Interoperability Issues and Challenges in 6G Networks

Authors

  • Shubhangi Kharche Department of Electronics and Telecommunication, SIES Graduate School of Technology, Nerul, Navi Mumbai, Maharashtra https://orcid.org/0000-0002-0909-7617
  • Prajakta Dere Department of Electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, Maharashtra https://orcid.org/0000-0001-7925-4529

DOI:

https://doi.org/10.13052/jmm1550-4646.1856

Keywords:

Interoperability, 6G, Internet of Thinking (IoTk), heterogeneous, Wearable Internet of Things (WIoT)

Abstract

Interoperability allows seamless data exchange among the heterogeneous networks and is a crucial problem for the growth of forthcoming 6G networks. The research has focussed on the interoperability issues in the Internet of Things (IoT) related to cross-domain and cross-platform applications. However, the future 6G communication networks are not limited to interoperating with IoT. The 6G networks must interoperate with the Wearable IoT (WIoT), brain abstracted Internet of Thinking (IoTk), Internet of Everything, and other space and undersea networks. The network softwarization, slicing, and intelligentization techniques are envisioned to support seamless data exchange between 6G and other heterogeneous networks. However, to successfully achieve the goal of global 360∘∘ connectivity in 3D space, interoperability issues with heterogeneous services, applications, protocols, networks, etc., must be solved. The integration and interoperability of 6G networks with all aforementioned heterogeneous networks are inevitable to realize the goals of 3D communication successfully. The paper proposes a taxonomy to provide deep insights into interoperability issues, challenges, and possible solutions for 6G interoperability with WIoT, IoTk, IoE, and other networks. Though the techniques mentioned above in 6G networks will allow interoperable solutions, the integration and interoperability issues persist due to heterogeneities in high-frequency bands, base stations, technologies, device identities, protocols, and interfaces. The paper summarizes significant challenges regarding interoperability issues in various areas related to 6G and highlights the broad scope to further research.

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Author Biographies

Shubhangi Kharche, Department of Electronics and Telecommunication, SIES Graduate School of Technology, Nerul, Navi Mumbai, Maharashtra

Shubhangi Kharche pursued a Bachelor of Engineering in Electronics and Telecommunication Engineering from Government College of Engineering, Aurangabad, and a Master of Engineering in Electronics from Jawaharlal Nehru College of Engineering, Aurangabad, in 1999 and 2004 respectively from Dr. Babasaheb Ambedkar Marathwada University Aurangabad. In 2020, she pursued her Ph.D. from SNDT Women’s University, Mumbai. She has more than two decades of experience in academics and research. She has published more than 25 research papers in reputed conferences and Journals. She received the best paper award at IEEE ANTS Women in Engineering (WIE) conference, held at IISc Bangalore in 2016. She also received Women Researcher Award under International Scientist Awards on Engineering, Science, and Medicine at Coimbatore, India, in September 2021. Her research interest includes Computer Communication Networks, Mobile Cellular Networks, Wireless Sensor Networks, IPv6 Over Low Power Wireless Personal Area Networks, and Artificial Intelligence and Data analytics.

Prajakta Dere, Department of Electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, Maharashtra

Prajakta Dere pursued a Bachelor of Engineering from the University of Amravati, Amravati, in 1992 and a Master of Engineering from Shivaji University in 2006. She has pursued Ph.D. from Nagpur University in 2021 and currently working as Assistant Professor in Department of Electronics and Communication, Ramrao Adik Institute of Technology, Navi Mumbai since 2007. Her main research work focuses on Image processing and Network-on-chip. She has 16 years of teaching experience and five years of research and development experience in the industry.

References

Li, S., Da Xu, L. and Zhao, S., 2018. 5G Internet of Things: A survey. Journal of Industrial Information Integration, 10, pp. 1–9.

Lazaridis, P.I., Swaminathan, J.N. and Mohan, S., 2021. 5G System Design Solutions for Wireless Personal Applications. Wireless Personal Communications, 120(3), pp. 1923–1928.

