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About

Manuel Ricardo has MSc and PhD degrees in Electrical and Computers Engineering (Telecommunications) from Porto University. He is full professor at the Faculty of Engineering of the University of Porto (FEUP), where he teaches courses in computer networks and mobile communications. He is member of the Board of Directors of the INESC TEC research institute where he also leads the cluster of research centers on Networked Intelligent Systems.

Interest
Topics
Details

Details

025
Publications

2020

Height Optimization in Aerial Networks for Enhanced Broadband Communications at Sea

Authors
Teixeira, FB; Campos, R; Ricardo, M;

Publication
IEEE Access

Abstract

2020

On the Reproduction of Real Wireless Channel Occupancy in ns-3

Authors
Cruz, R; Fontes, H; Ruela, J; Ricardo, M; Campos, R;

Publication
CoRR

Abstract

2020

Proactive Queue Management for Flying Networks

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

Publication
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

Abstract

2020

UDMSim: A Simulation Platform for Underwater Data Muling Communications

Authors
Teixeira, FB; Moreira, N; Abreu, N; Ferreira, BM; Ricardo, M; Campos, R;

Publication
16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020, Thessaloniki, Greece, October 12-14, 2020

Abstract
The use of Autonomous Underwater Vehicles (AUVs) is increasingly seen as a cost-effective way to carry out underwater missions. Due to their long endurance and set of sensors onboard, AUVs may collect large amounts of data, in the order of Gbytes, which need to be transferred to shore. State of the art wireless technologies suffer either from low bitrates or limited range. Since surfacing may be unpractical, especially for deep sea operations, long-range underwater data transfer is limited to the use of low bitrate acoustic communications, precluding the timely transmission of large amounts of data. The use of data mules combined with short-range, high bitrate RF or optical communications has been proposed as a solution to overcome the problem.In this paper we describe the implementation and validation of UDMSim, a simulation platform for underwater data muling oriented systems that combines an AUV simulator and the Network Simulator 3 (ns-3). The results presented in this paper show a good match between UDMSim, a theoretical model, and the experimental results obtained by using an underwater testbed when no localization errors exist. When these errors are present, the simulator is able to reproduce the navigation of AUVs that act as data mules, adjust the throughput, and simulate the signal and connection losses that the theoretical model can not predict, but that will occur in reality. UDMSim is made available to the community to support easy and faster evaluation of data muling oriented underwater communications solutions, and enable offline replication of real world experiments. © 2020 IEEE.

2019

Predicting throughput in IEEE 802.11 based wireless networks using directional antenna

Authors
Kandasamy, S; Morla, R; Ramos, P; Ricardo, M;

Publication
Wireless Networks

Abstract
In IEEE 802.11 based wireless networks interference increases as more access points are added. A metric helping to quantize this interference seems to be of high interest. In this paper we study the relationship between the (Formula presented.) metric, which captures interference, and throughput for IEEE 802.11 based network using directional antenna. The (Formula presented.) model was found to best represent the relationship between the interference metric and the network throughput. We use this model to predict the performance of similar networks and decide the best configuration a network operator could use for planning his network. © 2017 Springer Science+Business Media, LLC

Supervised
thesis

2020

Topology Control of Flying Backhaul Mesh Networks

Author
Eduardo Nuno Moreira Soares de Almeida

Institution
UP-FEUP

2020

Centralized Routing for Flying Backhaul Networks

Author
André Filipe Coelho

Institution
UP-FEUP

2020

A MAC Layer for Underwater Radio Communications

Author
Filipe Borges Teixeira

Institution
UP-FEUP

2019

A MAC Layer for Underwater Radio Communications

Author
Filipe Borges Teixeira

Institution
UP-FEUP

2019

Improving the performance evaluation of wireless networks: towards a simulation-experimentation synergy using ns-3

Author
Hélder Martins Fontes

Institution
UP-FEUP