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Sobre

Sobre

Manuel Alberto Pereira Ricardo é Licenciado (1988) e Doutor (2000) em Engenharia Eletrotécnica e de Computadores, ramo de Telecomunicações, pela Faculdade de Engenharia da Universidade do Porto (FEUP). Atualmente Manuel Ricardo é professor catedrático da FEUP onde leciona unidades curriculares de Comunicações Móveis e Redes de Computadores nos cursos de mestrado e de doutoramento em Engenharia Eletrotécnica e de Computadores, Engenharia Informática e de Computação e Telecomunicações. É membro da Comissão Executiva do DEEC da FEUP e do Conselho Científico do Programa Doutoral em Engenharia Eletrotécnica e de Computadores. Ao longo do seu percurso profissional coordenou no INESC TEC a área de Wireless Networks (2001-2011), o Centro de Telecomunicações e Multimédia (2011-2018), foi Administrador do INESC TEC (2018-2021), sendo atualmente diretor associado deste instituto com foco nas telecomunicações. Criou a Rede Temática nacional de Comunicações Móveis (RTCM, 2004). É membro do “Steering Committee” do consórcio do simulador de redes de comunicações ns-3. Participou em 30+ projetos de investigação e tem 150+ artigos publicados. As suas áreas de investigação são as redes de comunicações móveis, qualidade de serviço, gestão de recursos rádio, controlo de congestionamento de redes, caracterização de tráfego e avaliação de desempenho.

Tópicos
de interesse
Detalhes

Detalhes

023
Publicações

2023

Traffic-aware Gateway Placement and Queue Management in Flying Networks

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

Publicação
AD HOC NETWORKS

Abstract

2022

Joint Energy and Performance Aware Relay Positioning in Flying Networks

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

Publicação
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

Autores
Silva, HBGE; Ricardo, M;

Publicação
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

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

Publicação
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

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

Publicação
IEEE ACCESS

Abstract

Teses
supervisionadas

2022

Shaping the Internet: practices that restrict users' informational access

Autor
Hermann Bergmann Garcia e Silva

Instituição
UP-FEUP

2022

Traffic-aware Management of Communications Resources in Flying Networks

Autor
André Filipe Pinto Coelho

Instituição
UP-FEUP

2022

Topology Control of Flying Backhaul Mesh Networks

Autor
Eduardo Nuno Moreira Soares de Almeida

Instituição
UP-FEUP

2022

A MAC Layer for Underwater Radio Communications

Autor
Filipe Borges Teixeira

Instituição
UP-FEUP

2022

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

Autor
David Miguel de Almeida Coimbra Maia

Instituição
UP-FEUP