Dahat, P.A. and Das, S.S., 2020. Device-to-device communications under transceiver impairments in OFDMA cellular networks. Physical Communication, 40, p. 101058.

Dhar Dwivedi A, Singh R, Kaushik K, Rao Mukkamala R, Alnumay WS. Blockchain and artificial intelligence for 5G-enabled Internet of Things: Challenges, opportunities, and solutions. Trans Emerging Tel Tech. 2021; e4329. https://doi.org/10.1002/ett.4329

Ning, Huansheng, Feifei Shi, Shan Cui, and Mahmoud Daneshmand. ”From IoT to Future Cyber-Enabled Internet of X and Its Fundamental Issues.” IEEE Internet of Things Journal 8, no. 7 (2020): 6077–6088.

Khan, I.U., Qureshi, I.M., Aziz, M.A., Cheema, T.A. and Shah, S.B.H., 2020. Smart IoT control-based nature inspired energy efficient routing protocol for flying ad hoc network (FANET). IEEE Access, 8, pp. 56371–56378.

Kharche, S. and Pawar, S., 2016, November. Node level energy consumption analysis in 6LoWPAN network using real and emulated Zolertia Z1 motes. In 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 1–5). IEEE.

Kharche, S. and Pawar, S., 2020. Improving network lifetime and speed for 6LoWPAN networks using machine learning. International Journal of Intelligent Systems Technologies and Applications, 19(4), pp. 307–321.

Kharche, S. and Pawar, S., 2020. Optimizing network lifetime and QoS in 6LoWPANs using deep neural networks. Computers & Electrical Engineering, 87, p. 106775.

Bkheet, S.A. and Agbinya, J.I., 2021. A Review of Identity Methods of Internet of Things (IoT). Advances in Internet of Things, 11(4), pp. 153–174.

Cianca, E., Di Domenico, S., De Sanctis, M. and Rossi, T., 2019. EM-based drone-detection/identification for safety purposes.

Singh K., Kaushik K., Ahatsham, Shahare V. (2020) Role and Impact of Wearables in IoT Healthcare. In: Raju K., Govardhan A., Rani B., Sridevi R., Murty M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics. Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_67

Kaushik, K., Dahiya, S. and Sharma, R., 2021. Internet of Things Advancements in Healthcare. In Internet of Things (pp. 19–32). CRC Press.

Chen, S., Liang, Y.C., Sun, S., Kang, S., Cheng, W. and Peng, M., 2020. Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data rate, and movement speed. IEEE Wireless Communications, 27(2), pp. 218–228.

Zhou, Y., Liu, L., Wang, L., Hui, N., Cui, X., Wu, J., Peng, Y., Qi, Y. and Xing, C., 2020. Service-aware 6G: An intelligent and open network based on the convergence of communication, computing, and caching. Digital Communications and Networks, 6(3), pp. 253–260.

Chowdhury, M.Z., Shahjalal, M., Hasan, M. and Jang, Y.M., 2019. The role of optical wireless communication technologies in 5G/6G and IoT solutions: Prospects, directions, and challenges. Applied Sciences, 9(20), p. 4367.

Patel, Shyamal, Hyung Park, Paolo Bonato, Leighton Chan, and Mary Rodgers. ”A review of wearable sensors and systems with application in rehabilitation.” Journal of neuroengineering and rehabilitation 9, no. 1 (2012): 1–17.

Ometov, A., Shubina, V., Klus, L., Skibiñska, J., Saafi, S., Pascacio, P., Flueratoru, L., Gaibor, D.Q., Chukhno, N., Chukhno, O. and Ali, A., 2021. A survey on wearable technology: History, state-of-the-art, and current challenges. Computer Networks, 193, p. 108074.

https://support.apple.com/kb/SP808?locale=en_US accessed online on November 16, 2021

https://www.samsung.com/global/galaxy/galaxy-watch/specs/ accessed online on November 16, 2021

Noura, M., Atiquzzaman, M. and Gaedke, M., 2019. Interoperability in the internet of things: Taxonomies and open challenges. Mobile Networks and Applications, 24(3), pp. 796–809.

