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Sobre
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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

026
Publicações

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>

2021

Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks

Autores
Almeida, EN; Coelho, A; Ruela, J; Campos, R; Ricardo, M;

Publicação
AD HOC NETWORKS

Abstract

2021

Reproducible MIMO operation in ns-3 using trace-based wi-fi rate adaptation

Autores
Lamela, V; Fontes, H; Ruela, J; Ricardo, M; Campos, R;

Publicação
WNS3 2021: 2021 Workshop on ns-3, Virtual Event, USA

Abstract
Today, wireless networks are operating in increasingly complex environments, impacting the evaluation and validation of new networking solutions. Simulation, although fully controllable and easily reproducible, depends on simplified physical layer and channel models, which often produce optimistic results. Experimentation is also influenced by external random phenomena and limited testbed scale and availability, resulting in hardly repeatable and reproducible results. Previously, we have proposed the Trace-based Simulation (TS) approach to address the problem. TS uses traces of radio link quality and position of nodes to accurately reproduce past experiments in ns-3. Yet, in its current version, TS is not compatible with scenarios where Multiple-In-Multiple-Out (MIMO) is used. This is especially relevant since ns-3 assumes perfectly independent MIMO radio streams. In this paper, we introduce the Trace-based Wi-Fi Station Manager Model, which is capable of reproducing the Rate Adaptation of past Wi-Fi experiments, including the number of effective radio streams used. To validate the proposed model, the network throughput was measured in different experiments performed in the w-iLab.t testbed, considering Single-In-Single-Out (SISO) and MIMO operation using IEEE 802.11a/n/ac standards. The experimental results were then compared with the network throughput achieved using the improved TS and Pure Simulation (PS) approaches, validating the new proposed model and confirming its relevance to reproduce experiments previously executed in real environments. © 2021 ACM.

2021

Traffic-aware Gateway Placement for High-capacity Flying Networks

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

Publicação
2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING)

Abstract

2021

A Fast Gateway Placement Algorithm for Flying Networks

Autores
Santos, G; Martins, J; Coelho, A; Fontes, H; Ricardo, M; Campos, R;

Publicação
2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING)

Abstract

Teses
supervisionadas

2021

Isolated environments for threat detection and mitigation

Autor
Simão Francisco Oliveira da Silva

Instituição
UP-FCUP

2021

Towards a Quantitative Alloy

Autor
Pedro Faria Durães da Silva

Instituição
UM

2021

Sistema de Visão Computacional Low-Cost para Deteção e Contagem de Pessoas e Veículos em Smart Cities

Autor
MIGUEL MENDES AMADO

Instituição
IPP-ISEP

2021

Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3

Autor
Ngangula Quaresma Soares dos Ramos

Instituição
UP-FEUP

2021

Connect the dots: automation in investigative jornalism workflow

Autor
Joana Rodrigues da Silva

Instituição
UP-FEUP