[Paper Review] Survey on Internet of Things enabled by 6G Wireless Networks

Sridhar Iyer, Rahul Jashvantbhai Pandya+5 more|arXiv (Cornell University)|Mar 16, 2022

Advanced Wireless Communication Technologies4 citations

TL;DR

This survey explores the integration of 6G wireless networks with the Internet of Things (IoT), identifying key enablers, use cases, and research challenges. It outlines how 6G's terahertz communications, AI-native networking, and ultra-reliable low-latency capabilities will enable pervasive, intelligent IoT ecosystems, while highlighting open research issues in security, scalability, and energy efficiency.

ABSTRACT

The 6G wireless technology is visualized to revolutionize multiple customer services with the Internet of Things (IoT), thereby contributing to a ubiquitous intelligent society comprising autonomous systems. In this chapter, we conduct a detailed survey on the IoT networks with 6G wireless networks and investigate the trending possibilities provided by the 6G technology within the IoT networks and the related utilization; Firstly, we detail the breakthrough IoT technologies and the technological drivers which are anticipated to strengthen IoT networks in future. Next, we present the relevant use cases detailing the discussion on the role of the 6G technology within a broad spectrum of IoT potential applications. Lastly, we highlight the several research scope and challenges and list the potential research needs and encourage further research within the thrust area of IoT enabled by 6G networks.

Motivation & Objective

• To analyze the technological drivers and breakthrough innovations enabling 6G-powered IoT networks.
• To identify and categorize emerging IoT use cases across healthcare, smart cities, industrial automation, and autonomous systems.
• To map the system-level requirements of 6G for supporting massive, heterogeneous, and intelligent IoT deployments.
• To highlight critical research challenges in security, energy efficiency, network slicing, and scalability for 6G-IoT convergence.
• To provide a comprehensive research agenda for future work in 6G-enabled IoT systems and architectures.

Proposed method

• Conducting a systematic literature review of 6G and IoT convergence, focusing on recent advancements in radio access, networking, and AI integration.
• Classifying IoT applications based on QoS requirements such as ultra-reliable low-latency communication (URLLC), massive machine-type communication (mMTC), and enhanced mobile broadband (eMBB).
• Analyzing the role of terahertz (THz) bands and integrated sensing and communication (ISAC) in enabling high-capacity, low-latency IoT connectivity.
• Evaluating AI-native network design principles for dynamic resource allocation, self-optimization, and intelligent edge intelligence in 6G-IoT.
• Surveying existing standards and protocols to identify gaps in interoperability, security, and energy efficiency for large-scale IoT deployments.
• Mapping the architectural evolution from 5G to 6G, emphasizing network slicing, edge-cloud integration, and intelligent control planes.

Experimental results

Research questions

• RQ1 What are the key technological enablers that will allow 6G to support the next generation of IoT applications?
• RQ2 How will 6G wireless networks address the diverse QoS demands of heterogeneous IoT services, including URLLC, mMTC, and eMBB?
• RQ3 What are the most promising application domains for 6G-enabled IoT, and what unique capabilities does 6G provide in these contexts?
• RQ4 What are the major open challenges in security, energy efficiency, and scalability for 6G-powered IoT ecosystems?
• RQ5 What research directions are critical to realizing a fully integrated, intelligent, and ubiquitous 6G-IoT society?

Key findings

• 6G wireless networks are expected to support peak data rates exceeding 1 Tbps, enabling ultra-dense, low-latency, and high-reliability IoT connectivity.
• Terahertz (THz) communication bands will be pivotal for achieving multi-gigabit and terabit-per-second data rates in future IoT deployments.
• AI-native networking and machine learning-driven optimization will be essential for dynamic spectrum sharing, resource allocation, and self-healing network operations.
• Integrated Sensing and Communication (ISAC) will allow 6G base stations to simultaneously support communication and environmental sensing, enhancing situational awareness for IoT applications.
• Network slicing and edge intelligence will be critical for supporting diverse IoT workloads with tailored QoS guarantees across industrial, healthcare, and urban environments.
• Significant research gaps remain in energy efficiency, end-to-end security, and interoperability, particularly for massive-scale, low-power IoT devices.