eWINE
Elastic WIreless Networking Experimentation
Project overview
The main goal of eWINE was to realize elastic networks that can scale to a high number of users in a short timespan through the use of an agile infrastructure (intelligent software and flexible hardware), enabling:
Dynamic on-demand end-to-end wireless connectivity service provisioning
Elastic resource sharing in dense heterogeneous and small cell networks (HetSNets)
Intelligent and informed configuration of the physical layer
eWINE developed and validated algorithms for advanced Cognitive Networking (context determination & sensing, optimization & negotiation techniques, and online learning algorithms) through experimentally-driven research on top of existing FIRE/FIRE+ facilities (CREW, WiSHFUL, FLEX).
The main goal of eWINE was to realize elastic networks that can scale to a high number of users in a short timespan through the use of an agile infrastructure (intelligent software and flexible hardware), enabling:
Dynamic on-demand end-to-end wireless connectivity service provisioning
Elastic resource sharing in dense heterogeneous and small cell networks (HetSNets)
Intelligent and informed configuration of the physical layer
eWINE developed and validated algorithms for advanced Cognitive Networking (context determination & sensing, optimization & negotiation techniques, and online learning algorithms) through experimentally-driven research on top of existing FIRE/FIRE+ facilities (CREW, WiSHFUL, FLEX).
Role of IS-Wireless
Within eWINE IS-Wireless contributed to benchmarking and coexistence verification between LTE and proposed 5G waveforms.
Within eWINE IS-Wireless contributed to benchmarking and coexistence verification between LTE and proposed 5G waveforms.