6G Intelligent Healthcare Framework: A Review on Role of Technologies, Challenges and Future Directions
DOI:
https://doi.org/10.13052/jmm1550-4646.1931Keywords:
6G, communication technologies, challenge, healthcare, conceptual frameworkAbstract
The Healthcare industry is experiencing a sea change due to the availability of disruptive communication technologies. Augmented reality, virtual reality, haptics, robotic assistance, and the ubiquitous, highly reliable low latency communication based on intelligence; support remote surgery in real-time. The sixth-generation (6G) mobile communication supporting disruptive technologies and intelligence; will realize remote healthcare for people of all ages in three-dimensional (3D) space. The discussion on the application of disruptive technologies in 6G intelligent healthcare is found insufficient in the literature. The objective of the paper is to propose a conceptual framework for 6G intelligent healthcare and elaborate on applications of the various disruptive technologies with their associated challenges. The state-of-the-art technologies viz; digital twin, blockchain, optical wireless communication, wireless energy transfer, tactile Internet, holographic communication, quantum communication, artificial intelligence, etc., are elaborated for their applications and challenges in healthcare. The fifth-generation (5G) lacks supporting disruptive technologies, intelligence, and ultra-low latency requirements of remote healthcare. 6G will support highly reliable (99.9999%), secure, ultra-low latency (<0.1 microseconds), and ultra-high-speed communication (>1 Tbps) required for remote and ubiquitous healthcare. Moreover, 6G supports the Internet of Everything, Internet of skills, and Internet of thinking to realize and optimize healthcare globally.
Downloads
References
Evans, D., 2018. The Internet of Things, How the Next Evolution of the Internet is Changing Everything. Cisco Internet Business Solutions Group (IBSG), (2011).
Katz, M., Matinmikko-Blue, M., and Latva-Aho, M. (2018, November). 6Genesis flagship program: Building the bridges towards 6G-enabled wireless smart society and ecosystem. In 2018 IEEE 10th Latin-American Conference on Communications (LATINCOM) (pp. 1–9). IEEE.
Mukherjee, Mithun, Mian Guo, Jaime Lloret, and Qi Zhang. “Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations.” IEEE Network 34, no. 5 (2020): 322–329.
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.
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.
Skala, K., Davidovic, D., Afgan, E., Sovic, I. and Sojat, Z., 2015. Scalable distributed computing hierarchy: Cloud, fog and dew computing. Open Journal of Cloud Computing (OJCC), 2(1), pp. 16–24.
Li, T., Sahu, A.K., Talwalkar, A. and Smith, V., 2020. Federated learning: Challenges, methods, and future directions. IEEE Signal Processing Magazine, 37(3), pp. 50–60.
Shi, W., Cao, J., Zhang, Q., Li, Y. and Xu, L., 2016. Edge computing: Vision and challenges. IEEE internet of things journal, 3(5), pp. 637–646.
Bonomi, F., Milito, R., Zhu, J. and Addepalli, S., 2012, August. Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing (pp. 13–16).
Jadeja, Y. and Modi, K., 2012, March. Cloud computing-concepts, architecture and challenges. In 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET) (pp. 877–880). IEEE.
Corradini, F., De Angelis, F., Ippoliti, F. and Marcantoni, F., 2015. A Survey of Trust Management Models for Cloud Computing. In CLOSER (pp. 155–162).
Sharma, D.K., Chakravarthi, D.S., Shaikh, A.A., Ahmed, A.A.A., Jaiswal, S. and Naved, M., 2021. The aspect of vast data management problem in healthcare sector and implementation of cloud computing technique. Materials Today: Proceedings.
Moore, H., Allen, R. What Can Mathematics Do for Drug Development?. Bull Math Biol 81, 3421–3424 (2019). https://doi.org/10.1007/s11538-019-00632-x AI
Owen Thorpe, Martin Cuesta, Ciaran Fitzgerald, Owen Feely, William P Tormey, Mark Sherlock, David J Williams, Chris J Thompson, Aoife Garrahy, Active management of hyponatraemia and mortality in older hospitalised patients compared with younger patients: results of a prospective cohort study, Age and Ageing, Volume 50, Issue 4, July 2021, Pages 1144–1150, https://doi.org/10.1093/ageing/afaa248
Tormey, W.P., 2020. Hyponatraemia, harm reduction and the O’Hara report from Northern Ireland. Irish Journal of Medical Science (1971–), 189(1), pp. 1–2.
Mintz, Y. and Brodie, R., 2019. Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), pp. 73–81.
Porambage, P., Gür, G., Osorio, D.P.M., Liyanage, M. and Ylianttila, M., 2021. 6G security challenges and potential solutions. In Proc. IEEE Joint Eur. Conf. Netw. Commun.(EuCNC) 6G Summit (pp. 1–6).
