A vision of 6G – 5G's successor

Lu, Yang; Ning, Xue

doi:10.1080/23270012.2020.1802622

Cited by 43 publications

(32 citation statements)

References 81 publications

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“…In general, most of the technology components of 6G networks are in the infancy stage. Therefore, there will be several challenges, such as training the AI models, security issues, lack of architecture, signal modeling, and computational facilities [96][97][98]. In addition, the authors have proposed several KPIs for future networks, compared them with 5G networks, and listed several technology gaps in the inception of 6G networks [35,[39][40]107].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Motivated by the current research on 6G networks and its technological components, in this manuscript, we will discuss various aspects of future networks. Several kinds of literature have shed light on vision, requirements [1][2][3][4][5][6][7][8][9], technologies [10][11][12][13][14][15], use cases [96][97][98], of 6G networks. In this paper, we outline the key points from the previous research and provide insight into the future research trends in 6G networks.…”

Section: Introductionmentioning

confidence: 99%

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6G Ecosystem: Current Status and Future Perspective

Bhat¹,

AlQahtani

2021

IEEE Access

177

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Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID'19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

6G Ecosystem: Current Status and Future Perspective

Bhat¹,

AlQahtani

2021

IEEE Access

177

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“…This implied that the emergence of new mobile communication technology did not propel existing technology to exit the market immediately. With the incremental improvement and decrease of utilization costs, the market shares of 3G/4G technologies increased quickly and the new technology soon dominated the market (Aceto et al 2020;Li et al 2013Li et al , 2018Lu 2020;Lu and Ning 2020;Lu & Zheng 2020;Xu 2016;Xu and Duan 2019;Xu, He Li 2014). In January 2009, the Ministry of Industry and Information Technology granted 3G license to China Telecom, China Mobile, and China Unicom, the main cell phone network carriers in China.…”

Section: The Breakthrough Of Radical Innovationmentioning

confidence: 99%

Exploring the Formation Mechanism of Radical Technological Innovation

Sun

Wang

et al. 2022

Journal of Global Information Management

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This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and provides supports for policy making and guidance for industries/enterprises practices regarding technological innovation in emerging economies.

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“…In addition, 5G can have an important impact on remote video games and augmented reality on mobile devices which do not have powerful enough processors to handle graphic data. In addition, to overcome the disadvantage of 5G limited by cellular towers, 6G empowered by satellites is also under the development to establish full coverage of the air-space-sea-land system (Lu & Ning, 2020 ).…”

Section: Current Interdisciplinary Research Between Data Analytics and Industry 40mentioning

confidence: 99%

Data Analytics in Industry 4.0: A Survey

Duan

2021

Inf Syst Front

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Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend.

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A vision of 6G – 5G's successor

Cited by 43 publications

References 81 publications

6G Ecosystem: Current Status and Future Perspective

6G Ecosystem: Current Status and Future Perspective

Exploring the Formation Mechanism of Radical Technological Innovation

Data Analytics in Industry 4.0: A Survey

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