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Towards 6G Internet of Things: Recent Advances, Use Cases, and Open Challenges
Zakria Qadir, Hafiz Suliman Munawar, Nasir Saeed, Khoa Le
TL;DR
The paper addresses the gap between growing IoE application requirements and 5G capabilities. It surveys 6G evolution, trends, enabling technologies, use cases, and challenges, reporting intended gains including 10 times lower latency and 100 times higher connection density than 5G.
Problem
5G supports many IoE services but is inadequate for the complete requirements of emerging smart applications, dense connectivity, and future smart-city systems.
Method
The paper surveys recent 6G advances, network evolution, research trends, enabling technologies, applications, and open challenges, including AI-based network techniques and dynamic network slicing.
Results
6G is intended to provide 10 times lower latency, subcentimeter geo-location accuracy, Tbps transmission rates, and 100 times higher connection density than 5G.
Takeaways & Limitations
The survey presents 6G as a promising direction for supporting diverse next-generation smart systems and exceeding 5G capabilities.
Abstract
from arXiv · showhide
Smart services based on the Internet of Everything (IoE) are gaining considerable popularity due to the ever-increasing demands of wireless networks. This demands the appraisal of the wireless networks with enhanced properties as next-generation communication systems. Although 5G networks show great potential to support numerous IoE based services, it is not adequate to meet the complete requirements of the new smart applications. Therefore, there is an increased demand for envisioning the 6G wireless communication systems to overcome the major limitations in the existing 5G networks. Moreover, incorporating artificial intelligence in 6G will provide solutions for very complex problems relevant to network optimization. Furthermore, to add further value to the future 6G networks, researchers are investigating new technologies, such as THz and quantum communications. The requirements of future 6G wireless communications demand to support massive data-driven applications and the increasing number of users. This paper presents recent advances in the 6G wireless networks, including the evolution from 1G to 5G communications, the research trends for 6G, enabling technologies, and state-of-the-art 6G projects.
I. INTRODUCTION
5G enables IoT-oriented smart services but remains insufficient for emerging applications and dense, dynamic smart-city requirements. The paper motivates 6G as a network generation with stronger connectivity, adaptability, and support for demanding applications.
- 5G capabilities: 5G combines eMBB, mMTC, and uRLLC to support IoT-enabled intelligent services and application-oriented ecosystems.Reported 5G targets include 20 Gbps peak data rate, 3x spectral efficiency, 100x improved energy efficiency, and 1 ms end-to-end latency.
- Motivation for 6G: 5G is not sufficient for future smart communities because growing IoT deployments require reliable connectivity across dense networks.
- Smart-city context: Smart-city digitization increases demand for appropriate management providing ubiquitous solutions across smart cities, disaster management, and related services.
- Emerging applications: Flying cars, extended reality, and telemedicine require high data rates, low latency, and robust cellular connectivity envisioned for 6G.
- Motivation for 6G: Future cellular networks are expected to be highly dynamic and complex, whereas current 4G and 5G architectures are fixed for dedicated tasks.The paper identifies dynamic architecture as necessary for optimization based on user demands.
A. Related Surveys
Prior surveys examine selected 6G technologies, applications, architectures, and challenges, while this survey combines recent advances, use cases, and open challenges across key network dimensions.
- Related surveys: Earlier studies address 6G security and privacy, IoT applications, system parameters, routing, machine learning, blockchain, satellite networks, and architecture requirements.
- Survey scope: This survey focuses on robust connectivity, communication latency, edge computing, UAV applications, and security issues using literature from the previous five years.
- Main contributions: The survey reviews 6G parameters not fully optimized in 5G, including data rate, latency, reliability, accuracy, energy efficiency, AI-IoT connectivity, and 3D MIMO coverage.
- Main contributions: It studies security and privacy in the context of wireless connectivity and applications spanning smart homes, industries, fire detection, and parking.
- Main contributions: An extensive comparison with previous communication technologies highlights shortcomings in earlier architectures.
C. Organization of this paper
The paper is organized from prior-study comparison and mobile-network evolution through 6G trends, requirements, enabling technologies, and conclusions. Its historical overview presents generational progress toward increasingly capable wireless systems.
- Paper organization: Section I compares existing studies and explains the survey’s significance for 6G research.
- Paper organization: Sections II through V cover mobile-network evolution, research and marketing trends, 6G requirements, and enabling technologies.
- Cellular evolution: Mobile networks have advanced gradually across generations in aims, standards, capacities, perspectives, and applied technologies.
- Cellular evolution: 1G introduced analog voice transmission with peak data rates up to 2.4 kbps, while lacking universal standards and exhibiting security, efficiency, and hand-off drawbacks.
