სამეცნიერო-პრაქტიკული კიბერ უსაფრთხოების ჟურნალი| ISSN 2587-4667

OVERVIEW OF RESEARCH TRENDS AND CHALLENGES IN 6G MOBILE NETWORKS AND THE COMPUTING CONTINUUM

ავტორი: Stojan Kitanov, Dragi Kimovski, Fisnik Doko, Kurt Horvath, Shpresa Tuda, Blerta Idrizi
ორგანიზაცია: Mother Teresa University, Alpen Audria University of Klagenfurt

კატეგორია:

ინფორმაციული უსაფრთხოება, კიბერ უსაფრთხოება, ქსელის უსაფრთხოება
საკვანძო სიტყვები: AI (Artificial Intelligence), Cloud Computing, Computing Continuum, Distributed AI, Fog Computing, Mobile Edge Computing, 5G, B5G, 6G
აბსტრაქტი. The rapid proliferation of IoT devices, coupled with the generated exponential growth of data, has necessitated the development of advanced network architectures. As a result, 5G mobile networks have already begun to face challenges such as network congestion, latency, and scalability limitations. Therefore, the need for a robust and future-proof solution becomes increasingly evident. In this direction, many research initiatives and industrial communities started to work on the development of 6G mobile networks. On the other hand, the emerging concept of Computing Continuum encompasses the seamless integration of edge, fog, and cloud computing resources to provide a unified and distributed computing environment, and it aims to enable real-time data processing, low-latency response, and intelligent decision-making at the network edge. The primary objective of this research paper is to address the shortcomings of existing network infrastructures and to overcome these shortcomings by integrating advanced AI capabilities in 6G mobile networks with the Computing Continuum. Moreover, it would be proposed a Computing Continuum Middleware for Artificial Intelligence over 6G networks, which would offer high-level and well-defined (“standardized”) interfaces which would create an automated, sustainable loop for managing IoT applications utilizing AI approaches over 6G networks.
 სტატიის მთლიანად ნახვა

