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About

About

Helder Fontes received the MSc degree in 2010 and Ph.D. degree in 2019, both in Informatics Engineering at the Faculty of Engineering of the University of Porto, Portugal. He is the coordinator of the Wireless Networks (WiN) area at INESC TEC and since 2009 he has participated in multiple national and EU research projects, including SITMe, HiperWireless, FP7 SUNNY, H2020 ResponDrone, DECARBONIZE, FLY.PT and Fed4FIRE+ SIMBED, SIMBED+ and SMART open call projects. He has been advisor of 10+ MSc theses on wireless networking simulation, emulation, and experimentation. His research interests include wireless networking simulation, emulation, and experimentation in the scope of emerging scenarios such as airborne and maritime, with special focus on repeatability and reproducibility of experiments using digital twins of wireless testbeds.

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Topics
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Details

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Publications

2022

Machine Learning Based Propagation Loss Module for Enabling Digital Twins of Wireless Networks in ns-3

Authors
Almeida, EN; Rushad, M; Kota, SR; Nambiar, A; Harti, HL; Gupta, C; Waseem, D; Santos, G; Fontes, H; Campos, R; Tahiliani, MP;

Publication
WNS3 2022: 2022 Workshop on ns-3, Virtual Event, USA, June 22 - 23, 2022

Abstract

2021

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

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

Publication
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

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

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

Abstract

2021

A Fast Gateway Placement Algorithm for Flying Networks

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

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

Abstract

2021

Placement and Allocation of Communications Resources in Slicing-aware Flying Networks

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

Publication
17TH CONFERENCE ON WIRELESS ON-DEMAND NETWORK SYSTEMS AND SERVICES (WONS 2022)

Abstract

Supervised
thesis

2020

An SDN-based Predictive Orchestrator for Transparent Multi-interface Vehicular Internet Access

Author
Agostinho Filipe de Almeida Coimbra Maia

Institution
UP-FEUP

2020

Trace-based ns3-gym Reinforcement Learning Environment Framework for Wireless Networks

Author
Gonçalo Regueiras dos Santos

Institution
UP-FEUP

2020

Multi-technology Flying Access Network for Disaster Management Scenarios

Author
Rúben Miguel Rei Queirós

Institution
UP-FEUP

2016

A bibliometric analysis of innovation-related research of the former Soviet Union five ‘‘Stans’’: are there distinct patterns?

Author
Sohibjon Tuychiev

Institution
UP-FEP