International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
권호 표지
DOI QR코드

DOI QR Code

Mobile Ultra-Broadband, Super Internet-of-Things and Artificial Intelligence for 6G Visions

  • Received : 2023.12.05
  • Published : 2023.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

Smart applications based on the Network of Everything also known as Internet of Everything (IoE) are increasing popularity as network connectivity requires rise further. As a result, there will be a greater need for developing 6G technologies for wireless communications in order to overcome the primary limitations of visible 5G networks. Furthermore, implementing neural networks into 6G will bring remedies for the most complex optimizing networks challenges. Future 6G mobile phone networks must handle huge applications that require data and an increasing amount of users. With a ten-year time skyline from thought to the real world, it is presently time for pondering what 6th era (6G) remote correspondence will be just before 5G application. In this article, we talk about 6G dreams to clear the street for the headway of 6G and then some. We start with the conversation of imaginative 5G organizations and afterward underline the need of exploring 6G. Treating proceeding and impending remote organization improvement in a serious way, we expect 6G to contain three critical components: cell phones super broadband, very The Web of Things (or IoT and falsely clever (artificial intelligence). The 6G project is currently in its early phases, and people everywhere must envision and come up with its conceptualization, realization, implementation, and use cases. To that aim, this article presents an environment for Presented Distributed Artificial Intelligence as-a-Services (DAIaaS) supplying in IoE and 6G applications. The case histories and the DAIaaS architecture have been evaluated in terms of from end to end latency and bandwidth consumption, use of energy, and cost savings, with suggestion to improve efficiency.

