Capitalizing on the paradigms of wireless network virtualization and slicing, and of
densification promoted all across the wireless ecosystem, this project intends to investigate
multi-service wireless networks (MUSE-WINETs) based on a common and shared
infrastructure made of Cloud/Fog servers and radio heads equipped with large antenna arrays.
The targeted wireless services significantly extend the concept of data transfer slicing, towards
power transfer, positioning and wireless access to shared computational resources for
cooperative sensing and IoT applications.
To enable the optimization of the performance jointly achievable for all radio and
computational services, the project will investigate a cross (X)-service design paradigm. Xservice
design combines initial slicing of the resources for the different services, a cooperative
management of the resources across services in view of their coupling, and inter-service
message passing to exploit possible synergies between services.
The project intends to understand the performance trade-offs achievable with MUSE-WINETs
and the synergies and inter-service fertilization originating from the X-service design, and to
design optimized algorithms for the transceivers, the resource management, and the
computational load distribution. This requires the setting up of proper stochastic analytical
frameworks. The research questions will be instantiated to use cases and the answers
illustrated and corroborated by prototype elements.