CORDIS
EU research results

CORDIS

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

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

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.
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE

Address

Viale Dell Universita - Campus Folcara
03043 Cassino

Italy

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 183 473,28

Project information

Grant agreement ID: 844253

Status

Grant agreement signed

  • Start date

    1 February 2020

  • End date

    31 January 2022

Funded under:

H2020-EU.1.3.2.

  • Overall budget:

    € 183 473,28

  • EU contribution

    € 183 473,28

Coordinated by:

UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE

Italy