Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges

Quy, Vu Khanh; Hoai, Nam Vi; Manh, Linh Dao; Ngoc, Le Anh; Jeon, Gwanggil

doi:10.1155/2022/3229294

Cited by 124 publications

(52 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although edge computing reduces latency, offers low operating costs, and increases consumer satisfaction, it also brings new challenges in the field of privacy and energy efficiency [12]. Enormous real-time data collection from mobile devices, and the challenge of storing and processing them in edge servers could potentially lead to a violation of the security and confidentiality of the data.…”

Section: Edge Computingmentioning

confidence: 99%

See 1 more Smart Citation

Integration of Network Slicing and Machine Learning into Edge Networks for Low-Latency Services in 5G and beyond Systems

2022

View full text Add to dashboard Cite

Fifth-generation (5G) and beyond networks are envisioned to serve multiple emerging applications having diverse and strict quality of service (QoS) requirements. To meet ultra-reliable and low latency communication, real-time data processing and massive device connectivity demands of the new services, network slicing and edge computing, are envisioned as key enabling technologies. Network slicing will prioritize virtualized and dedicated logical networks over common physical infrastructure and encourage flexible and scalable networks. On the other hand, edge computing offers storage and computational resources at the edge of networks, hence providing real-time, high-bandwidth, low-latency access to radio network resources. As the integration of two technologies delivers network capabilities more efficiently and effectively, this paper provides a comprehensive study on edge-enabled network slicing frameworks and potential solutions with example use cases. In addition, this article further elaborated on the application of machine learning in edge-sliced networks and discussed some recent works as well as example deployment scenarios. Furthermore, to reveal the benefits of these systems further, a novel framework based on reinforcement learning for controller synchronization in distributed edge sliced networks is proposed.

show abstract

Section: Edge Computingmentioning

confidence: 99%

“…It should be noted that network slicing may also give rise to privacy and security issues [12,17]. Unlike previous generations, where only mobile operators had access and control over the system components, 5G and beyond networks allow many partners to slice network components for different use cases and vertical-specific blocks.…”

Section: Network Slicingmentioning

confidence: 99%

Integration of Network Slicing and Machine Learning into Edge Networks for Low-Latency Services in 5G and beyond Systems

2022

View full text Add to dashboard Cite

show abstract

“…[44,45]. As Khanh, Quy Vu, et al highlighted in [127], the power of 5G enables cellular and mobile communication networks to connect to hundreds of billions of devices with extreme-high throughput and extreme-low latency, including IoT, smart connected vehicles, smart cities, smart agriculture, smart retail, intelligent transportation systems. Built on many existing cellular infrastructures, C-V2X service covers large areas, and has a high penetration rate and low cost to potentially support the high-bandwidth demands and QoS-sensitive requirements of vehicular applications.…”

Section: Cellular Networkmentioning

confidence: 99%

Security Issues and Solutions for Connected and Autonomous Vehicle in Sustainable City: A Survey

Wang¹,

Wei²,

Wang³

et al. 2022

Preprint

View full text Add to dashboard Cite

Connected and Autonomous Vehicle (CAV) combines technologies of autonomous vehicle (AV) and connected vehicles (CV) to develop quicker, more reliable and safer traffic. Artificial Intelligence (AI) based CAV solutions play significant roles in sustainable city. The convergence imposes stringent security requirements for CAV safety and reliability. In practice, vehicles are developed with increased automation and connectivity. Increased automation increases the reliance on the sensor-based technologies and decreases the reliance on driver; increased connectivity increases the exposures of vehicles vulnerability and increases the risk for an adversary to implement a cyber-attack. Much work has been dedicated to identifying the security vulnerabilities and recommending mitigation techniques associated with different sensors, controllers, and connection mechanisms, respectively. However, there is an absence of comprehensive and in-depth studies to identify how the cyber-attacks exploit the vehicles vulnerabilities to negatively impact the performance and operations of CAV. In this survey, we set out to thoroughly review the security issues introduced by AV and CV technologies, analyze how the cyber-attacks impact the performance of CAV, and summarize the solutions correspondingly. The impact of cyber-attacks on the performance of CAV is elaborated from both viewpoints of intra-vehicle system and inter-vehicle system. We pointed out that securing the perception and operations of CAV would be the top requirement to enable CAV to be applied safely and reliably in practice. Also, we suggested to utilize cloud and new AI methods to defend against smart cyber-attacks on CAV.

show abstract

“…With the breakthroughs in mobile communication technologies, the fifth generation of mobile communication technologies has become one of the most exciting and challenging topics in the research field today [1]. The limitations of 4G technology indicate that the arrival of 5G is an inevitable trend, and 5G technology will further optimize the Internet of Things [1]. According to Cisco, by 2030, 5G applications will bring about USD 1.3 trillion of growth in global GDP, and more than 500 billion devices will be connected to the Internet.…”

Section: Introductionmentioning

confidence: 99%

“…Ericsson's Mobile Trends report shows that 94% of business respondents believe that next-generation mobile networks are critical to the strategic development of their business [8]. As the next generation of mobile technology, 5G will create value for a wide range of industries and society as a whole [1].…”

Section: Introductionmentioning

confidence: 99%

Product Innovation and Design Strategies for 5G Technology in China’s Home Appliance Companies

Cao

Hsu

2022

Sustainability

View full text Add to dashboard Cite

With the continuous evolution of mobile communication systems, 5G technology has become a key driver for a smart home appliance ecosystem. Fifth-generation technology may create opportunities and threats for the home appliance industry in the stock market, and so companies that do not actively engage in product innovation activities will eventually be eliminated from the market because their products are not on trend. This study investigates Chinese household appliance industry firms to identify their innovation strategies, applied to cope with global competition and gain a competitive advantage, and explores the correlation and operation mode between innovation strategies and design strategies. For this study, we administered a questionnaire to analyze three innovation clusters for Chinese household appliance firms. Interviews were conducted to further understand the design strategies and priorities of Chinese home appliance companies in response to 5G technology, to explore the relationship between innovation strategies and product design strategies, and to provide a reference for the product design strategies of home appliance companies in response to global competition.

show abstract

Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges

Cited by 124 publications

References 49 publications

Integration of Network Slicing and Machine Learning into Edge Networks for Low-Latency Services in 5G and beyond Systems

Integration of Network Slicing and Machine Learning into Edge Networks for Low-Latency Services in 5G and beyond Systems

Security Issues and Solutions for Connected and Autonomous Vehicle in Sustainable City: A Survey

Product Innovation and Design Strategies for 5G Technology in China’s Home Appliance Companies

Contact Info

Product

Resources

About