Currently, most of the Internet of Things (IoT) applications and services are relying on 4G/LTE or 3G as the transport/gateway to the destination for further processing and application creation. However, the 5th Generation mobile broadband communications (5G) is commercial available. As 5G networking and wireless communications technologies have evolved toward Open Networking (ON), Software De-fined Networks (SDN), and Network Function Virtualization (NFV). ON and SDN/NFV with their capabilities in enabling softwarization and virtualization (S&V) and network slicing of 5G will provide massiveness, denseness, high throughput and ultra-low latency required by a large variety of IoT applications and services. The 5G will allow IoT applications not only to transfer data faster and less delay but also to equip with more innovation & intelligence by embedding software with learning capability of AI. The most promising learning algorithms includes Machine Learning (ML) and Deep Learning (DL) This article aims to explore key features of SDN/NFV-based snd AI-driven 5G, especially on how those may benefit and influence to the development of future IoT. The S&V of 5G remains some challenge issues based on open ON architecture and the report on “The Status of Open Source for 5G”. The ultimate goal is to reach “AI-Enabled Network” based to ATIS report on Evolution to an Artificial Intelligent-Enabled Network.
|出版狀態||Published - 29 十月 2020|
|事件||TANET 2020 臺灣網際網路研討會 - 國立台灣大學綜合體育館, Taipei, Taiwan|
持續時間: 28 十月 2020 → 30 十二月 2020
|Conference||TANET 2020 臺灣網際網路研討會|
|期間||28/10/20 → 30/12/20|