6 citations · 17 across the 18 of their papers we have counts for
18 papers
Edge-Enabled UAV Swarm Deployment for Rapid Post-Disaster Search and Rescue
Alaa Awad Abdellatif, Helder Fontes, Andre Coelho +2
This paper presents an optimized Joint Radar-Communication (JRC) system utilizing multiple Unmanned Aerial Vehicles (UAVs) to simultaneously achieve sensing and communication objec…
A4FN: an Agentic AI Architecture for Autonomous Flying Networks
André Coelho, Pedro Ribeiro, Helder Fontes +1
This position paper presents A4FN, an Agentic Artificial Intelligence (AI) architecture for intent-driven automation in Flying Networks (FNs) using Unmanned Aerial Vehicles (UAVs)…
Context-aware Rate Adaptation for Predictive Flying Networks using Contextual Bandits
Ruben Queiros, Megumi Kaneko, Helder Fontes +1
The increasing complexity of wireless technologies, such as Wi-Fi, presents significant challenges for Rate Adaptation (RA) due to the large configuration space of transmission par…
Joint Channel Bandwidth Assignment and Relay Positioning for Predictive Flying Networks
Ruben Queiros, Megumi Kaneko, Helder Fontes +1
Flying Networks (FNs) have emerged as a promising solution to provide on-demand wireless connectivity when network coverage is insufficient or the communications infrastructure is…
On-demand 5G Private Networks using a Mobile Cell
André Coelho, José Ruela, Gonçalo Queirós +6
This paper proposes the Mobile Cell (MC) concept for on-demand 5G private networks. The MC is designed to extend, restore, and reinforce 5G wireless coverage and network capacity o…
Semantic Communications: the New Paradigm Behind Beyond 5G Technologies
Gabriella Fernandes, Hélder Fontes, Rui Campos
Each generation of cellular networks is characterized by its distinct capabilities and innovations, which reflect the significant milestones reached with each new release. 5G has m…
Vision-Radio Experimental Infrastructure Architecture Towards 6G
Filipe B. Teixeira, Manuel Ricardo, André Coelho +7
Telecommunications and computer vision have evolved separately so far. Yet, with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio communications, there is an opportun…
Rate Adaptation Aware Positioning for Flying Gateways using Reinforcement Learning
Gabriella Pantaleão, Rúben Queirós, Hélder Fontes +1
With the growing connectivity demands, Unmanned Aerial Vehicles (UAVs) have emerged as a prominent component in the deployment of Next Generation On-demand Wireless Networks. Howev…
RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3
Ruben Queiros, Luis Ferreira, Helder Fontes +1
The increasing complexity of recent Wi-Fi amendments is making the use of traditional algorithms and heuristics unfeasible to address the Rate Adaptation (RA) problem. This is due…
Trajectory-Aware Rate Adaptation for Flying Networks
Ruben Queiros, Jose Ruela, Helder Fontes +1
Despite the trend towards ubiquitous wireless connectivity, there are scenarios where the communications infrastructure is damaged and wireless coverage is insufficient or does not…
On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms
Ricardo Trancoso, Ruben Queiros, Helder Fontes +1
Several research works have applied Reinforcement Learning (RL) algorithms to solve the Rate Adaptation (RA) problem in Wi-Fi networks. The dynamic nature of the radio link require…
UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels
Kamran Shafafi, Eduardo Nuno Almeida, André Coelho +3
Unmanned Aerial Vehicles (UAVs) offer promising potential as communications node carriers, providing on-demand wireless connectivity to users. While existing literature presents va…
Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3
Eduardo Nuno Almeida, Helder Fontes, Rui Campos +1
Digital twins have been emerging as a hybrid approach that combines the benefits of simulators with the realism of experimental testbeds. The accurate and repeatable set-ups replic…
Machine Learning Based Propagation Loss Module for Enabling Digital Twins of Wireless Networks in ns-3
Eduardo Nuno Almeida, Mohammed Rushad, Sumanth Reddy Kota +8
The creation of digital twins of experimental testbeds allows the validation of novel wireless networking solutions and the evaluation of their performance in realistic conditions,…
Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach
Ruben Queiros, Eduardo Nuno Almeida, Helder Fontes +2
The increasing complexity of recent Wi-Fi amendments is making optimal Rate Adaptation (RA) a challenge. The use of classic algorithms or heuristic models to address RA is becoming…
Placement and Allocation of Communications Resources in Slicing-aware Flying Networks
André Coelho, Helder Fontes, Rui Campos +1
Network slicing emerged in 5G networks as a key component to enable the use of multiple services with different performance requirements on top of a shared physical network infrast…
On the Reproduction of Real Wireless Channel Occupancy in ns-3
Renato Cruz, Helder Fontes, José Ruela +2
In wireless networking R&D we typically depend on simulation and experimentation to evaluate and validate new networking solutions. While simulations allow full control over the sc…
Repeatable and Reproducible Wireless Networking Experimentation through Trace-based Simulation
Vitor Lamela, Helder Fontes, Tiago Oliveira +3
To properly validate wireless networking solutions we depend on experimentation. Simulation very often produces less accurate results due to the use of models that are simplificati…