SDNNFVbased MCORD for Achieving Scalability in Deploying NBIoT Gateways The deployment of IoT (Internet of Things) gateways opens new challenges for 5G networks to meet the rapid increase in IoT devices, services, and protocols at a high scalability level. To deal with those challenges, recently, NB Narrow Band IoT (NBIoT) gateway and MCORD (Central Office Rearchitected as a Datacenter for mobile networks) have been considered as key technologies for developing 5G architectures. In this study, we first propose a comprehensive architecture integrated NBIoT gateways and MCORD to meet diversified requirements of 5G and IoT services. Next, Software Defined Network (SDN) and Network Function Virtualization (NFV) are applied to build various virtual network functions (VNFs) on MCORD Mobile Edges. And then, based on these functions, we perform offloading functions of an NBIoT gateway to an MCORD Mobile Edge. After that, a network QoS control application is deployed to perform on demand QoS control for multitenancy IoT services with different requirements. Finally, several experiments are implemented on a real NBIoT gateway and our testbed environment, and the results are also presented.

Architectural and Cost Implications of the 5G Edge NFV Systems The recent issued 5G standard promises a comprehensive service provisioning for diverse user demands. The new challenges posed by 5G (e.g. the ultralow latency communication) urge the functionality deployment to offload from network core to edge. Besides, the various requirements of QoS guarantee cast by fastvarying services make the Network Function Virtualization (NFV) an essential enabler of edge network evolution. To date, the performance challenges at the newly created NFVenabled virtual network edge are still unexplored. In this paper, we investigate the converged virtual Radio Access Network (RAN) and Mobile Edge Computing (MEC) in 5G era. We first outline the solo virtual RAN performance. We then characterize the collocate workloads (RAN and MEC, RAN and RAN) on the commercial offtheshelf (COTS) edge platform. Finally, we provide brief cost comparison between traditional RAN and virtual RAN. The implications of the virtual RAN system will benefit future edge NFV design.