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About

About

Manuel Alberto Pereira Ricardo has Licenciatura, M.Sc. and PhD (2000) degrees in Electrical and Computer Engineering (EEC), major of Telecommunications, from the Faculty of Engineering of the University of Porto (FEUP). Manuel Ricardo is currently a full professor at FEUP where he teaches courses on Mobile Communications and Computer Networks at FEUP. He is a member of the Executive Committee of his department (EEC) and member of the Scientific Committee of the Doctoral Program in Electrical and Computer Engineering. At INESC TEC, he coordinated the Wireless Networks area (2001-2011), the Center for Telecommunications and Multimedia (2011-2018), was member of the Board of Directors (2018-2021), and is currently an associate director focused on telecommunications. He created the Portuguese Thematic Network on Mobile Communications (RTCM, 2004). He is a member of the Steering Committee of the ns-3 communications network simulator consortium. He participated in 30+ research projects and has 150+ articles published. His research areas are mobile communications networks, quality of service, radio resource management, network congestion control, traffic characterization and performance assessment.

Interest
Topics
Details

Details

023
Publications

2023

Traffic-aware Gateway Placement and Queue Management in Flying Networks

Authors
Coelho, A; Campos, R; Ricardo, M;

Publication
AD HOC NETWORKS

Abstract

2022

Joint Energy and Performance Aware Relay Positioning in Flying Networks

Authors
Rodrigues, H; Coelho, A; Ricardo, M; Campos, R;

Publication
IEEE ACCESS

Abstract
<p>Unmanned Aerial Vehicles (UAVs) have emerged as suitable platforms for transporting and positioning communications nodes on demand, including Wi-Fi Access Points and cellular Base Stations. This paved the way for the deployment of flying networks capable of temporarily providing wireless connectivity and reinforcing the coverage and capacity of existing networks anywhere, anytime. Several solutions have been proposed in the literature for the positioning of UAVs that act as Flying Access Points (FAPs). Yet, the positioning of Flying Communications Relays (FCRs) in charge of forwarding the traffic to/from the Internet has not received equal attention. A major challenge in flying networks is the UAVs endurance. Since the UAVs are typically powered by on-board batteries with limited capacity, whose energy is used for communications and propulsion, the UAVs need to land frequently for recharging or replacing their batteries, limiting the flying network availability. State of the art works are focused on optimizing both the flying network performance and the energy-efficiency from the communications point of view, but do not consider the energy spent for the UAV propulsion. Yet, the energy spent for communications is typically negligible when compared with the energy spent for the UAV propulsion.</p><p>In order to address the FCR UAV positioning and energy-efficiency challenges, we have proposed the Energy-aware RElay Positioning (EREP) algorithm. EREP defines the trajectory and speed of the FCR UAV that minimize the energy spent for the UAV propulsion. However, since EREP considers a theoretical radio propagation model for computing the minimum Signal-to-Noise Radio (SNR) values that allow to meet the FAPs traffic demand, this may lead to network performance degradation in real-world networking scenarios, especially due to the FCR UAV movement. In this article, we propose the Energy and Performance Aware relay Positioning (EPAP) algorithm. Built upon the EREP algorithm, EPAP defines target performance-aware SNR values for the wireless links established between the FCR UAV and the FAPs and, based on that, computes the trajectory to be completed by the FCR UAV, so that the energy spent for the UAV propulsion is minimized. EPAP was evaluated in terms of both the flying network performance and the FCR UAV endurance, considering multiple networking scenarios. Simulation results show gains up to 25% in the FCR UAV endurance, while not compromising the Quality of Service offered by the flying network.</p>

2022

5G and governance through technology

Authors
Silva, HBGE; Ricardo, M;

Publication
EPTIC

Abstract
The fifth generation of mobile communications networks (5G) emerges with the potential to customize the technical parameters of the same physical infrastructure for each application, service, or user, which can compromise the fundamentals that made the Internet the leading platform for dissemi-nating information and a transnational instrument of collaboration of indi-viduals and institutions. In this scenario, the present study intends to ana-lyze this new technological standard, its influence on the informational flow of the Internet, and evaluate the role of information policy for the gover-nance of the multiple interests that permeate the digital ecosystem.

2022

Traffic-Aware UAV Placement Using a Generalizable Deep Reinforcement Learning Methodology

Authors
Almeida, EN; Campos, R; Ricardo, M;

Publication
2022 27TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2022)

Abstract

2022

An Algorithm for Placing and Allocating Communications Resources Based on Slicing-aware Flying Access and Backhaul Networks

Authors
Coelho, A; Rodrigues, J; Fontes, H; Campos, R; Ricardo, M;

Publication
IEEE ACCESS

Abstract

Supervised
thesis

2022

Shaping the Internet: practices that restrict users' informational access

Author
Hermann Bergmann Garcia e Silva

Institution
UP-FEUP

2022

Traffic-aware Management of Communications Resources in Flying Networks

Author
André Filipe Pinto Coelho

Institution
UP-FEUP

2022

Topology Control of Flying Backhaul Mesh Networks

Author
Eduardo Nuno Moreira Soares de Almeida

Institution
UP-FEUP

2022

A MAC Layer for Underwater Radio Communications

Author
Filipe Borges Teixeira

Institution
UP-FEUP

2022

Control and Positioning of a 5G Radio Access Node Deployed in a Mobile Robotic Platform

Author
David Miguel de Almeida Coimbra Maia

Institution
UP-FEUP