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Sobre

Sobre

Rui Campos tem doutoramento em Engenharia Electrotécnica e de Computadores pela Universidade do Porto desde 2011. Atualmente, é coordenador da área de redes sem fios (http://win.inesctec.pt) no Centro de Telecomunicações e Multimédia composta por 30 investigadores, e é membro sénior do IEEE. Rui Campos tem vindo a coordenadar vários projetos de I&D+i, incluindo: SIMBED, UGREEN, BLUECOM+, MareCom, MTGrid, a ação WiFIX dentro do projeto FP7 CONFINE, Mare-Fi, Under-Fi, ReCoop e HiperWireless. Rui Campos tem igualmente participado em múltiplos projetos de I&D, incluindo os seguintes projetos europeus: H2020 RAWFIE, FP7 SUNNY, FP7 CONFINE, FP6 Ambient Networks Phase 1 e FP6 Ambient Networks Phase 2. Os seus interesses de investigação incluem os aspetos de controlo de acesso ao meio, gestão de recursos rádio, gestão de mobilidade e auto-configuração em redes emergentes, com especial foco nas redes formadas por plataformas voadoras, redes marítimas e redes subaquáticas. 

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Rui Lopes Campos
  • Cargo

    Coordenador de Centro
  • Desde

    17 fevereiro 2003
033
Publicações

2023

Traffic-aware gateway placement and queue management in flying networks

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

Publicação
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

On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms

Autores
Trancoso, R; Queirós, R; Fontes, H; Campos, R;

Publicação
CoRR

Abstract

2023

Wireless technologies towards 6G

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

Publicação
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

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

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

Publicação
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

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

Publicação
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.

Teses
supervisionadas

2022

A MAC Layer for Underwater Radio Communications

Autor
Filipe Borges Teixeira

Instituição
UP-FEUP

2022

Pancreatic Ductal Adenocarcinoma Detection in CT Images using Deep Learning

Autor
Rita Catarina Moreira Alves

Instituição
UP-FEUP

2022

Comportamento Dinâmico de Sistemas de Transmissão com Inércia Reduzida

Autor
Ana Sofia Carvalho da Silva

Instituição
UP-FEUP

2022

Vehicle Trajectory Optimization Based on QoS Metrics

Autor
Maria Luís Salselas Pimentel Sanches

Instituição
UP-FEUP

2022

A gamified application for Service Plan Management

Autor
Tiago Augusto Pacheco Ludovico Pinto de Barros

Instituição
UP-FEUP