Keywords

References

  1. S. Chen, Y.-C. Liang, S. Sun, S. Kang, W. Cheng, M. Peng, Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data-rate and movement speed, IEEE Wirel. Commun. 27 (2) (2020) 218-228. https://doi.org/10.1109/MWC.001.1900333
  2. M.H. Alsharif, A.H. Kelechi, M.A. Albreem, et al., Sixth generation (6G) wireless networks: Vision, research activities, challenges and potential solutions. Symmetry, Symmetry 12 (676) (2020) 4.
  3. L.U. Khan, I. Yaqoob, M. Imran, et al., 6G wireless systems: A vision, architectural elements, and future directions, IEEE Access 8 (14) (2020) 14704-47029. https://doi.org/10.1109/ACCESS.2020.2966652
  4. S. Basharat, S. Ali Hassan, H. Pervaiz, A. Mahmood, Z. Ding, M. Gidlund, Reconfigurable intelligent surfaces: Potentials, applications, and challenges for 6G wireless networks, IEEE Wirel. Commun. (2021) 1-8. [6]
  5. H. Wang, W. Wang, X. Chen, et al., Wireless Information and Energy Transfer in Interference Aware Massive MIMO Systems, IEEE Global Communications Conference, 2014.
  6. X. You, C.-X. Wang, J. Huang, et al., Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts, Sci. China Inf. Sci. 64 (1) (2021) 1-74.
  7. V.-L. Nguyen, P.-C. Lin, B.-C. Cheng, R.-H. Hwang, Y.-D. Lin, Security and privacy for 6G: A survey on prospective technologies and challenges, IEEE Commun. Surv. Tutor. (2021) 1.
  8. D.C. Nguyen, M. Ding, P.N. Pathirana, A. Seneviratne, J. Li, D. Niyato, O. Dobre, H.V. Poor, 6G Internet of Things: A comprehensive survey, IEEE Internet Things J. (2021) 1.
  9. N.-N. Dao, Q.-V. Pham, N.H. Tu, T.T. Thanh, V.N.Q. Bao, D.S. Lakew, S. Cho, and Survey on aerial radio access networks: Toward a comprehensive 6G access infrastructure, IEEE Commun. Surv. Tutor. 23 (2) (2021) 1193-1225. https://doi.org/10.1109/COMST.2021.3059644
  10. C.D. Alwis, A. Kalla, Q.-V. Pham, P. Kumar, K. Dev, W.-J. Hwang, M. Liyanage, Survey on 6G frontiers: Trends, applications, requirements, technologies and future research, IEEE Open J. Commun. Soc. 2 (2021) 836-886. https://doi.org/10.1109/OJCOMS.2021.3071496
  11. Qi, Q.; Chen, X.; Zhong, C.; Zhang, Z. Integration of Energy, Computation and Communication in 6G Cellular Internet of Things. IEEE Commun. Lett. 2020, 24, 1333-1337. https://doi.org/10.1109/LCOMM.2020.2982151
  12. Liu, C.; Feng, W.; Tao, X.; Ge, N. MEC-Empowered NonTerrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things. Engineering 2022, 8, 96-107. https://doi.org/10.1016/j.eng.2021.11.002
  13. Padhi, P. K., & Charrua-Santos, F. (2021). 6G enabled tactile internet and cognitive internet of healthcare everything: Towards a theoretical framework. Applied System Innovation, 4(3), 66.
  14. Zhang, L., Liang, Y. C., & Niyato, D. (2019). 6G Visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence. China Communications, 16(8), 1-14. https://doi.org/10.23919/JCC.2019.08.001
  15. Mistry, Z., Kumar Yadav, A., & Kothari, M. (2021). A Review on 6th Generation Wireless Communication Networks Based on Artificial Intelligence. Innovations in Cyber Physical Systems: Select Proceedings of ICICPS 2020, 275-286.
  16. Seng, K. P., Ang, L. M., & Ngharamike, E. (2022). Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks. International Journal of Distributed Sensor Networks, 18(3), 15501477211062835.\
  17. Gai, R., Du, X., Ma, S., Chen, N., & Gao, S. (2021, March). A Summary of 5G applications and prosprcts of 5G in the Internet of Things. In 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) (pp. 858-863). IEEE.
  18. Iliev, T. B., Ivanova, E. P., Stoyanov, I. S., Mihaylov, G. Y., & Beloev, I. H. (2021, September). Artificial intelligence in wireless communications-evolution towards 6G mobile networks. In 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) (pp. 432-437). IEEE.
  19. Ndiaye, M., Saley, A. M., Niane, K., & Raimy, A. (2022, March). Future 6G communication networks: Typical IoT network topology and Terahertz frequency challenges and research issues. In 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) (pp. 1-5). IEEE.
  20. Wang, Z., Du, Y., Wei, K., Han, K., Xu, X., Wei, G., ... & Su, X. (2022). Vision, application scenarios, and key technology trends for 6G mobile communications. Science China Information Sciences, 65(5), 151301.
  21. Iannacci, J. (2021, August). The WEAF mnecosystem: A perspective of MEMS/NEMS technologies as pillars of future 6G, super-IoT and tactile internet. In 2021 IEEE International Conference on Smart Internet of Things (SmartIoT) (pp. 52-59). IEEE.
  22. Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224.
  23. Nazar, M.J.; Alhudhaif, A.; Qureshi, K.N.; Iqbal, S.; Jeon, G. Signature and flow statistics based anomaly detection system in software-defined networking for 6G internet of things network. Int. J. Syst. Assur. Eng. Manag. 2023, 14, 87-97.
  24. Li, Q.; Xiao, R. The use of data mining technology in agricultural e-commerce under the background of 6G Internet of things communication. Int. J. Syst. Assur. Eng. Manag. 2021, 12, 813-823. https://doi.org/10.1007/s13198-021-01108-9
  25. Qi, F.; Li, W.; Yu, P.; Feng, L.; Zhou, F. Deep learning-based BackCom multiple beamforming for 6G UAV IoT networks. EURASIP J. Wirel. Commun. Netw. 2021, 2021, 50.
  26. Lyu, B.; He, M. The application of artificial intelligence technology of 6G internet of things communication combined with drama language art. Int. J. Syst. Assur. Eng. Manag. 2021, 12, 864-870. https://doi.org/10.1007/s13198-021-01142-7
  27. Yigitcanlar, T.; Butler, L.; Windle, E.; DeSouza, K.C.; Mehmood, R.; Corchado, J.M. Can Building "Artificially Intelligent Cities" Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar's Perspective. Sensors 2020, 20, 2988.
  28. Mehmood, R.; See, S.; Katib, I.; Chlamtac, I. Smart Infrastructure and Applications: Foundations for Smarter Cities and Societies. In EAI/Springer Innovations in Communication and Computing; Springer International Publishing: New York, NY, USA; Springer Nature Switzerland AG: Cham, Switzerland, 2020; p. 692.
  29. Bibri, S.E.; Krogstie, J. The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: A review and synthesis. J. Big Data 2017, 4, 1-50. https://doi.org/10.1186/s40537-017-0091-6
  30. Muhammed, T.; Albeshri, A.; Katib, I.; Mehmood, R. UbiPriSEQ: Deep Reinforcement Learning to Manage Privacy, Security, Energy, and QoS in 5G IoT HetNets. Appl. Sci. 2020, 10, 7120.