Project description
Deep learning for next-generation intelligent wireless solutions
On the eve of 5G and the beyond-5G wireless networks, there are several problems that must be resolved. There is a need for ultra-high data rates to serve a huge number of devices. Ultra-reliable, low-latency communications and energy efficiency are also necessary. The EU-funded IUCCF project aims to design intelligent cellular wireless data networks by engaging a deep learning approach. The researcher will upgrade the traditional massive MIMO concept (sending and receiving multi-data signal over a radio channel with a multipath propagation) with antennas in the form of a simple access point (AP) as well as unmanned aerial vehicles (UAVs). The project will adopt machine learning tools, distributed optimisation and statistical signal processing.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationswireless
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networkdata network
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programme(s)
Call for proposal
H2020-MSCA-IF-2018
See other projects for this call
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
03043 Cassino
Italy