IUCCF · An intelligent design of user-centric cell-free massive MIMO: A deep learning approach
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-02-01 → 2022-12-15
- EU contribution
- €183,473
- Participants
- 1
- Scheme
- MSCA-IF
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Results in brief
An intelligent design of user-centric cell-free massive MIMO: A deep learning approach
The research project IUCCF "An intelligent design of user-centric cell-free massive MIMO: A deep learning approach" aimed to investigating beyond 5G mobile networks, and in particular the cell-free user-centric massive MIMO network concept. The project leverages the concepts of ultra-dense network deployments, cloud-based implementations of radio access networks, and cell-free network architecture. The aim is to be able to cope with the difficult challenges of 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 (URLLCs) to specific applications, and to operate with the highest levels of energy efficiency. The goal is to come up with technological solutions that can enable the realization of a user-centric network serving simultaneously ground users and unmanned UAVs flying in the sky. Special attention is devoted to the low latency of the communication and indeed the performance metric that has been optimizes is the rate in the finite blocklenght regime. The project has produced novel power control algorithms and its results hve been published in a top IEEE conference and in a top-tier IEEE journal.
Data: CORDIS, © European Union
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.
Original text from CORDIS.
Participants
- UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE · CassinoCoordinatorItaly
Links
Data: CORDIS, © European Union