Ray, P.P., 2017. An introduction to dew computing: Definition, concept, and implications. IEEE Access, 6, pp. 723–737.

Shelby, Z. and Bormann, C., 2011, 6LoWPAN: The wireless embedded Internet, volume 43. John Wiley & Sons.

Lee, E., Seo, Y.D., Oh, S.R. and Kim, Y.G., 2021. A Survey on Standards for Interoperability and Security in the Internet of Things. IEEE Communications Surveys & Tutorials, 23(2), pp. 1020–1047.

Amanda D. P. Venceslau, Rossana M. C. Andrade, Vânia M. P. Vidal, Tales P. Nogueira and Valéria M. Pequeno “IoT Semantic Interoperability: A Systematic Mapping Study”

Bittner, Thomas & Donnelly, Maureen & Winter, Stephan. (2006). Ontology and Semantic Interoperability. 10.1201/9781420036282.pt3.

Adelantado, F., Vilajosana, X., Tuset-Peiro, P., Martinez, B., Melia-Segui, J. and Watteyne, T., 2017. Understanding the limits of LoRaWAN. IEEE Communications Magazine, 55(9), pp. 34–40.

Long, W., Chen, R., Moretti, M., Zhang, W., and Li, J., 2021. A Promising Technology for 6G Wireless Networks: Intelligent Reflecting Surface. Journal of Communications and Information Networks, 6(1), pp. 1–16.

K. Kaushik and S. Dahiya, “Security and Privacy in IoT based E-Business and Retail,” 2018 International Conference on System Modeling & Advancement in Research Trends (SMART), 2018, pp. 78–81, doi: 10.1109/SYSMART.2018.8746961.

Kaushik K., Singh K. (2020) Security and Trust in IoT Communications: Role and Impact. In: Choudhury S., Mishra R., Mishra R., Kumar A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore.

IEEE 802.15.thz WPAN Interest Group, http://www.ieee802.org/15/pub/IGthzOLD.html, IEEE (2016).

Chen, S., Liang, Y.C., Sun, S., Kang, S., Cheng, W. and Peng, M., 2020. Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data rate, and movement speed. IEEE Wireless Communications, 27(2), pp. 218–228.

Davoli, F., Kourogiorgas, C., Marchese, M., Panagopoulos, A. and Patrone, F., 2019. Small satellites and CubeSats: Survey of structures, architectures, and protocols. International Journal of Satellite Communications and Networking, 37(4), pp. 343–359.

Lima, F.H., Vieira, L.F., Vieira, M.A., Vieira, A.B. and Nacif, J.A.M., 2019. Water ping: ICMP for the internet of underwater things. Computer Networks, 152, pp. 54–63.

Schirripa Spagnolo, Giuseppe, Lorenzo Cozzella, and Fabio Leccese. “Underwater optical wireless communications: Overview.” Sensors 20, no. 8 (2020): 2261.

Aggarwal, S., Kumar, N. and Tanwar, S., 2020. Blockchain-Envisioned UAV Communication Using 6G Networks: Open Issues, Use Cases, and Future Directions. IEEE Internet of Things Journal, 8(7), pp. 5416–5441.

Shrestha, R., Bajracharya, R. and Kim, S., 2021. 6G Enabled Unmanned Aerial Vehicle Traffic Management: A Perspective. IEEE Access, 9, pp. 91119–91136.

Oubbati, O.S., Atiquzzaman, M., Ahanger, T.A. and Ibrahim, A., 2020. Softwarization of UAV networks: A survey of applications and future trends. IEEE Access, 8, pp. 98073–98125.

Evans, D., 2018. The Internet of Things, How the Next Evolution of the Internet is Changing Everything. Cisco Internet Business Solutions Group (IBSG), (2011).

Nayak, S. and Patgiri, R., 2020. 6G communications: A vision on the potential applications. arXiv preprint arXiv:2005.07531.

