5 citations · 6 across the 7 of their papers we have counts for
7 papers
GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3
Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagén +3
The move toward Sixth-Generation (6G) networks relies on open interfaces and protocols for seamless interoperability across devices, vendors, and technologies. In this context, ope…
MIMO in network simulators: Design, implementation and evaluation of single-user MIMO in ns-3 5G-LENA
Biljana Bojovic, Sandra Lagen
MIMO technology has been studied in textbooks for several decades, and it has been adopted in 4G and 5G systems. Due to the recent evolution in 5G and beyond networks, designed to…
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study
Fernanda Famá, Charalampos Kalalas, Sandra Lagen +1
In multiple federated learning schemes, a random subset of clients sends in each round their model updates to the server for aggregation. Although this client selection strategy ai…
Improving the Efficiency of MIMO Simulations in ns-3
Matteo Pagin, Sandra Lagén, Biljana Bojović +2
Channel modeling is a fundamental task for the design and evaluation of wireless technologies and networks, before actual prototyping, commercial product development and real deplo…
Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation
Joseanne Viana, Hamed Farkhari, Pedro Sebastiao +5
Despite the robust security features inherent in the 5G framework, attackers will still discover ways to disrupt 5G unmanned aerial vehicle (UAV) operations and decrease UAV contro…
A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference
Joseanne Viana, Hamed Farkhari, Luis Miguel Campos +5
When users exchange data with Unmanned Aerial vehicles - (UAVs) over air-to-ground (A2G) wireless communication networks, they expose the link to attacks that could increase packet…