Abstract
In future smart cities (SCs) highly developed and smart wireless communication access infrastructures will be needed for the connection of a huge number of different types of objects, sensors and user terminals. Such access networks must have the necessary autonomic and intelligent mechanisms to respond to the needs of an increasing variety of users (human and non-human), to cope with the high user density in SCs, their mobility, new and increasing service requirements, traffic dynamics, SC complex wireless channel conditions, etc. The wireless AN of a future SC must be a type of network which is able to offer revolutionary services, capabilities, and facilities that are hard to be provided via the heterogeneous network (HetNet) infrastructures that are implemented today. This paper introduces the concept of the unified wireless access (UWA) for SCs and considers some of the challenges related to its functional requirements and design. The structure of a sample UWA network illustrating the functional relations between its components is given. It is envisaged that such UWA architecture will perform and could be considered from the aspect of a large scale complex and intelligent cyber physical system (CPS) with control feedbacks and different types of users introducing stochasticity in the loop of the system. For the goal of analyzing the performance and functional relationships between the elements of such UWA a general modeling approach is introduced taking into consideration some of the basic approaches applied for CPS analysis.
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References
Kyoseva, T., Poulkov, V., Mihaylov, M., & Mihovska, A. (2014). Disruptive innovations as a driving force for the change of wireless telecommunication infrastructures. Wireless Personal Communications, 78(3), 1683–1697. https://doi.org/10.1007/s11277-014-1902-0.
Asenov, O., & Poulkov, V. (2013). Multimedia and network quality of service. In L. P. Ligthart & R. Prasad (Eds.), Communications, navigation, sensing and services (pp. 115–139). Aalborg: River Publishers.
Asenov, O., Poulkov, V., Mihovska, A., & Prasad, R. (2015). An Approach to Resource Management in Future Internet. In R. Prasad (Ed.), Resource management in future internet (pp. 185–209). Aalborg: River Publishers.
Giust, F., et al. (2015). Distributed mobility management for future 5G networks: Overview and analysis of existing approaches. IEEE Communications Magazine, 53(1), 142–149.
Cimmino, A., et al. (2014). The role of small cell technology in future smart city applications. Transactions on Emerging Telecommunications Technologies, 25(1), 11–20.
Han, T., et al. (2015). Interference minimization in 5G heterogeneous networks. Mobile Networks and Applications, 20(6), 756–762.
Han, T., et al. (2017). 5G converged cell-less communications in smart cities. IEEE Communications Magazine, 55(3), 44–50.
Wang, Xiaofei, Li, Xiuhua, & Leung, Victor C. M. (2015). Artificial intelligence-based techniques for emerging heterogeneous network: State of the arts, opportunities, and challenges. IEEE Access, 3, 1379–1391.
Semov, P., Al-Shatri, H., Tonchev, K., Poulkov, V., & Klein, A. (2017). Implementation of machine learning for autonomic capabilities in self-organizing heterogeneous networks. Wireless Personal Communications, 92(1), 149–168. https://doi.org/10.1007/s11277-016-3843-2.
Peng, M., Liang, D., Wei, Y., Li, J., & Chen, H.-H. (2013). Self-configuration and self-optimization in LTE-advanced heterogeneous networks. IEEE Communications Magazine, 51(5), 36–45.
Asenov, O., & Poulkov, V. (2014). Towards a unified virtual mobile wireless architecture. Journal of Communication, Navigation, Sensing and Services (CONASENSE), 1(1), 93–104.
Poulkov, V. (2016). Beyond the next generation access. In R. Prasad & S. Dixit (Eds.), Wireless world in 2050 and beyond: A window into the future! (pp. 17–39). Basel: Springer. ISBN 978-3-319-42140-7.
Weldon, M. (2016). The future X network: A bell labs perspective. Boca Raton: Taylor & Francis Group. ISBN 978-1-4987-5927-4.
Prasad, R. (2012). Future networks and technologies supporting innovative communications. In IEEE international conference on network infrastructure and digital content (IC-NIDC), Sept 21–23 (pp. 4–6). https://doi.org/10.1109/icnidc.2012.6418846.
Gill, H. (2008). A continuing vision: Cyber-physical systems. In Annual Carnegie Mellon conference on the electricity industry future energy systems: Efficiency, security, control, March 10–11.
He, J. F. (2010). Cyber-physical systems. Communication China Computer Federation, 6(1), 25–29.
Engell, S. (2014). Cyber-physical systems of systems—Definition and core research and innovation areas. Working Paper of the Support Action CPSoS. http://www.cpsos.eu/wp-content/uploads/2015/07/CPSoS-Scope-paper-vOct-26-2014.pdf. Accessed 31 Jan 2018.
Liu, Y., Peng, Y., Wang, B., Yao, S., & Liu, Z. (2017). Review on cyber-physical systems. IEEE/CAA Journal of Automatica Sinica, 4(1), 27–40.
Feng, S., Quivira, F., & Schirner, G. (2016). Framework for rapid development of embedded human-in-the-loop cyber-physical systems. In IEEE international conference on bioinformatics and bioengineering (BIBE), Oct 31–Nov 2 (pp. 208–215). https://doi.org/10.1109/bibe.2016.24.