Long, Q., Chen, Y., Zhang, H., and Lei, X., 2019. Software-defined 5G and 6G networks: a survey. Mobile networks and applications, pp. 1–21.

Nawaz, S.J., Sharma, S.K., Wyne, S., Patwary, M.N. and Asaduzzaman, M., 2019. Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future. IEEE Access, 7, pp. 46317–46350.

Chen, S., Liang, Y.C., Sun, S., Kang, S., Cheng, W. and Peng, M., 2020. Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data rate, and movement speed. IEEE Wireless Communications, 27(2), pp. 218–228.

Syed, J.N., Sharma, S.K., Patwary, M.N., and Asaduzzaman, M., 2021. Enhanced URLLC-Enabled Edge Computing Framework for Device-Level Innovation in 6G.

Saad, W., Bennis, M. and Chen, M., 2019. A vision of 6G wireless systems: Applications, trends, technologies, and open research problems. IEEE Network, 34(3), pp. 134–142.

Letaief, K.B., Chen, W., Shi, Y., Zhang, J. and Zhang, Y.J.A., 2019. The roadmap to 6G: AI-empowered wireless networks. IEEE Communications Magazine, 57(8), pp. 84–90.

Hung, S.C., Hsu, H., Cheng, S.M., Cui, Q. and Chen, K.C., 2018. Delay guaranteed network association for mobile machines in heterogeneous cloud radio access networks. IEEE Transactions on Mobile Computing, 17(12), pp. 2744–2760.

Giordani, M., Polese, M., Mezzavilla, M., Rangan, S. and Zorzi, M., 2020. Toward 6G networks: Use cases and technologies. IEEE Communications Magazine, 58(3), pp. 55–61.

Mahmood, N.H., Alves, H., López, O.A., Shehab, M., Osorio, D.P.M. and Latva-Aho, M., 2020, March. Six key features of machine-type communication in 6G. In 2020 2nd 6G Wireless Summit (6G SUMMIT) (pp. 1–5). IEEE.

Dizdar, O., Mao, Y., Han, W. and Clerckx, B., 2020, July. Rate-splitting multiple access: A new frontier for the PHY layer of 6G. In 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) (pp. 1–7). IEEE.

Sekaran, R., Patan, R., Raveendran, A., Al-Turjman, F., Ramachandran, M. and Mostarda, L., 2020. Survival study on blockchain-based 6G-enabled mobile edge computation for IoT automation. IEEE Access, 8, pp. 143453–143463.

Hewa, T., Gür, G., Kalla, A., Ylianttila, M., Bracken, A. and Liyanage, M., 2020, March. The role of blockchain in 6G: Challenges, opportunities, and research directions. In 2020 2nd 6G Wireless Summit (6G SUMMIT) (pp. 1–5). IEEE.

Guo, F., Yu, F.R., Zhang, H., Li, X., Ji, H. and Leung, V.C., 2021. Enabling massive IoT toward 6G: A comprehensive survey. IEEE Internet of Things Journal.

Wilhelmi, F., Carrascosa, M., Cano, C., Jonsson, A., Ram, V. and Bellalta, B., 2021. Usage of network simulators in machine-learning-assisted 5g/6g networks. IEEE Wireless Communications, 28(1), pp. 160–166.

Xu, H., Klaine, P.V., Onireti, O., Cao, B., Imran, M., and Zhang, L., 2020. Blockchain-enabled resource management and sharing for 6G communications. Digital Communications and Networks, 6(3), pp. 261–269.

Leinonen, M.E., Jokinen, M., Tervo, N., Kursu, O. and Pärssinen, A., 2020. Radio Interoperability in 5G and 6G Multiradio Base Station. In 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) (pp. 1–5).

Published

2022-04-04

How to Cite

Kharche, S. ., & Dere, P. . (2022). Interoperability Issues and Challenges in 6G Networks. Journal of Mobile Multimedia, 18(05), 1445–1470. https://doi.org/10.13052/jmm1550-4646.1856

Issue

Section

5G and a Vision of 6G