Performance Analysis of Paging Strategies and Data Delivery Approaches for Supporting GroupOriented IoT Traffic in 5G Networks The future Internet of Things (IoT) landscape includes not only lowlatency and lowpayload machinetype communications (MTC), but it is also expected to support the growing demand of multimedia data traffic to be communicated in smart environments. Emerging IoT use cases address the delivery of the same content from the network to a large number of devices. In such scenarios, PointtoMultipoint(PTM) technology is seen as an efficient enabler of massive IoT (mIoT) in downlink direction. In this paper, we review the capabilities of the cellularbased PTM solution and propose different paging and data delivery strategies with the aim to improve the energy and latency efficiency of grouporiented mIoT communications. The performance of the proposed solutions is evaluated through an extensive simulation campaign.

Characterizing Delay and Control Traffic of the Cellular MME with IoT Support Massive Internetofthings (MIoT) represents one of the main use cases of 5G, as well as one of the most challenging ones. Accordingly, MIoT traffic is given special treatment in the core network, with the Mobility Management Entity (MME) serving both control and data traffic. In this context, it is critical to properly dimension the MME and to adapt its capability to traffic fluctuations. To this end, we present a compact, closed form linking the number of IoT sources with the rate at which bearers are requested from the MME, and such a rate delay incurred by MME operations. Our model represents a valuable tool to make effective, realtime scaling decisions in virtualized cellular core networks.