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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.

Details

Details

  • Name

    Manuel Ricardo
  • Role

    Associate Director
  • Since

    01st January 1996
026
Publications

2023

Traffic-aware gateway placement and queue management in flying networks

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

Publication
AD HOC NETWORKS

Abstract
Unmanned Aerial Vehicles (UAVs) have emerged as adequate platforms to carry communications nodes, including Wi-Fi Access Points and cellular Base Stations. This has led to the concept of flying networks composed of UAVs as a flexible and agile solution to provide on-demand wireless connectivity anytime, anywhere. However, state of the art works have been focused on optimizing the placement of the access network providing connectivity to ground users, overlooking the backhaul network design. In order to improve the overall Quality of Service (QoS) offered to ground users, the placement of Flying Gateways (FGWs) and the size of the queues configured in the UAVs need to be carefully defined to meet strict performance requirements. The main contribution of this article is a traffic-aware gateway placement and queue management (GPQM) algorithm for flying networks. GPQM takes advantage of knowing in advance the positions of the UAVs and their traffic demand to determine the FGW position and the queue size of the UAVs, in order to maximize the aggregate throughput and provide stochastic delay guarantees. GPQM is evaluated by means of ns-3 simulations, considering a realistic wireless channel model. The results demonstrate significant gains in the QoS offered when GPQM is used.

2023

Wireless technologies towards 6G

Authors
Campos, R; Ricardo, M; Pouttu, A; Correia, LM;

Publication
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING

Abstract
This Special Issue originates from the international conference 2021 Joint EuCNC & 6G Summit (Joint European Conference on Networks and Communications and 6G Summit), which was held in June 2021 in virtual format. The Technical Programme Chairs of the conference selected the best papers and invited authors to submit an extended version of their paper by at least one-third of their length. Only the top ranked papers were invited to this Special Issue, in order to fulfil its purpose. The main target was to collect and present quality research contributions in the most recent activities related to technologies, systems and networks beyond 5G. Through this Special Issue, the state-of-the-art is presented and the new challenges highlighted, regarding the latest advances on systems and network perspectives that are already being positioned beyond 5G, bridging as well with the evolution of 5G, including applications and trials. Therefore, the motivation for this Special Issue is to present the latest and finest results on the evolution of research of mobile and wireless communications, coming, but not exclusively (since Joint EuCNC & 6G Summit is a conference open to the whole research community), from projects co-financed by the European Commission within its R&D programmes.

2023

UAV-Assisted Wireless Communications: An Experimental Analysis of Air-to-Ground and Ground-to-Air Channels in Open Environments

Authors
Shafafi, K; Almeida, EN; Coelho, A; Fontes, H; Ricardo, M; Campos, R;

Publication
CoRR

Abstract

2023

Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3

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

Publication
PROCEEDINGS OF THE 2023 WORKSHOP ON NS-3, WNS3 2023

Abstract
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 replicating the dynamic conditions of physical environments, enable digital twins of wireless networks to be used to evaluate the performance of next-generation networks. In this paper, we propose the Position-based Machine Learning Propagation Loss Model (P-MLPL), enabling the creation of fast and more precise digital twins of wireless networks in ns-3. Based on network traces collected in an experimental testbed, the P-MLPL model estimates the propagation loss suffered by packets exchanged between a transmitter and a receiver, considering the absolute node's positions and the traffic direction. The P-MLPL model is validated with a test suite. The results show that the P-MLPL model can predict the propagation loss with a median error of 2.5 dB, which corresponds to 0.5x the error of existing models in ns-3. Moreover, ns-3 simulations with the P-MLPL model estimated the throughput with an error up to 2.5 Mbit/s, when compared to the real values measured in the testbed.

2023

Resource allocation for dataflow applications in FANETs using anypath routing

Authors
Escobar, JJL; Ricardo, M; Campos, R; Gil-Castineira, F; Redondo, RPD;

Publication
INTERNET OF THINGS

Abstract
Management of network resources in advanced IoT applications is a challenging topic due to their distributed nature from the Edge to the Cloud, and the heavy demand of real-time data from many sources to take action in the deployment. FANETs (Flying Ad-hoc Networks) are a clear example of heterogeneous multi-modal use cases, which require strict quality in the network communications, as well as the coordination of the computing capabilities, in order to operate correctly the final service. In this paper, we present a Virtual Network Embedding (VNE) framework designed for the allocation of dataflow applications, composed of nano-services that produce or consume data, in a wireless infrastructure, such as an airborne network. To address the problem, an anypath-based heuristic algorithm that considers the quality demand of the communication between nano-services is proposed, coined as Quality-Revenue Paired Anypath Dataflow VNE (QRPAD-VNE). We also provide a simulation environment for the evaluation of its performance according to the virtual network (VN) request load in the system. Finally, we show the suitability of a multi-parameter framework in conjunction with anypath routing in order to have better performance results that guarantee minimum quality in the wireless communications.

Supervised
thesis

2022

DESENVOLVIMENTO DE PROCESSOS, PROCEDIMENTOS E ESTANDARDIZAÇÃO DE ARMAZÉNS

Author
CATARINA GONÇALVES BARRIAS

Institution
IPP-ISEP

2022

Towards a Digital-Twin Based, Multi-sided Market of Data-enabled Product-Services Systems

Author
Henrique Diogo Cardoso da Silva

Institution
UP-FEUP

2022

A MAC Layer for Underwater Radio Communications

Author
Filipe Borges Teixeira

Institution
UP-FEUP

2021

Injecting Faults in Byzantine Fault Tolerant Protocols

Author
Ricardo Jorge Alves Fernandez

Institution
UP-FCUP

2021

Digital images as data and metadata: description requirements for information retrieval and semantic interoperability

Author
Joana Patrícia de Sousa Rodrigues

Institution
UP-FEUP