Devices Communication: Hindrances Toward 6G Network IoT

Devices Communication: Hindrances Toward 6G Network IoT
  IJETT-book-cover           
  
© 2021 by IJETT Journal
Volume-69 Issue-9
Year of Publication : 2021
Authors : Mochammad Haldi Widianto, Maria Artanta Ginting, Johan Muliadi Kerta
DOI :  10.14445/22315381/IJETT-V69I9P217

How to Cite?

Mochammad Haldi Widianto, Maria Artanta Ginting, Johan Muliadi Kerta, "Devices Communication: Hindrances Toward 6G Network IoT," International Journal of Engineering Trends and Technology, vol. 69, no. 9, pp. 140-145, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I9P217

Abstract
Internet of Things (IoT) as a future tool that will be used for every line of life, socialization, and business in every corner of cities and villages, networks have been built to connect IoT communications, transportation, and human communication in the future. This is a very difficult challenge to implement. However, the rapid growth of devices, especially those with artificial intelligence, networks, heterogeneous, dynamic, and large-scale, making it difficult to meet requirements, especially the International Telecommunication Union (ITU), such as very low latency, high surveillance, high security, and generation the next massive connection (6G). Recently, 6G learning has emerged as a technique that will help all robust IoT communications make device and wireless connections highly efficient and adaptable. Naturally, the adoption of 6G into IoT communications and networks is a specialized topic and is being studied widely in academia and industry, paving the way for the future of IoT in 6G networks. In this research, the author gives a warm welcome h respect to different IoT methods connected to 6G network communication, 6G learning keys, and several opportunities to conduct research on IoT in general for the world.

