Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26820
Title: Beyond 5G networks: Integration of communication, computing, caching, and control
Authors: Adam, MM
Zhao, L
Wang, K
Han, Z
Keywords: 4C;6G;integration of communication;computing;caching and control;i4C;multi-access edge computing (MEC)
Issue Date: 28-Feb-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Adam, M.M. et al. (2023) 'Beyond 5G networks: Integration of communication, computing, caching, and control', China Communications, 20 (7), pp. 137 - 174. doi: 10.23919/JCC.2023.00.039.
Abstract: In recent years, the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks. Such challenges can be potentially overcome by integrating communication, computing, caching, and control (i4C) technologies. In this survey, we first give a snapshot of different aspects of the i4C, comprising background, motivation, leading technological enablers, potential applications, and use cases. Next, we describe different models of communication, computing, caching, and control (4C) to lay the foundation of the integration approach. We review current state-of-the-art research efforts related to the i4C, focusing on recent trends of both conventional and artificial intelligence (AI)-based integration approaches. We also highlight the need for intelligence in resources integration. Then, we discuss integration of sensing and communication (ISAC) and classify the integration approaches into various classes. Finally, we propose open challenges and present future research directions for beyond 5G networks, such as 6G.
Description: The file on this institutional repository was accepted for inclusion in a future issue of China Communications Journal on IEEE Xplore. The accepted version, arXiv:2212.13141v1 [cs.NI] https://doi.org/10.48550/arXiv.2212.13141 is available online at: https://arxiv.org/abs/2212.13141.
URI: https://bura.brunel.ac.uk/handle/2438/26820
DOI: https://doi.org/10.23919/JCC.2023.00.039
ISSN: 1673-5447
Other Identifiers: ORCID iD: Kezhi Wang https://orcid.org/0000-0001-8602-0800
Appears in Collections:Dept of Computer Science Research Papers

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