Rahman, A.B.M., Li, T. and Wang, Y., 2020. Recent advances in indoor localization via visible lights: A survey. Sensors, 20(5), p. 1382.
Chi, N., Jia, J., Hu, F., Zhao, Y. and Zou, P., 2020. Challenges and prospects of machine learning in visible light communication. Journal of Communications and Information Networks, 5(3), pp. 302–309.
Muhammad, S., Qasid, S.H.A., Rehman, S. and Rai, A.B.S., 2016. Visible light communication applications in healthcare. Technology and Health Care, 24(1), pp. 135–138.
Gokhale, V., Kroep, K., Rao, V.S., Verburg, J. and Yechangunja, R., 2020. TIXT: An Extensible Testbed for Tactile Internet Communication. IEEE Internet of Things Magazine, 3(1), pp. 32–37.
Saha, S., Mamun, K.A., Ahmed, K.I.U., Mostafa, R., Naik, G.R., Darvishi, S., Khandoker, A.H. and Baumert, M., 2021. Progress in Brain Computer Interface: Challenges and Potentials. Frontiers in Systems Neuroscience, 15, p. 4.
Mirza, J., Imtiaz, W. and Ghafoor, S.A., 2021. Integrating Ultra-Wideband and Free Space Optical Communication for Realizing a Secure and High Throughput Body Area Network Architecture Based on Optical Code Division Multiple Access.
Trichili, A., Ragheb, A., Briantcev, D., Esmail, M.A., Altamimi, M., Ashry, I., Ooi, B.S., Alshebeili, S. and Alouini, M.S., 2021. Retrofitting FSO Systems in Existing RF Infrastructure: A Non-Zero Sum Game Technology. arXiv preprint arXiv:2105.07543.
Lema, G.G., 2020. Free space optics communication system design using iterative optimization. Journal of Optical Communications.
Siraj, M., Shoaib, M. and Memon, I., 2017. Performance Enhancement of Telemedicine Network by Free Space Optics Links Provisioning. networks, 11, p. 14.
Liang, P., Zhang, C., Nebhen, J., Chaudhary, S. and Tang, X., 2021. Cost-Efficient Hybrid WDM-MDM-Ro-FSO System for Broadband Services in Hospitals. Frontiers in Physics, p. 410.
Ahmed, M.F., Ali, M.O., Rahman, M.H. and Jang, Y.M., 2021, January. Real-time health monitoring system design based on optical camera communication. In 2021 International Conference on Information Networking (ICOIN) (pp. 870–873). IEEE.
Chowdhury, M.Z., Hossan, M.T., Shahjalal, M., Hasan, M.K. and Jang, Y.M., 2020. A new 5g ehealth architecture based on optical camera communication: An overview, prospects, and applications. IEEE Consumer Electronics Magazine, 9(6), pp. 23–33.
Jurado-Verdu, C., Guerra, V., Matus, V., Rabadan, J. and Perez-Jimenez, R., 2021. Convolutional autoencoder for exposure effects equalization and noise mitigation in optical camera communication. Optics Express, 29(15), pp. 22973–22991.
Leba, M., Riurean, S. and Lonica, A., 2017, June. LiFi—The path to a new way of communication. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1–6). IEEE.
Alfattani, S., 2021. Review of LiFi technology and its future applications. Journal of Optical Communications, 42(1), pp. 121–132.
Yazdani, A., Novin, R.S., Merryweather, A. and Hermans, T., 2021, August. Is The Leader Robot an Adequate Sensor for Posture Estimation and Ergonomic Assessment of A Human Teleoperator?. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1946–1952). IEEE.
Zheltova, E.P. and Kuznetsov, K.A., Tactile Internet Applications for distance learning foreign languages: Pros and Cons. BECTHNK, p. 361.
Gupta, R., Reebadiya, D. and Tanwar, S., 2021. 6G-enabled Edge Intelligence for Ultra-Reliable Low Latency Applications: Vision and Mission. Computer Standards & Interfaces, 77, p. 103521.
Strinati, E.C., Barbarossa, S., Gonzalez-Jimenez, J.L., Ktenas, D., Cassiau, N., Maret, L. and Dehos, C., 2019. 6G: The next frontier: From holographic messaging to artificial intelligence using subterahertz and visible light communication. IEEE Vehicular Technology Magazine, 14(3), pp. 42–50.
Shahraki, A., Abbasi, M., Piran, M., Chen, M. and Cui, S., 2021. A comprehensive survey on 6g networks: Applications, core services, enabling technologies, and future challenges. arXiv preprint arXiv:2101.12475.
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.