- Cellular evolution: 5G targets improved data rates, reliability, latency, energy efficiency, and connectivity, with data rates up to 10 Gbps using a 3.3–4.2 GHz microwave spectrum.
B. Vision of 6G Networks
6G is envisioned as the next mobile-network generation, driven by rising internet usage, expanding connectivity, and demands for substantially higher performance. Research programs and market activity are developing this vision around advanced infrastructure, AI, and high-speed wireless connectivity.
- Vision and performance targets: 6G research targets peak data rates near 1 Tbps, microsecond latency, and 1000-fold capacity improvement over 5G through terahertz frequencies and spatial multiplexing.These targets frame 6G as a response to anticipated performance demands beyond current mobile networks.
- Vision and performance targets: Worldwide internet usage is projected to rise from 7% in 2020 to 43% in 2030 as population and connectivity increase.The paper presents this growth as part of the motivation for upgrading mobile-network generations.
- Research and market trends: 6G development is associated with edge and cloud computing, AI, AI-based chipsets, and a projected market value of 4.1 billion US dollars by 2030.The paper also anticipates approximately 70% annual growth from 2015 to 2030 and more than 240 million AI-based chipsets by 2028.
- Research and market trends: The 6G Flagship program aims to co-create an innovation ecosystem and develop a society supported by unlimited, high-speed wireless connectivity.The program involved Finnish research, academic, industrial, and public-sector organizations, with additional cooperation from South Korea.
- Research and market trends: The survey situates its vision alongside prior technology comparisons and active 6G investigations at research centers and organizations worldwide.The supplied passages identify NYU WIRELESS and United States research programs among these activities.
IV. 6G NETWORKS REQUIREMENTS
The paper presents 6G requirements as a response to limitations in 5G connectivity, packet support, coverage, latency, reliability, data rate, and scalability. It frames 6G as a network able to support demanding smart-city and data-centric applications.
- Survey scope: The survey reviews recent 6G applications, enabling technologies, architectures, performance parameters, and open implementation challenges.Its related-work discussion covers latency, energy consumption, mobility, intelligence, machine learning, and key enabling technologies.
- Application and network requirements: 5G short-packet URLLC does not fully support applications such as telemedicine, haptics, and autonomous vehicles that require long packets, ultrahigh reliability, and high data rates.The paper identifies this mismatch as one limitation of existing 5G networks.
- 5G limitations: Existing 5G shortcomings include short mmWave range, Gbps-level transmission rates, signal interruptions, and limited rural or remote coverage.These limitations motivate requirements for broader and more capable future connectivity.
- Application and network requirements: 6G is intended to provide higher spectral, energy, and cost efficiency, nearly 100% geographical coverage, and 10 times lower latency than 5G.The same description includes subcentimeter geolocation accuracy and submillisecond time synchronization.
C. Reliability
The paper links 6G reliability to stronger performance and broader network resilience, while presenting AI and integrated space-air-ground-sea connectivity as supporting elements. It also describes higher reliability as part of the transition beyond 5G.
- Reliability and intelligence: 6G networks are expected to provide 99.9% reliability, with AI integrated to optimize a wide array of wireless-network problems.The passage presents both reliability and intelligence as expected 6G capabilities.
- Reliability and resilience: 6G is intended to improve reliability, latency, coverage, and data rates beyond 5G while using cloud, fog, and edge computing for processing and network resilience.These distributed-computing technologies are described as integral to synchronization and lower latency.
- Integrated coverage: Integrated space, ground, air, and sea networks are proposed to extend wireless coverage through satellite communication, UAVs, and maritime communication.The paper identifies these components as part of the overview of 6G architecture.
- Survey scope: The survey includes a comprehensive treatment of 6G communication networks and their technologies, architectures, and challenges.The supplied table caption identifies this coverage as a comprehensive survey.
- Reliability and intelligence: AI and machine learning are presented as tools for automation, network management, dynamic instrumentation, and improved next-generation network performance.The passage also associates AI and machine learning with exploring multiple frequency spectra.
G. Security
Security is presented as a necessary part of 6G development across physical and network layers, alongside technologies and architectures intended to support future IoT and automated services. The section also situates security within a broader survey of enabling technologies and open challenges.
- Security requirements: 6G development requires stronger security implementations at both the physical and network layers.The paper identifies security as a key development requirement for future 6G networks.
- Security requirements: 6G is described as inheriting 5G architectural benefits while adding technologies to address future demands.This evolutionary framing places security among the technologies mediated by next-generation communication systems.
