Empowered by the incoming 5G, Internet-of-Things (IoT) is radically changing our lifestyle and enhancing the smartness of mobile information systems, especially the multimedia IoT that has been widely applied for video surveillance, self-driving, augmented reality, etc. Meanwhile, analysing and processing the data of increasingly large-scale Multimedia IoT poses significant challenges for resource-limited IoT devices.

Conventionally, these data are delivered to the remote data centres for processing. However, this is delay intolerable and unfriendly to backbone efficiency. The rising concept of edge intelligence over 5G scenarios addresses these conventional drawbacks by the support of edge/fog computing together with machine learning-based technologies. Such edge intelligence in 5G networks and beyond helps to efficiently schedule the fragmented resources of massive IoT devices in a complex and time-varying environment. By incorporating learning-based methods into the edge, IoT also potentially offers optimized multimedia data processing and delivery, in terms of latency, reliability, load balance, resource utilization, security, and so on. Despite being promising, bringing multimedia IoT boosted by edge intelligence into reality is still a challenge.

This Special Issue aims to collect contributions on the emerging topics of multimedia IoT that is supported by edge intelligence. This Special Issue will also present and emphasize the advances and latest technologies, algorithms, theoretical frameworks and applications in the field of edge intelligence for edge intelligence-boosted multimedia IoT over 5G and beyond, to move forward the research frontiers of this field. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Multimedia service optimization for transmission protocols in edge intelligence IoT
• Network function virtualization in edge/fog computing
• Intelligent transmission control technologies for 5G-IoT
• Data storage and processing in 5G IoT infrastructures
• 5G-IoT standardization and applications
• Machine learning and intelligent optimization for multimedia communications in IoT
• Designation of hardware and FPGA for future 5G-IoT
• Performance evaluation and test bed for 5G-IoT
• Green multimedia services in smart IoT
• Enhanced mobile broadband services with 5G-IoT
• Security and privacy issues for 5G-enabled edge intelligence
• Machine learning-based multimedia processing in 5G-IoT
• Intelligent configuration of caching for multimedia IoT
• Machine learning-based optimization for edge/fog computing in 5G-IoT