Erkip, Mark J. W. Rodwell, James F. Buckwalter, Sundeep Rangan
Power consumption is a key challenge in millimeter wave (mmWave) receiver front-ends, due to the need to support high dimensional antenna arrays at wide bandwidths. Recently, there has been considerable work in developing low-power front-ends, often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef9228fb41229794652520b15fd41a6d
http://arxiv.org/abs/2201.00229
http://arxiv.org/abs/2201.00229
Autor:
Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd E. Hudson, William Seiple, Yi Fang, Sundeep Rangan, Yao Wang, John-Ross Rizzo
Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are computationally demanding, there has been growing interest in leveraging fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b962b91ce24415d15ed6e905133078b6
http://arxiv.org/abs/2112.13194
http://arxiv.org/abs/2112.13194