Creating and sharing knowledge for telecommunications

PhD student hosted by IT distinguished for her work in the field of 5G


on 10-03-2020

... Marina Jordão, a PhD student from the University of Aveiro, has won the “Silver Award of ARFTG Roger Pollard Student Fellowship in Microwave Measurement”, for her work entitled “Over-The-Air Characterization of 5G MIMO Systems”. The award was announced in the “94th ARFTG Microwave Measurement Symposium RF to Millimeter-Wave Measurement Techniques for 5G and Beyond”, held in San Antonio, USA, on January 28.

Marina is developing her PhD at IT in Aveiro, under the supervision of Nuno Borges de Carvalho, Arnaldo de Oliveira (both from IT/UA) and Rafael Caldeirinha (IT/Polytechnic Institute of Leiria).

With the arrival of the 5G, the next generation of telecommunications, the objective of Marina´ s PhD work is to contribute with techniques and methods to improve the design, characterization of MIMO antennas and devices for the Internet of Things (IoT) to be used in 5G.

The Automatic Radio Frequency Techniques Group (ARFTG) is an organization interested in the areas of test and measurement of radio frequency signals. The purpose of this scholarship is to recognize and fund promising research, by PhD students who show an interest in developing work that improves radio frequency signal measurements. The scholarship is named in memory of Roger Pollard, in honor of his work in the field of radio frequency signal measurements and education.


On the Photo: Marina Jordão and Nuno Borges de Carvalho.

https://www.ua.pt/pt/noticias/16/62737?fbclid=IwAR2Duy4DDCReJLGJXD1RvsE5wIjzBKqk-EBngLgMs9Q2IdKLMuhbWjXuQsI

InfoCent-IoT: Efficient Information Centric Networks for IoT Infrastructures


on 08-03-2020

... The Internet of Things (IoT) is a communication paradigm in which objects of everyday life are able to, among others, communicate with one another. Wireless networking is expected to sustain the direct interaction between personal users’ devices and to provide connectivity on large-scale resource-constrained devices. Information-Centric Networking (ICN) has been considered the most promising candidate to overcome the drawbacks of host-centric architectures when applied to IoT networks. Nevertheless, consumer and producer mobility are still an open challenge.

The InfoCent-IoT research project aims to improve current ICN architectures by taking advantage of mobility prediction in mobile IoT environments. Forwarding, routing and caching are some of the ICN features that will take advantage of such information. By properly studying and understanding mobility patterns of different network elements, ranging from simple pedestrians to bicycles or even vehicular devices, it is possible to improve the network performance or services supported by mobile systems. The outcome will be a geolocation prediction algorithm capable of, in a first phase, identifying popular regions, which has already been achieved, and latter identify individual trajectories in order to predict the geolocation of a determined element, in time and space.

Regarding the ICN architecture the project is introducing new mechanisms to address the mobility and the communication models that characterize a mobile IoT network. Context-based and mobility awareness caching and forwarding strategies have already been proposed and evaluated through simulation using real traces of mobility with several types of devices with different communication technologies, and the results clearly demonstrate the effectiveness of the solution developed so far. The research team is currently evolving the architecture to address push-based communication models, while at the same time preparing the setup to be evaluated in real-world mobile IoT scenarios.

InfoCent-IoT is a research project funded by FCT involving two research groups of IT, the Network Architectures and Protocols from Aveiro (Miguel Luís, Susana Sargento, Carlos Senna, Luís Gameiro, Luís Leira, Diego Hernandez) and the Radio Systems from Lisbon (Rodolfo Oliveira, Pedro Amaral, António Furtado, Luís Irio, André Ip, Pedro Rio).


Illustration: QuickHoney

https://www.it.pt/Projects/Index/4559