Keywords
Internet of Things, 6G, Communication

Reference
[1] S. Elmeadawy and R. M. Shubair, 6G Wireless Communications : Future Technologies and Research Challenges, (2019).
[2] J. F. Monserrat and D. Mart, Key Technologies for the Advent of the 6G.
[3] J. M. C. Brito, Brazil 6G Project – An Approach to Build a Nationalwise Framework for 6G Networks, (2020) 20–24.
[4] T. Huang, W. U. Yang, and J. U. N. Wu, A Survey on Green 6G Network : Architecture and Technologies,7(2019).
[5] K. Drivers, C. Requirements, and S. Architectures, 6G Technologies: Key Drivers, Core Requirements, System Architectures, and Enabling Technologies, IEEE Veh. Technol. Mag., PP 1, (2019).
[6] L. Bariah, L. Mohjazi, and S. Muhaidat, A Prospective Look : Key Enabling Technologies, Applications and Open Research Topics in 6G Networks, 4 (2020) 1–28.
[7] O. Lopez et al., White Paper on Critical and Massive Machine Type Communication Towards 6G, (2020).
[8] J. Zhu, M. Zhao, S. Zhang, and W. Zhou, Exploring the Road to 6G : ABC - Foundation for Intelligent Mobile Networks, (2019) 51–67.
[9] Q. Yu, J. Ren, H. Zhou, and W. Zhang, A Cybertwin based Network Architecture for 6G, (2020).
[10] K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y. J. A. Zhang, The Roadmap to 6G: AI Empowered Wireless Networks, IEEE Commun. Mag., 57(8) (2019) 84–90.
[11] N. H. Mahmood, H. Alves, O. A. Lopez, M. Shehab, D. P. M. Osorio, and M. Latva-Aho, Six key features of machine type communication in 6G, 2nd 6G Wirel. Summit 2020 Gain Edge 6G Era, 6G SUMMIT (2020) 16–20.
[12] M. Matinmikko-Blue, S. Yrjola, and P. Ahokangas, Spectrum management in the 6G Era: The role of regulation and spectrum sharing, 2nd 6G Wirel. Summit 2020 Gain Edge 6G Era, 6G SUMMIT (2020) 1–5.
[13] L. Mucchi et al., How 6G technology can change the future wireless healthcare, 2nd 6G Wirel. Summit 2020 Gain Edge 6G Era, 6G SUMMIT 2020, 2020.
[14] F. Tang, Y. Kawamoto, N. Kato, and J. Liu, Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches, Proc. IEEE, 108(2)(2020) 292–307.
[15] B. Sliwa, R. Falkenberg, and C. Wietfeld, Towards cooperative data rate prediction for future mobile and vehicular 6g networks, 2nd 6G Wirel. Summit 2020 Gain Edge 6G Era, 6G SUMMIT (2020) 7–11.
[16] C. Sergiou, M. Lestas, P. Antoniou, C. Liaskos, and A. Pitsillides, Complex Systems: A Communication Networks Perspective towards 6G, IEEE Access, 8 (2020) 89007–89030.
[17] T. Nguyen, N. Tran, L. Loven, J. Partala, M. T. Kechadi, and S. Pirttikangas, Privacy-aware blockchain innovation for 6G: Challenges and opportunities, 2nd 6G Wirel. Summit 2020 Gain Edge 6G Era, 6G SUMMIT 2020 (2020) 1–5.
[18] T. Jensen and M. Durham, Internet of things, Adv. Microelectron., 44(3) (2017) 4.
[19] H. Chen, 6G Wireless Communications : Security Technologies and Research Challenges, (2020) 592–595.
[20] M. H. Widianto, R. Aryanto, and C. Fadillah, Multi-antenna spectrum sensing using bootstrap on cognitive radio for the internet of things application, Int. J. Recent Technol. Eng., 8(3) (2019) 2620–2624.
[21] M. H. Widianto and R. Aryanto, Performance evaluation of an IoT device using a cognitive radio in GLRT approach, in Proceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020, (2020).
[22] A. Celik, A. Chaaban, B. Shihada, and M.-S. Alouini, Topology Optimization for 6G Networks: A Network Information-Theoretic Approach, no.(2019).
[23] W. Saad, M. Bennis, and M. Chen, A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems, IEEE Netw., 34(3) (2020) 134–142.
[24] E. Felemban, F. K. Shaikh, U. M. Qureshi, A. A. Sheikh, and S. Bin Qaisar, Underwater Sensor Network Applications: A Comprehensive Survey, Int. J. Distrib. Sens. Networks, 2015 (2015).
[25] M. Z. Chowdhury, M. Shahjalal, M. K. Hasan, and Y. M. Jang, The role of optical wireless communication technologies in 5G/6G and IoT solutions: Prospects, directions, and challenges, Appl. Sci., 9(20) (2019).
[26] M. I. Alhajri, N. T. Ali, and R. M. Shubair, Classification of Indoor Environments for IoT Applications: A Machine Learning Approach, IEEE Antennas Wirel. Propag. Lett., 17(12) (2018) 2164–2168.
[27] B. E. J. Black, Holographic Beam Forming and MIMO, Commware, Pivotal, no. March 2019, 1–7, (2016).
[28] L. Zhang, Y. C. Liang, and D. Niyato, 6G Visions: Mobile ultrabroadband, super internet-of-things, and artificial intelligence, China Commun., 16(8) (2019) 1–14.
[29] D. Van Den Berg et al., Challenges in haptic communications over the tactile internet, IEEE Access, 5c (2017) 23502–23518.
[30] J. Wang, C. Jiang, H. Zhang, Y. Ren, K.-C. Chen, and L. Hanzo, Thirty Years of Machine Learning: The Road to Pareto-optimal Wireless Networks, IEEE Commun. Surv. Tutorials, 22(3) (2020) 1472–1514.
[31] J. Wu et al., Structural Uncertainty, 22(12) (2013) 4892–4904.
[32] A. Goian et al., Fast detection of coherent signals using preconditioned root-MUSIC based on Toeplitz matrix reconstruction, 2015 IEEE 11th Int. Conf. Wirel. Mob. Comput. Netw. Commun. WiMob 2015, 1(2015) 168–174.
[33] R. C. Qiu, Z. Hu, H. Li, and M. C. Wicks, Cognitive Radio Network as Sensors, Cogn. Radio Commun. Netw., (2012) 427–439.
[34] M. H. Widianto, Ranny, N. F. Thejowahyono, and S. B. Handoyo, Smart mirror technology on the internet of things to enhance interactive learning, Int. J. Emerg. Trends Eng. Res., 8(8) (2020) 4318–4324.
[35] Z. Kato, T. Kato, N. Kondo, and T. Orii, Interstitial deletion of the short arm of chromosome 10: Report of a case and review of the literature, Jpn. J. Hum. Genet., 41(3)(1996) 333–338.
[36] L. Ducas, A. Durmus, T. Lepoint, and V. Lyubashevsky, Lattice signatures and bimodal Gaussians, Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8042 LNCS, no. PART 1(2013) 40–56.
[37] L. De Feo, D. Jao, and J. Plût, Towards quantum-resistant cryptosystems from supersingular elliptic curve isogenies, J. Math. Cryptol., 8(3) (2014) 209–247.
[38] D. Rajan and M. Visser, Quantum Blockchain Using Entanglement in Time, Quantum Reports, 1(1) (2019) 3–11.
[39] D. M. Greenberger, M. A. Horne, and A. Zeilinger, Going Beyond Bell ’ S Theorem, (1989) 69–72.
[40] Y. Hou, Research and Implementation of Hybrid Clustering Algorithm in Big Data Processing, 161(2018) Tlicsc, 336–343.
[41] M. H. Widianto, J. M. Kerta, D. R. Hermanus, and Y. Dani, Performance analysis spectrum sensing using eigenvalue-momentratio for the internet of things devices, 2019 Int. Conf. Inf. Commun. Technol. ICOIACT 2019, (1) (2019) 916–919.