2020
DOI: 10.1109/mnet.011.2000195
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Artificial-Intelligence-Enabled Intelligent 6G Networks

Abstract: With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projection) with colorful requirements, current networks (e.g., 4G and upcoming 5G networks) may not be able to completely meet quickly rising traffic demands. Accordingly, efforts from both industry and academia have already been put to the research on 6G networks. Recently, artificial intelligence (AI) has been utilized as a new paradigm f… Show more

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Cited by 407 publications
(209 citation statements)
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“…(vi) Intelligent network: Starting from the physical layer to the applications, the AI will be predominant and distributed across different network entities such as core, access network, and terminal users. Thus, 6G will transit from smart network (as in 5G) to an intelligent network [36,81]. (vii) Ultra-smart devices: The existing hand-held smartphones will become obsolete and they will be replaced by…”
Section: A Transition From 5g To 6g: Gaps and Recommendationsmentioning
confidence: 99%
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“…(vi) Intelligent network: Starting from the physical layer to the applications, the AI will be predominant and distributed across different network entities such as core, access network, and terminal users. Thus, 6G will transit from smart network (as in 5G) to an intelligent network [36,81]. (vii) Ultra-smart devices: The existing hand-held smartphones will become obsolete and they will be replaced by…”
Section: A Transition From 5g To 6g: Gaps and Recommendationsmentioning
confidence: 99%
“…The requirements of the aforementioned industries and applications cannot be met by 5G networks. Thus, leading to the contemplation of 6G networks as an ultimate ecosystem of communication technology solutions [34][35][36][37]. It should be noted that the 6G network is not just about exploring new frequency bands, architecture, and access schemes to support high data rates.…”
Section: Vision and Kpis Of 6gmentioning
confidence: 99%
“…Recently, a number of existing works such as [3], [17] and [18] have focused on analysing and studying important problems related to the use and implementation of ML over wireless networks. The authors in [19] stated that new generation wireless network can influence intelligent functions by integration with ML at wireless core and edge infrastructure. The authors in [20] focused on vision and research on 6G in coming decade.…”
Section: A Related Work Comparisonmentioning
confidence: 99%
“…At the application level, ML uses powerful functions in terms of using the location of users to provide sensitive information, performing face recognition, etc. which have provided revolutionary changes for meeting the rising demands of low latency and faster processing [19]. Application layer act as the interface between the user and smart applications where the main aim of the application layer is the effective management of resources, automation of tasks, and improvement of security and safety through ubiquitous and continuous monitoring.…”
Section: A ML At Application Levelmentioning
confidence: 99%
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