- Security context: IoT connects heterogeneous devices for automated sensing, processing, and communication, with projections of up to 500 billion connected devices by 2030.The paper identifies sensors, actuators, smartphones, computers, and RFIDs as examples of connected devices.
- Security context: 6G is expected to support IoT through full-dimensional coverage and integration of sensing, transmission, computation, cognition, and automated control.The paper associates these capabilities with massive coverage and enhanced adaptability for IoT connectivity and service delivery.
- Security context: AI is presented as a central component of self-sufficient 6G networks, supporting automation, real-time transmission, network selection, handover, and complex-problem solving.The paper also notes benefits including increased efficiency and reduced processing delays.
- Security context: AI-based methods are applied across 6G layers, including deep learning for channel estimation and modulation classification and learning-based resource allocation and traffic control.The passage also describes predictive analysis for selecting data-transmission approaches between end users.
C. Integration of Wireless Information and Energy Transfer
Wireless Information and Energy Transfer (WIET) is presented as a 6G technology for extending battery life and supporting battery-less smart devices.
- WIET uses fields and waves similar to those used in wireless communications.
- WIET can lengthen wireless-system battery charging lifetime and support devices without batteries.
- The passage positions WIET as a means of enabling battery-less smart devices while conserving battery life in other devices.
2) Smart Forest Fire Detection:
Edge computing and image processing support smart forest fire detection by enabling timely reporting and faster responses to fires.
- 2) Smart Forest Fire Detection: Smart forest systems collect environmental data through remote sensing to detect wildfires near their beginning phase.
- 2) Smart Forest Fire Detection: Edge computing-based image processing reduces reporting delay for forest fires.
- 2) Smart Forest Fire Detection: Timely reporting enables quicker decisions against fires and supports rescue activities through telecommunication.
F. Dynamic Network Slicing
The section describes dynamic network slicing, beamforming, big-data analytics, and ambient backscatter as technologies supporting flexible and efficient 6G networks.
- F. Dynamic Network Slicing: Dynamic network slicing provides dedicated virtual-network execution and optimized service delivery for vehicles, industries, and machines.
- F. Dynamic Network Slicing: Beamforming directs radio signals through steered antenna arrays, improving coverage, throughput, efficiency, SINR, tracking, and interference control.
- F. Dynamic Network Slicing: Software Defined Antennas are smaller, lighter, cheaper, and lower-power than traditional arrays or MIMO systems.
- F. Dynamic Network Slicing: Big Data Analytics analyzes massive datasets to reveal hidden patterns, unknown correlations, and customer dispositions.
- F. Dynamic Network Slicing: Ambient backscatter enables short-range communication between battery-less devices using available RF signals with negligible power consumption.
J. Proactive Caching
Proactive caching addresses traffic overload in dense 6G small-cell deployments, while related technologies expand connectivity, bandwidth, and service capabilities.
- J. Proactive Caching: Large-scale small-cell deployment can create massive downlink traffic overload at base stations.
- J. Proactive Caching: Proactive caching reduces access delay and offloads traffic, improving quality of user experience.
- J. Proactive Caching: UAVs provide cellular connectivity through installed base-station entities, easy deployment, strong line-of-sight links, and controllable mobility.
- J. Proactive Caching: 6G extends frequency boundaries from mmWave toward THz to meet increasing future communication demands.
- J. Proactive Caching: Adding the 275 GHz–3 THz band to existing mmWave can increase total band capacity by a minimum of 11.11x.
- J. Proactive Caching: THz communications can support wireless sensing, cognition, imaging, positioning, and communication through shorter wavelengths and many antennas.
N. MIMO-Cell-Free Communication
This section presents intelligent surfaces, cell-free and non-orthogonal communications, and blockchain as technologies contributing to 6G networks. It also identifies energy consumption as a limitation of large intelligent surfaces.
- Large intelligent surfaces (LIS) and intelligent reflecting surfaces (IRS) are promising candidate technologies for 6G networks.The LIS concept was first presented using antenna arrays in large MIMO systems.
- LIS can avoid negative antenna-correlation impacts because they are electromagnetically proactive and impose few constraints on antenna spreading.
- LIS consumes substantial power and is not energy efficient because of its active surface property.
- 6G is expected to consolidate communication technologies and frequencies, enabling automatic network selection and shifts toward cell-free and non-orthogonal communications.
- Blockchain can manage 6G spectrum resources without centralized authority while supporting data security, privacy, and regulated access.Reported approaches combine access policies with encryption or use blockchain for accessibility protocols and spectral allocation.
- The paper surveys 6G evolution, research activities, enabling technologies, state-of-the-art systems, and data-rate technologies including THz communication and VLC.