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Sobre

Sobre

André Coelho obteve um doutoramento em Telecomunicações em 2023 e um mestrado em Engenharia Eletrotécnica e de Computadores em 2016, ambos pela Universidade do Porto, Portugal. Atualmente, é investigador no grupo de investigação de Redes Sem Fios (WiN) do Centro de Telecomunicações e Multimédia (CTM) do INESC TEC.

Desde que se juntou ao INESC TEC em 2015, André Coelho tem estado ativamente envolvido em vários projetos de investigação nacionais e europeus, incluindo NEXUS, PRODUTECH R3, Test Bed 5G & Digital Transformation, CONVERGE, OVERWATCH, ResponDrone, InterConnect, RAWFIE, WISE, 5Go e CHIC. Também fez parte da equipa de orientação de mais de 20 estudantes de mestrado e licenciatura.

Os seus interesses de investigação incluem a gestão de recursos de comunicações para garantias de Qualidade de Serviço em redes sem fios emergentes. Tem um interesse especial em redes voadoras formadas por Veículos Aéreos Não Tripulados (UAVs).

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    André Filipe Coelho
  • Cargo

    Investigador Auxiliar
  • Desde

    02 novembro 2015
006
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.

2022

Joint Energy and Performance Aware Relay Positioning in Flying Networks

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

Publicação
IEEE ACCESS

Abstract
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 coverage and capacity of existing networks. Several solutions have been proposed for the positioning of UAVs acting 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. In addition, state of the art works are focused on optimizing both the flying network performance and the energy-efficiency from the communications point of view, leaving aside a relevant component: the energy spent for the UAV propulsion. We propose the Energy and Performance Aware relay Positioning (EPAP) algorithm. EPAP defines target performance-aware Signal-to-Noise Ratio (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.

2022

ResponDrone - A Situation Awareness Platform for First Responders

Autores
Friedrich, M; Lieb, TJ; Temme, A; Almeida, EN; Coelho, A; Fontes, H;

Publicação
AIAA/IEEE Digital Avionics Systems Conference - Proceedings

Abstract
Short reaction times are among the most important factors in preventing casualties or providing first assistance to potential victims during large scale natural disasters. Consequently, first response teams must quickly gain a comprehensive overview and thus situation awareness of the disaster situation. To address this challenge, the ResponDrone-platform was developed within the scope of the ResponDrone project. A fleet of unmanned aerial vehicles provides critical information from the disaster site to the first response teams in real-time and can act as a communications relays in areas with disrupted communications infrastructure. The unmanned aerial vehicles are commanded via a web-based multi-mission control system. Data sharing between the individual components is realized via a web-based cloud platform. The ResponDrone platform's capabilities were successfully tested and validated within the scope of several flight and simulation trials. This paper describes the components that were developed, integrated into a system-of-systems and demonstrated during the ResponDrone project and explains how the components work together in order to execute task-based multi-UAV missions. Further, the results of the validation trials are presented and an outlook on the next steps for further exploitation of the ResponDrone platform is given. © 2022 IEEE.

2022

Obstacle-aware On-demand 5G Network using a Mobile Robotic Platform

Autores
Maia, D; Coelho, A; Ricardo, M;

Publicação
2022 18TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)

Abstract
5G has become increasingly popular nowadays, mainly due to its characteristics which enable high data rates and low latency. At the same time, mobile robotic platforms, such as drones and robots, appeared as suitable platforms to carry radio stations, enabling the on-demand placement of 5G communications cells. The main contribution of this paper is an obstacle-aware on-demand 5G network. The proposed solution consists of a 5G radio station (gNB) carried by a mobile robotic platform capable of providing obstacle-aware wireless connectivity to 5G User Equipments (UEs), leveraged by a novel virtual network function - On-Demand Mobility Management Function (ODMMF). ODMMF is designed to integrate the 5G Core network and it allows to monitor the radio conditions provided to the served UEs, while enabling the positioning of the mobile robotic platform remotely by taking advantage of the visual information provided by on-board video cameras. The proposed solution was validated using an experimental prototype, under a representative networking scenario.

2022

Energy-aware relay positioning in flying networks

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

Publicação
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Abstract
The ability to move and hover has made rotary-wing unmanned aerial vehicles (UAVs) suitable platforms to act as flying communications relays (FCRs), aiming at providing on-demand, temporary wireless connectivity when there is no network infrastructure available or a need to reinforce the capacity of existing networks. However, since UAVs rely on their on-board batteries, which can be drained quickly, they typically need to land frequently for recharging or replacing them, limiting their endurance and the flying network availability. The problem is exacerbated when a single FCR UAV is used. The FCR UAV energy is used for two main tasks: Communications and propulsion. The literature has been focused on optimizing both the flying network performance and energy efficiency from the communications point of view, overlooking 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. In this article, we propose energy-aware relay positioning (EREP), an algorithm for positioning the FCR taking into account the energy spent for the UAV propulsion. Building upon the conclusion that hovering is not the most energy-efficient state, EREP defines the trajectory and speed that minimize the energy spent by the FCR UAV on propulsion, without compromising in practice the quality of service offered by the flying network. The EREP algorithm is evaluated using simulations. The obtained results show gains up to 26% in the FCR UAV endurance for negligible throughput and delay degradation.

Teses
supervisionadas

2020

Printed Electronics Power Supply for IoT Systems

Autor
Guilherme José Esteves Pelayo

Instituição
UP-FEUP

2019

Design of a route-planner for urban public transport, promoting social inclusion

Autor
Rafael Marques Dias

Instituição
UP-FEUP

2019

Efficient Heuristics for Two-Dimensional Cutting and Packing Problems

Autor
Óscar António Maia de Oliveira

Instituição
UP-FEUP

2018

Spectrum-based Diagnosis: Measurements, Improvements and Applications

Autor
Alexandre Campos Perez

Instituição
UP-FEUP

2018

Integrated verification of cryptographic security proofs and implementations

Autor
Vitor Manuel Parreira Pereira

Instituição
UP-FCUP