Network Slicing Technology in a 5G Wearable Network

Abstract

With the popularization of wearable devices, designing a network architecture that can meet the latency requirements of different wearable devices and can also efficiently utilize network communication, storage, and computation resources will be a challenging problem. In this article, we first propose a new 5G wearable network based on 5G ultra-dense cellular network and mobile edge computing, to meet the access and latency requirements of wearable devices. Then we use network slicing technology in the proposed 5G wearable network to enhance the network resource sharing and energy-efficient utilization. In addition, based on the service cognitive engine and network cognitive engine deployed in the network, we introduce data-driven network slicing management to adjust the network resources in accordance with the wearable service dynamics. Finally, some challenges and open issues are discussed.