Commoditization and virtualization of wireless networks are changing the economics of mobile networks to help network providers (e.g., MNO, MVNO) move from proprietary and bespoke hardware and software platforms toward an open, cost-effective, and flexible cellular ecosystem. In addition, rich and innovative local services can be efficiently created through cloudification by leveraging the existing infrastructure. In this work, we present RANaaS, which is a cloudified radio access network delivered as a service. RANaaS provides the service life-cycle of an on-demand, elastic, and pay as you go 3GPP RAN instantiated on top of the cloud infrastructure. We demonstrate an example of real-time cloudified LTE network deployment using the OpenAirInterface LTE implementation and OpenStack running on commodity hardware as well as the flexibility and performance of the platform developed.

Users have at their disposal more and more terminals to enjoy multimedia services. However, inter-user interactions are limited. Means allowing a user to transfer a running session from one terminal to another already exist, but it is usually impossible for extra terminals, belonging to the same user or not, to retrieve this session, as they have no knowledge about its existence. In this paper, we propose a new framework, wherein a dedicated entity collects session information and redistributes it to identified terminals, from the same user or not, according to criteria, such as the user preferences and the session characteristics. This framework can be applied to IPTV to enable seamless session mobility. We also discuss its implementation in Next Generation Networks.

There is an increasing user demand for multimedia services, which have strong requirements in terms of network resources. Both requirements and network resources may vary during the service lifetime. Therefore an adaptation process is required to permanently make sure service requirements match network capabilities. To this end, we propose an architecture made of two decision entities, namely the Service Manager and the Mobility Manager. The inter-manager interface allows network resource use to be optimized, while providing services with the maximal available QoS, thus maximizing the user experience. We present related algorithms for single- and multi-homed terminals. Finally, the whole architecture was implemented in a testbed, which allows scalable video contents to be simultaneously streamed over multiple heterogeneous network connections.