Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Mikko A. Uusitalo"'
Autor:
Sylvaine Kerboeuf, Pawani Porambage, Akshay Jain, Patrik Rugeland, Gustav Wikstrom, Marten Ericson, Dinh Thai Bui, Abdelkader Outtagarts, Heikki Karvonen, Pol Alemany, Raul Munoz, Ricard Vilalta, Panagiotis Botsinis, Aurora Ramos, Josue Castaneda Cisneros, Mehmet Karaca, Christina Karousatou, Sokratis Barmpounakis, Panagiotis Demestichas, Anastasios Zafeiropoulos, Ioannis Tzanettis, Symeon Papavassiliou, Pietro G. Giardina, Giada Landi, Bin Han, Ahmad Nimr, Mikko A. Uusitalo
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3368-3394 (2024)
As the fifth generation (5G) mobile communication systems are commercially deployed, they bring new services, enhance user experiences, and offer various opportunities to different industries. Despite its advancements, 5G encounters several challenge
Externí odkaz:
https://doaj.org/article/eb6d082765df4688b539eb0ca82900ce
Autor:
Mattia Merluzzi, Tamas Borsos, Nandana Rajatheva, Andras A. Benczur, Hamed Farhadi, Taha Yassine, Markus Dominik Mueck, Sokratis Barmpounakis, Emilio Calvanese Strinati, Dilin Dampahalage, Panagiotis Demestichas, Pietro Ducange, Miltiadis C. Filippou, Leonardo Gomes Baltar, Johan Haraldson, Leyli Karacay, Dani Korpi, Vasiliki Lamprousi, Francesco Marcelloni, Jafar Mohammadi, Nuwanthika Rajapaksha, Alessandro Renda, Mikko A. Uusitalo
Publikováno v:
IEEE Access, Vol 11, Pp 65620-65648 (2023)
This paper provides an overview of the most recent advancements and outcomes of the European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) and Machine Learning (ML). We first present a general introduction to the
Externí odkaz:
https://doaj.org/article/57d5497cd7194d2786f17b6fbbf2d66b
Autor:
Mikko A. Uusitalo, Patrik Rugeland, Mauro Renato Boldi, Emilio Calvanese Strinati, Panagiotis Demestichas, Marten Ericson, Gerhard P. Fettweis, Miltiadis C. Filippou, Azeddine Gati, Marie-Helene Hamon, Marco Hoffmann, Matti Latva-Aho, Aarno Parssinen, Bjorn Richerzhagen, Hans Schotten, Tommy Svensson, Gustav Wikstrom, Henk Wymeersch, Volker Ziegler, Yaning Zou
Publikováno v:
IEEE Access, Vol 9, Pp 160004-160020 (2021)
While 5G is being deployed and the economy and society begin to reap the associated benefits, the research and development community starts to focus on the next, 6th Generation (6G) of wireless communications. Although there are papers available in t
Externí odkaz:
https://doaj.org/article/65271ccb26344b7fb3b069698305c037
Autor:
Saeed R. Khosravirad, Olav Tirkkonen, Ulo Parts, Liang Zhou, Dani Korpi, Paolo Baracca, Mikko A. Uusitalo
Publikováno v:
IEEE Network. 36:66-72
Publisher Copyright: © 1986-2012 IEEE. Industrial wireless control systems are mainly designed on the premise of time-sensitive ultra-reliable low-latency communications (URLLC). With the introduction of survival time to the quality of service requi
Publikováno v:
IEICE Transactions on Communications.
Autor:
Teemu Harkonen, Martti Moisio, Harish Viswanathan, Mikko A. Uusitalo, Pekka Yli-Paunu, Seppo Horsmanheimo, Dragan Samardzija, Artjom Grudnitsky, Heli Kokkoniemi-Tarkkanen
Publikováno v:
Uusitalo, M A, Viswanathan, H, Kokkoniemi-Tarkkanen, H, Grudnitsky, A, Moisio, M, Härkönen, T, Yli-Paunu, P, Horsmanheimo, S & Samardzija, D 2021, ' Ultra-Reliable and Low-Latency 5G Systems for Port Automation ', IEEE Communications Magazine, vol. 59, no. 8, pp. 114-120 . https://doi.org/10.1109/MCOM.011.2001060
5G technology brings significant potential for enabling port automation, leading to improved flexibility, predictability, and safety in ports. In this article, we present main drivers and technologies required for port automation. We focus on future
Autor:
Jaakko Pihlajasalo, Dani Korpi, Taneli Riihonen, Jukka Talvitie, Mikko A. Uusitalo, Mikko Valkama
Publikováno v:
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC).
With wireless networks evolving towards mmWave and sub-THz frequency bands, hardware impairments such as IQ imbalance, phase noise (PN) and power amplifier (PA) nonlinear distortion are increasingly critical implementation challenges. In this paper,
Autor:
Karthik Upadhya, Kimmo Valkealahti, Martti Moisio, Dani Korpi, Tero Ihalainen, Mikko A. Uusitalo
Publikováno v:
2022 IEEE Wireless Communications and Networking Conference (WCNC).
Autor:
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Mikko A. Uusitalo, Mikko Valkama
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
In this paper, we propose a machine learning (ML) aided physical layer receiver technique for demodulating OFDM signals that are subject to very high Doppler effects and the corresponding distortion in the received signal. Specifically, we develop a
Autor:
Jaakko Pihlajasalo, Jukka Talvitie, Taneli Riihonen, Mikko A. Uusitalo, Alberto Brihuega, Mikko Valkama, Mikko Honkala, Janne M. J. Huttunen, Dani Korpi
Publikováno v:
PIMRC
In this paper, we propose a machine learning (ML) based physical layer receiver solution for demodulating OFDM signals that are subject to a high level of nonlinear distortion. Specifically, a novel deep learning based convolutional neural network re