Zobrazeno 1 - 10
of 652
pro vyhledávání: '"DaSilva, Luiz A."'
Autor:
Santos, Joao F., Huff, Alexandre, Campos, Daniel, Cardoso, Kleber V., Both, Cristiano B., DaSilva, Luiz A.
The Open Radio Access Network (O-RAN) Alliance proposes an open architecture that disaggregates the RAN and supports executing custom control logic in near-real time from third-party applications, the xApps. Despite O-RAN's efforts, the creation of x
Externí odkaz:
http://arxiv.org/abs/2407.09619
Autor:
Dzaferagic, Merim, Ruffini, Marco, Slamnik-Krijestorac, Nina, Santos, Joao F., Marquez-Barja, Johann, Tranoris, Christos, Denazis, Spyros, Kyriakakis, Thomas, Karafotis, Panagiotis, DaSilva, Luiz, Pandey, Shashi Raj, Shiraishi, Junya, Popovski, Petar, Jensen, Soren Kejser, Thomsen, Christian, Pedersen, Torben Bach, Claussen, Holger, Du, Jinfeng, Zussman, Gil, Chen, Tingjun, Chen, Yiran, Tirupathi, Seshu, Seskar, Ivan, Kilper, Daniel
Multiple visions of 6G networks elicit Artificial Intelligence (AI) as a central, native element. When 6G systems are deployed at a large scale, end-to-end AI-based solutions will necessarily have to encompass both the radio and the fiber-optical dom
Externí odkaz:
http://arxiv.org/abs/2407.01544
RIS is one of the significant technological advancements that will mark next-generation wireless. RIS technology also opens up the possibility of new security threats, since the reflection of impinging signals can be used for malicious purposes. This
Externí odkaz:
http://arxiv.org/abs/2212.05101
Autor:
Souza, Manuela M. C., Pontes, Camila, Gondim, Joao, Garcia, Luis P. F., DaSilva, Luiz, Marotta, Marcelo A.
Network intrusion detection systems (NIDS) are one of many solutions that make up a computer security system. Several machine learning-based NIDS have been proposed in recent years, but most of them were developed and evaluated under the assumption t
Externí odkaz:
http://arxiv.org/abs/2109.11224
Publikováno v:
IEEE Communications Standards Magazine, 2022
Industry-led initiatives such as the Next G Alliance (NGA) are currently considering how to dimension the spectrum required to support new classes of services envisioned beyond 5G. In particular, support for URLLC brings the challenge of how to dimen
Externí odkaz:
http://arxiv.org/abs/2107.09851
Unmanned Aerial Vehicle (UAV) technology is becoming more prevalent and more diverse in its application. 5G and beyond networks must enable UAV connectivity. This will require the network operator to consider this new type of user in the planning and
Externí odkaz:
http://arxiv.org/abs/2102.12899
Millions of battery-powered sensors deployed for monitoring purposes in a multitude of scenarios, e.g., agriculture, smart cities, industry, etc., require energy-efficient solutions to prolong their lifetime. When these sensors observe a phenomenon d
Externí odkaz:
http://arxiv.org/abs/2011.09747
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association
Unmanned Aerial Vehicles (UAVs) are emerging as important users of next-generation cellular networks. By operating in the sky, UAV users experience very different radio conditions than terrestrial users, due to factors such as strong Line-of-Sight (L
Externí odkaz:
http://arxiv.org/abs/2010.01126
Providing reliable connectivity to cellular-connected UAV can be very challenging; their performance highly depends on the nature of the surrounding environment, such as density and heights of the ground BSs. On the other hand, tall buildings might b
Externí odkaz:
http://arxiv.org/abs/2007.13695
\ac{RAT} classification and monitoring are essential for efficient coexistence of different communication systems in shared spectrum. Shared spectrum, including operation in license-exempt bands, is envisioned in the \ac{5G} standards (e.g., 3GPP Rel
Externí odkaz:
http://arxiv.org/abs/2007.13561