Romero, D., Bernus, P., Noran, O., Stahre, J., & Fast-Berglund, Å. (2016). The operator 4.0: Human cyber-physical systems and adaptive automation towards human-automation symbiosis work systems. In International conference advances in production management systems (APMS), Sept 3–7 (pp. 677–686).
Manolova, A., Poulkov, V., & Tonchev, K. (2017). Challenges in the design of smart vehicular cyber physical systems with human in the loop. In L. P. Ligthart & R. Prasad (Eds.), Breakthroughs in smart city implementation (pp. 165–186). Aalborg: River Publishers.
Vogel-Heuser, B., & Hess, D. (2016). Guest editorial industry 4.0—Prerequisites and visions. IEEE Transactions on Automation Science and Engineering, 13, 411.
Böhmann, T., Leimeister, J. M., & Möslein, K. (2014). Service systems engineering: A field for future information systems research. Business & Information Systems Engineering, 6(3), 73–79.
Matzner, M., & Scholta, H. (2014). Process mining approaches to detect organizational properties in cyber-physical systems. In European conference on information systems (ECIS), Tel Aviv, Israel.
Soeldner, C., Roth, A., Danzinger, F., & Moeslein, K. (2013). Towards open innovation in embedded systems. In Americas conference on information systems (AMCIS), Chicago, USA.
Zdravković, M., Noran, O., & Trajanović, M. (2014). Towards sensing information systems. In International conference on information systems development (ISD), Varazdin, Croatia.
Mikusz, M. (2014). Towards an understanding of cyber-physical systems as industrial software-product-service systems. Procedia CIRP, 16, 385–389.
Heppelmann, J. E., & Porter, M. E. (2014). How SMART, CONNECTED PRODUCTS ARE TRANSFORMING COMPETITION. Harvard Business Review, 92, 64–86.
Acatech. (2011). Cyber-physical systems: Innovationsmotor für Mobilität, Gesundheit, Energie und Produktion. Heidelberg: Springer.
Herterich, M. M., Uebernickel, F., & Brenner, W. (2015). The impact of cyber physical systems on industrial services in manufacturing. Procedia CIRP, 30, 323–328.
Brettel, M., Friedrichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. Periodical, 8(1), 37–44.
Kolberg, D., & Zühlke, D. (2015). Lean Automation enabled by Industry 4.0 Technologies. IFAC-PapersOnLine, 48(3), 1870–1875.
Cao, G., Duan, Y., & Li, G. (2015). Linking business analytics to decision making effectiveness: A path model analysis. IEEE Transactions on Engineering Management, 62(3), 384–395.
Geissbauer, R., Schrauf, S., Koch, V., & Kuge, S. (2014). Industry 4.0—Opportunities and challenges of the industrial internet. https://www.pwc.nl/en/assets/documents/pwc-industrie-4-0.pdf. Accessed 31 Jan 2018.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.
Alpaydin, E. (2014). Introduction to machine learning. Cambridge: MIT Press.
Iliev, I., Bonev, B., Angelov, K., Petkov, P., & Poulkov, V. (2016). Interference identification based on long term spectrum monitoring and cluster analysis. In IEEE international conference “BlackSeaCom”, Varna, Bulgaria, June 6–9 (pp. 1–6).
Ni, F., Zang, Y., & Feng, Z. (2015). A study on cellular wireless traffic modeling and prediction using Elman Neural Networks. In International conference on computer science and network technology (ICCSNT), December 19–20 (pp. 490–494).
Khan, F. H., Ali, M. E., & Dev, H. (2015). A hierarchical approach for identifying user activity patterns from mobile phone call detail records. In International conference on networking systems and security (NSysS), January 5–7 (pp. 1–6).
Hehenberger, P., Vogel-Heuser, B., et al. (2016). Design, modelling, simulation and integration of cyber physical systems: Methods and applications. Computers in Industry, 82, 273–289.
Lee, E. A. (2015). The past, present and future of cyber-physical systems: A focus on models. Sensors, 15(3), 4837–4869. https://doi.org/10.3390/s150304837.
Sharma, A. B., et al. (2014). Modeling and analytics for cyber-physical systems in the age of big data. ACM SIGMETRICS Performance Evaluation Review, 41(4), 74–77.
Koleva, P., Poulkov, V., & Asenov, O. (2014). Resource management based on dynamic users association for future heterogeneous telecommunication access infrastructures. Wireless Personal Communications, 78(3), 1595–1611. https://doi.org/10.1007/s11277-014-1911-z.
Acknowledgements
This work was supported in part by the contract DN 07/22 15.12.2016 of the Bulgarian Research Fund.
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Poulkov, V. The Wireless Access for Future Smart Cities as a Large Scale Complex Cyber Physical System. Wireless Pers Commun 118, 1971–1985 (2021). https://doi.org/10.1007/s11277-019-06343-9
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DOI: https://doi.org/10.1007/s11277-019-06343-9