Li, Y. and Kesavadas, T., 2021. SSVEP-based Brain-computer Interface for Part-picking Robotic Co-worker. Journal of Computing and Information Science in Engineering, 22(2), p. 021001.
Olszewska, J.I., 2021, May. Human Computer Interaction Feedback Based-On Data Visualization Using MVAR and NN. In 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) (pp. 67–72). IEEE.
Jafri, R.A., Shahid, N., Shamim, M.F., Alam, M.A., Munir, M.W. and Haque, M.U., 2018. Wireless Electroencephalography Based Blood Pressure Monitoring. International Journal of Engineering & Technology, 7(4.38), pp. 904–907.
Kang, J., Choi, J. and Choi, W., 2021. Multi-user Energy Beamforming for Different Energy Requests. IEEE Wireless Communications Letters.
Jaffry, S., 2021. Intelligent Reflecting Surface Aided Wireless Energy Transfer and Mobile Edge Computing for Public Transport Vehicles. arXiv preprint arXiv:2102.08672.
Clerckx, B., Huang, K., Varshney, L.R., Ulukus, S. and Alouini, M.S., 2021. Wireless power transfer for future networks: Signal processing, machine learning, computing, and sensing. arXiv preprint arXiv:2101.04810.
López, O.L., Kumar, D., Souza, R.D., Popovski, P., Tölli, A. and Latva-aho, M., 2021. Cell-Free Massive MIMO with Radio Stripes for Indoor Wireless Energy Transfer. arXiv preprint arXiv:2106.12188.
Zhu, Y., Tian, X., Chi, K., Wen, C. and Zhu, Y.H., 2019, December. Real-Time Power Control of Wireless Chargers in Battery-Free Body Area Networks. In 2019 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE.
Dananjayan, S. and Raj, G.M., 2021. 5G in healthcare: how fast will be the transformation?. Irish Journal of Medical Science (1971–), 190(2), pp. 497–501.
Lányi, C.S., 2006. Virtual reality in healthcare. In Intelligent paradigms for assistive and preventive healthcare (pp. 87–116). Springer, Berlin, Heidelberg.
Hu, M., Luo, X., Chen, J., Lee, Y.C., Zhou, Y. and Wu, D., 2021. Virtual reality: A survey of enabling technologies and its applications in IoT. Journal of Network and Computer Applications, p. 102970.
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.
Al-Ansi, A., Al-Ansi, A.M., Muthanna, A., Elgendy, I.A. and Koucheryavy, A., 2021. Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers. Future Internet, 13(5), p. 118.
AlMazeedi, S.M., AlHasan, A.J.M.S., AlSherif, O.M., Hachach-Haram, N., Al-Youha, S.A. and Al-Sabah, S.K., 2020. Employing augmented reality telesurgery for COVID-19 positive surgical patients. Journal of British Surgery, 107(10), pp. e386–e387.
Vidal-Balea, A., Blanco-Novoa, Ó., Fraga-Lamas, P. and Fernández-Caramés, T.M., 2021. Developing the Next Generation of Augmented Reality Games for Pediatric Healthcare: An Open-Source Collaborative Framework Based on ARCore for Implementing Teaching, Training and Monitoring Applications. Sensors, 21(5), p. 1865.
Nayak, S. and Patgiri, R., 2021. 6G communication technology: A vision on intelligent healthcare. In Health Informatics: A Computational Perspective in Healthcare (pp. 1–18). Springer, Singapore.
Kelly, Á.M., 2018. Exercise-induced modulation of neuroinflammation in models of Alzheimer’s disease. Brain Plasticity, 4(1), pp. 81–94.
Devenney, K.E., Guinan, E.M., Kelly, Á.M., Mota, B.C., Walsh, C., Rikkert, M.O., Schneider, S. and Lawlor, B., 2019. Acute high-intensity aerobic exercise affects brain-derived neurotrophic factor in mild cognitive impairment: a randomised controlled study. BMJ open sport & exercise medicine, 5(1), p. e000499.
Jones, J.F., McCaul, C., Gorman, L., Campbell, T. and Pickering, M., 2020. 3D Printing in Anatomy. In Teaching Anatomy (pp. 349–357). Springer, Cham.
Zhang, J., Li, L., Lin, G., Fang, D., Tai, Y. and Huang, J., 2020. Cyber Resilience in Healthcare Digital Twin on Lung Cancer. IEEE Access, 8, pp. 201900–201913.
Yaqoob, I., Salah, K., Uddin, M., Jayaraman, R., Omar, M. and Imran, M., 2020. Blockchain for digital twins: Recent advances and future research challenges. IEEE Network, 34(5), pp. 290–298.
Viswanathan, H. and Mogensen, P.E., 2020. Communications in the 6G era. IEEE Access, 8, pp. 57063–57074.