ბიბლიოგრაფია

Balali, Farhad, Jessie Nouri, Adel Nasiri, and Tian Zhao. Data Intensive Industrial Asset Management. Springer eBooks, 2020. https://doi.org/10.1007/978-3-030-35930-0
Choudhury, Alok, Manojit Ghose, Akhirul Islam, and None Yogita. “Machine Learning-based Computation Offloading in Multi-access Edge Computing: A Survey.” Journal of Systems Architecture 148 (February 16, 2024): 103090. https://doi.org/10.1016/j.sysarc.2024.103090.
Clemm, Alexander, Maria Torres Vega, Hemanth Kumar Ravuri, Tim Wauters, and Filip De Turck. “Toward Truly Immersive Holographic-Type Communication: Challenges and Solutions.” IEEE Communications Magazine 58, no. 1 (January 1, 2020): 93–99. https://doi.org/10.1109/mcom.001.1900272.
Du, Jun, Chunxiao Jiang, Jian Wang, Yong Ren, and Merouane Debbah. “Machine Learning for 6G Wireless Networks: Carrying Forward Enhanced Bandwidth, Massive Access, and Ultrareliable/Low-Latency Service.” IEEE Vehicular Technology Magazine 15, no. 4 (September 25, 2020): 122–34. https://doi.org/10.1109/mvt.2020.3019650.
Hao, Tianshu, Jianfeng Zhan, Kai Hwang, Wanling Gao, and Xu Wen. AI-oriented Workload Allocation for Cloud-Edge Computing, 2021. https://doi.org/10.1109/ccgrid51090.2021.00065.
Huang, Yakun, Boyuan Bai, Yuanwei Zhu, Xiuquan Qiao, Xiang Su, Lei Yang, and Ping Zhang. “ISCom: Interest-Aware Semantic Communication Scheme for Point Cloud Video Streaming on Metaverse XR Devices.” IEEE Journal on Selected Areas in Communications 42, no. 4 (December 22, 2023): 1003–21. https://doi.org/10.1109/jsac.2023.3345430.
Jiang, Dajie, and Guangyi Liu. “An Overview of 5G Requirements.” In Springer eBooks, 3–26, 2016. https://doi.org/10.1007/978-3-319-34208-5_1.
Khan, Atta Ur Rehman, Mazliza Othman, Sajjad Ahmad Madani, and Samee Ullah Khan. “A Survey of Mobile Cloud Computing Application Models.” IEEE Communications Surveys & Tutorials 16, no. 1 (July 4, 2013): 393–413. https://doi.org/10.1109/surv.2013.062613.00160.
Khan, Latif U., Ibrar Yaqoob, Muhammad Imran, Zhu Han, and Choong Seon Hong. “6G Wireless Systems: A Vision, Architectural Elements, and Future Directions.” IEEE Access 8 (January 1, 2020): 147029–44. https://doi.org/10.1109/access.2020.3015289.
Kibria, Mirza Golam, Kien Nguyen, Gabriel Porto Villardi, Ou Zhao, Kentaro Ishizu, and Fumihide Kojima. “Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks.” IEEE Access 6 (January 1, 2018): 32328–38. https://doi.org/10.1109/access.2018.2837692.
Kimovski, Dragi, Roland Matha, Josef Hammer, Narges Mehran, Hermann Hellwagner, and Radu Prodan. “Cloud, Fog, or Edge: Where to Compute?” IEEE Internet Computing 25, no. 4 (February 9, 2021): 30–36. https://doi.org/10.1109/mic.2021.3050613.
Kitanov, Stojan, Edmundo Monteiro, and Toni Janevski. 5G And the Fog — Survey of Related Technologies and Research Directions, 2016. https://doi.org/10.1109/melcon.2016.7495388
Kitanov, Stojan, Ivan Petrov, and Toni Janevski. “6G MOBILE NETWORKS: RESEARCH TRENDS, CHALLENGES AND POTENTIAL SOLUTIONS.” Journal of Electrical Engineering and Information Technologies 6, no. 2 (January 1, 2021): 67–77. https://doi.org/10.51466/jeeit2162186067k.
Kitanov, Stojan, and Vladimir Nikolikj. “The Role of Edge Artificial Intelligence in 6G Networks.” 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), June 16, 2022, 1–4. https://doi.org/10.1109/icest55168.2022.9828567.
Kumar, Jaydip, Jitendra K Samriya, Marek Bolanowski, Andrzej Paszkiewicz, Wiesław Pawłowski, Maria Ganzha, Katarzyna Wasielewska-Michniewska, et al. “Towards 6G-Enabled Edge-Cloud Continuum Computing – Initial Assessment.” In Communications in Computer and Information Science, 1–15, 2023. https://doi.org/10.1007/978-3-031-25088-0_1.
Letaief, Khaled B., Wei Chen, Yuanming Shi, Jun Zhang, and Ying-Jun Angela Zhang. “The Roadmap to 6G: AI Empowered Wireless Networks.” IEEE Communications Magazine 57, no. 8 (August 1, 2019): 84–90. https://doi.org/10.1109/mcom.2019.1900271.
Nawaz, Syed Junaid, Shree Krishna Sharma, Shurjeel Wyne, Mohammad N. Patwary, and Md. Asaduzzaman. “Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future.” IEEE Access 7 (January 1, 2019): 46317–50. https://doi.org/10.1109/access.2019.2909490.
Rashid, Adib Bin, and Md Ashfakul Karim Kausik. “AI Revolutionizing Industries Worldwide: A Comprehensive Overview of Its Diverse Applications.” Hybrid Advances 7 (August 23, 2024): 100277. https://doi.org/10.1016/j.hybadv.2024.100277.
“Report ITU-R M.2370-0.” IMT Traffic Estimates for the Years 2020 to 2030, 2015.
Saad, Walid, Mehdi Bennis, and Mingzhe Chen. “A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems.” IEEE Network 34, no. 3 (October 15, 2019): 134–42. https://doi.org/10.1109/mnet.001.1900287.
Seng, Kah Phooi, Li Minn Ang, and Ericmoore Ngharamike. “Artificial Intelligence Internet of Things: A New Paradigm of Distributed Sensor Networks.” International Journal of Distributed Sensor Networks 18, no. 3 (March 1, 2022): 155014772110628. https://doi.org/10.1177/15501477211062835.
Shahraki, Amin, Mahmoud Abbasi, Md. Jalil Piran, and Amir Taherkordi. “A Comprehensive Survey on 6G Networks:Applications, Core Services, Enabling Technologies, and Future Challenges.” arXiv.org, January 29, 2021. https://arxiv.org/abs/2101.12475.
Strinati, Emilio Calvanese, Sergio Barbarossa, Jose Luis Gonzalez-Jimenez, Dimitri Ktenas, Nicolas Cassiau, Luc Maret, and Cedric Dehos. “6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication.” IEEE Vehicular Technology Magazine 14, no. 3 (August 8, 2019): 42–50. https://doi.org/10.1109/mvt.2019.2921162.
Tang, Fengxiao, Yuichi Kawamoto, Nei Kato, and Jiajia Liu. “Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches.” Proceedings of the IEEE 108, no. 2 (December 6, 2019): 292–307. https://doi.org/10.1109/jproc.2019.2954595
Tariq, Faisal, Muhammad R. A. Khandaker, Kai-Kit Wong, Muhammad A. Imran, Mehdi Bennis, and Merouane Debbah. “A Speculative Study on 6G.” IEEE Wireless Communications 27, no. 4 (August 1, 2020): 118–25. https://doi.org/10.1109/mwc.001.1900488
Tarneberg, William, Emma Fitzgerald, Monowar Bhuyan, Paul Townend, Karl-Erik Arzen, Per-Olov Ostberg, Erik Elmroth, Johan Eker, Fredrik Tufvesson, and Maria Kihl. The 6G Computing Continuum (6GCC): Meeting the 6G Computing Challenges, 2022. https://doi.org/10.1109/6gnet54646.2022.9830459
“Transforming Our World: The 2030 Agenda for Sustainable Development | Department of Economic and Social Affairs,” n.d. https://sdgs.un.org/2030agenda
Zhang, Shangwei, Jiajia Liu, Hongzhi Guo, Mingping Qi, and Nei Kato. “Envisioning Device-to-Device Communications in 6G.” IEEE Network 34, no. 3 (March 27, 2020): 86–91. https://doi.org/10.1109/mnet.001.1900652.