Project description
Optimising 5G mobile networks with mathematical modelling
Groundbreaking changes are required in the design and management of mobile networks to meet the demands of increasing network traffic and heterogeneous 5G services. At the same time, mobile networks must meet sustainability requirements through energy-efficient design and the incorporation of renewable energy sources into the infrastructure. The MSCA MAPNET project aims to develop innovative mathematical modelling techniques for 5G networks that will provide high-capacity, high-speed, low-latency services, while satisfying requirements for low environmental impact. It will develop mathematical models of ultra-dense networks with maximum energy-efficiency and a programmable network interface for network slicing and drone deployment, factoring in renewable energy sources.
Objective
The exponential increase in mobile data traffic warrants disruptive changes in the design and management of cellular networks. The next generation (5G) networks target to support a variety of applications having diverse requirements in data rates, latency, energy, etc. To address this surge in traffic demand and the associated heterogeneity in service requirements, several candidate technologies are being investigated under the 5G vision, naming a few: 1) Ultra-dense network deployment for high spatial capacity; 2) Network slicing to support heterogeneous service requirements; and 3) Cloud radio access networks (CRAN), etc. An important element of the 5G vision is to achieve a 50% reduction in the total network energy consumption. To ensure that the future networks meet both the service and the sustainability requirements, energy-efficient designs and integration of renewable-energy sources into the network infrastructure are needed. To address the sudden capacity demands, on-demand network deployment is desired, instead of maintaining a permanently over-engineered infrastructure. Inclusion of these approaches result in highly complex and stochastic network topologies. Modeling and optimizing such networks is a challenging problem. State-of-the-art approaches are not adequate to model these new scenarios, and different mathematical techniques are required. This proposal addresses the optimization and modelling challenges pertaining to the energy efficiency and service requirements of the future ultra-dense networks by: 1) The development of novel energy-efficiency models to ensure energy–neutral network operation considering renewable energy sources; 2) Innovative modeling framework for self-organized drone-assisted network infrastructure; 3) A unified programmable network interface for network slicing considering renewable energy and on-demand drone deployments; and 4) Validation of the developed approaches in a software-defined mobile network platform.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencesmathematicspure mathematicstopology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencesmathematicsapplied mathematicsmathematical model
Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
75794 Paris
France