Rasheed, A., San, O. and Kvamsdal, T., 2019. Digital twin: Values, challenges and enablers. arXiv preprint arXiv:1910.01719.
Barbiero, P., Torné, R.V. and Lió, P., 2021. Graph Representation Forecasting of Patient’s Medical Conditions: Toward a Digital Twin. Frontiers in genetics, 12.
El Saddik, A., 2018. Digital twins: The convergence of multimedia technologies. IEEE multimedia, 25(2), pp. 87–92.
Elayan, H., Aloqaily, M. and Guizani, M., 2021. Digital Twin for Intelligent Context-Aware IoT Healthcare Systems. IEEE Internet of Things Journal.
Barricelli, B.R., Casiraghi, E., Gliozzo, J., Petrini, A. and Valtolina, S., 2020. Human digital twin for fitness management. Ieee Access, 8, pp. 26637–26664.
Barricelli, B.R., Casiraghi, E. and Fogli, D., 2019. A survey on digital twin: definitions, characteristics, applications, and design implications. IEEE access, 7, pp. 167653–167671.
Liu, Y., Zhang, L., Yang, Y., Zhou, L., Ren, L., Wang, F., Liu, R., Pang, Z. and Deen, M.J., 2019. A novel cloud-based framework for the elderly healthcare services using digital twin. IEEE Access, 7, pp. 49088–49101.
Prabadevi, B., Deepa, N., Pham, Q.V., Nguyen, D.C., Reddy, T., Pathirana, P.N. and Dobre, O., 2021. Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions. IEEE Internet of Things Magazine.
Vora, J., Nayyar, A., Tanwar, S., Tyagi, S., Kumar, N., Obaidat, M.S. and Rodrigues, J.J., 2018, December. BHEEM: A blockchain-based framework for securing electronic health records. In 2018 IEEE Globecom Workshops (GC Wkshps) (pp. 1–6). IEEE.
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.
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.
Tariq, F., Khandaker, M.R., Wong, K.K., Imran, M.A., Bennis, M. and Debbah, M., 2020. A speculative study on 6G. IEEE Wireless Communications, 27(4), pp. 118–125.
Gupta, R., Kumari, A. and Tanwar, S., 2021. Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications. Transactions on Emerging Telecommunications Technologies, 32(1), p. e4176.
Seliverstov, P., Bakaeva, S., Tsurtsumiia, D. and Shapovalov, V., Telemedicine as An Essential Part of The Modern Healthcare Development.
Prasad, P., Montagna, C., Mesias, J.D.A., Oktay, M. and Sparano, J.A., 2020. Abstract B091: Molecular alterations in black and Hispanic women with early breast cancer.
Ashai, N., Prasad, P. and Rajdev, L., 2019. Multimodality management of localized biliary cancer. Current treatment options in oncology, 20(7), pp. 1–15.
Pradhan, B., Bhattacharyya, S. and Pal, K., 2021. IoT-Based Applications in Healthcare Devices. Journal of Healthcare Engineering, 2021.
Suryaatmadja, S. and Maulani, N., 2020. Contributions of space technology to global health in the context of covid-19. Jurnal Administrasi Kesehatan Indonesia, 8, pp. 60–73.
Anema, A., Preston, N.D., Platz, M. and Unnithan, C., 2020. Shaping the future of global health: A review of canadian space technology applications in healthcare. Space Capacity Building in the XXI Century, 22, p. 193.
Chen, X., Wen, M., Chae, C.B., Yang, L.L., Ji, F. and Igorevich, K.K., 2021. Resource Allocation for Multi-User Molecular Communication Systems Oriented to The Internet of Medical Things. IEEE Internet of Things Journal.
Khaloopour, L., Mirmohseni, M. and Nasiri-Kenari, M., 2021. Theoretical Concept Study of Cooperative Abnormality Detection and Localization in Fluidic-Medium Molecular Communication. IEEE Sensors Journal.
Borges, L.F., Barros, M.T. and Nogueira, M., 2021. Toward Reliable Intra-Body Molecular Communication: An Error Control Perspective. IEEE Communications Magazine, 59(5), pp. 114–120.
Mahmoud, H.H.H., Amer, A.A. and Ismail, T., 2021. 6G: A comprehensive survey on technologies, applications, challenges, and research problems. Transactions on Emerging Telecommunications Technologies, 32(4), p. e4233.
Braun, N., 2021. A Survey on Quantum Communication Networks. Communication Systems XIV, p. 65.
Kharche, S. and Dere, P., 2022. Interoperability Issues and Challenges in 6G Networks. Journal of Mobile Multimedia, 18(5), pp. 1445–1470.