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Sobre
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Sobre

Manuel Ricardo é formado em Engenharia Eletrotécnica e de Computadores, especialização de Telecomunicações, pela Faculdade de Engenharia da Universidade do Porto (FEUP), tendo obtido os graus de Licenciado, Mestre, Doutor e Agregado. É professor catedrático na FEUP onde leciona disciplinas de redes de computadores e comunicações móveis. É coordenador do cluster de centros de investigação em Redes de Sistemas Inteligentes.

Tópicos
de interesse
Detalhes

Detalhes

026
Publicações

2020

Height Optimization in Aerial Networks for Enhanced Broadband Communications at Sea

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

Publicação
IEEE Access

Abstract

2020

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

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

Publicação
CoRR

Abstract

2020

Proactive Queue Management for Flying Networks

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

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

Abstract

2020

UDMSim: A Simulation Platform for Underwater Data Muling Communications

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

Publicação
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

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

Publicação
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

Teses
supervisionadas

2020

Topology Control of Flying Backhaul Mesh Networks

Autor
Eduardo Nuno Moreira Soares de Almeida

Instituição
UP-FEUP

2020

Centralized Routing for Flying Backhaul Networks

Autor
André Filipe Coelho

Instituição
UP-FEUP

2020

A MAC Layer for Underwater Radio Communications

Autor
Filipe Borges Teixeira

Instituição
INESCTEC

2019

Topology Control of Flying Backhaul Mesh Networks

Autor
Eduardo Nuno Moreira Soares de Almeida

Instituição
UP-FEUP

2019

A MAC Layer for Underwater Radio Communications

Autor
Filipe Borges Teixeira

Instituição
UP-FEUP