The 5G/6G enabled Future Internet of Things

The advances in 5G, 6G, artiﬁcial intelligence (AI), edge computing, are expected to accelerate the future Internet of Things (FIoT) by providing intelligent, secure, and automatic connectivity for IoT services. However, there are still a number of challenges in FIoT needs to be addressed. This editorial introduces four key techniques solutions in 5G/6G communications, network model, network managements, and IoT applications in education.


Introduction
In recent, the development of fifth generation of mobile communication technology (5G) is in its commercial deployment and the evolving 6G has attracted extensive research attentions.Both the 5G and 6G are promising to accelerate the future Internet of Things, which feature higher system capacity, higher data rate, ultralow latency, and ultra-low energy consumption.On the other hand, the advances in artificial networks (AI), virtual networking, and edge computing also shows great potential to the FIoT.Specifically, 5G/6G and AI are expected to play key role in the future IoT by addressing following challenges: (1) How AI can be used to enable dynamic spectrum sharing in 5G and terahertz 6G communications; (2) The emerging networking management techniques, including software defined network (SDN), Network Functions Virtualization (NFV), Dynamic Network slicing, etc., that enable efficient coexistence of enhanced mobile broadband (eMBB) and IoT services; (3) Security and privacy issues are still very challenging in the FIoT, including outdated firmware, weak credentials, malware/ransomware, predicting/preventing attacks, data privacy, etc.
The convergence of new technologies will significantly speed up the implementation of FIoT that will make huge impact in many aspects, such as smart cities, industrial IoT, smart home, etc.Many technical

The Papers
In the paper entitled "A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era" [1], Nayak et al. discussed the emergency services (specifically in e-healthcare) in 5G/6G enabled IoT environments.Specifically, comprehensive AIdriven future communication networks analysis were provided, in terms of security, computation, etc.Also, emergency medical services, including Patient Aid Medical Service (PAMS), Accident Aids Medical Service (AAMS) and Fire Aid Medical Service (FAMS), will discussed.
In the paper entitled "Link Scheduling for Wireless Mesh Networks Considering Gateway Feature" [2], Lin et al. investigated the mathematical models for the wireless mesh networks in complicated IoT scenarios.Also, a new WMN link scheduling model was proposed using an approximate dynamic programming algorithm.The experimental results were presented to demonstrate the effectiveness of proposed models.
In the paper entitled "UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement", Mahbub et  UAV assisted 5G NR network.In this work, UAVs were utilised to provide dependable and cost-effective wireless communication for IoT, which is specifically useful in some scenarios that the cellular networks are unavailable.The experimental results demonstrated the proposed solution can provide effective wireless connectivity.
In the paper entitled "To Design a Network That Delivers Reliable Performance 24 Hours a Day 7 Days a Week for Higher Education in Uganda" [4], Makeri et al. investigated the reliable IoT services in higher education in Uganda.In this works, a dynamic multipoint virtual Provate Network (DM-VPN) solution was proposed and implemented, which can provide reliable and QoS guaranteed connectivity for IoT services.

Concluding Remarks
This editorial introduces four key techniques solutions in 5G/6G communications, network model, network managements, and IoT applications in education.
We also express our sincerely thanks to all authors and reviewers for kingly sharing their research findings and valuable comments.We would also like to thank all staff member for making this excellent issue.