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IUCCF SIGNED

An intelligent design of user-centric cell-free massive MIMO: A deep learning approach

Total Cost €

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EC-Contrib. €

0

Partnership

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 IUCCF project word cloud

Explore the words cloud of the IUCCF project. It provides you a very rough idea of what is the project "IUCCF" about.

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Project "IUCCF" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE 

Organization address
address: VIALE DELL UNIVERSITA - CAMPUS FOLCARA
city: CASSINO
postcode: 3043
website: www.unicas.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 183˙473 €
 EC max contribution 183˙473 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2022-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE IT (CASSINO) coordinator 183˙473.00

Map

 Project objective

IUCCF is a 24-months research project focusing on the intelligent design of future cellular wireless data networks. The project leverages on the concepts of ultra-dense network deployments, cloud-based implementations of radio access networks, and of cell-free, user-centric architecture. The aim is to be able to cope with the difficult challenges of future 5G and beyond-5G wireless networks, which will be required to provide ultra-high data-rates, to support a very large number of devices, to provide ultra-reliable and low-latency communications to specific applications, and to operate with the highest levels of energy efficiency. The project will explore the potentialities of the user-centric cell-free massive MIMO concept, where the antennas are distributed, in the form of simple access points (APs), in the service area instead of being collocated at a cell-center. In addition to the use of fixed APs (FAPs), as in traditional cell-free massive MIMO system, the project will introduce also moving APs in the form of unmanned aerial vehicles (UAVs). This scenario poses many issues related to network management and resource allocation schemes that should be considered.

During the project, the ER will learn and adopt tools from machine learning, distributed optimization and statistical signal processing to optimize and add intelligence at both network core and edge in order to tackle the challenges of such a distributed autonomous system.

The project will be carried out by the ER at the University of Cassino and Lazio Meridionale (Italy), under the supervision of Prof. Stefano Buzzi. Furthermore, Nokia Bell-Labs Research Center in Dublin (Ireland) will host the ER for a six-months secondment. The applying ER is Dr. Mohamed Elwekeil, currently a post-doctoral researcher at the college of information engineering, Shenzhen University, China.

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The information about "IUCCF" are provided by the European Opendata Portal: CORDIS opendata.

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