Abstract
Ultra-reliable and low-latency communications are essential for new services and applications in Industry 4.0. URLLC is also required to provide traffic density to meet the throughput demands of its clients across the coverage area via cell densification. However, cell densification implies that handover between serving stations will become more and more frequent. In this paper, we introduce the Make Before Degrade solution for zero mobility interruption with a single radio connection. Mobility management is based on contextual information that allows prudently to shift traffic flows before their propagation paths are compromised. The paper brings a proof-of-principle software-defined WiFi testbed able to meet 3GPP’s traffic density specifications in which contextual information is provided by computer vision. An Industry 4.0 use case based on cloud robotics demonstrates the practical applicability of our proposal.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ayyash, M., et al.: Coexistence of WiFi and LiFi toward 5G: concepts, opportunities, and challenges. IEEE Commun. Mag. 54, 64–71 (2016)
Sun, L., Hou, J., Shu, T.: Spatial and temporal contextual multi-armed bandit handovers in ultra-dense mmWave cellular networks. IEEE Trans. Mob. Comput. 20, 3423–3438 (2021)
Sand, S., Dammann, A., Mensing, C.: Applications. Positioning in Wireless Communications Systems (2013)
Lu, Y., et al.: Feasibility of location-aware handover for autonomous vehicles in industrial multi-radio environments. Sensors 20, 6290 (2020)
Ma, Y., Chen, X., Zhang, L.: Base station handover based on user trajectory prediction in 5G networks. In: 2021 IEEE International Conference on Parallel and Distributed Processing With Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing & Networking (2021)
Carmo, A., et al.: Programmable intelligent spaces for industry 4.0: indoor visual localization driving attocell networks. Trans. Emerg. Telecommun. Technol. 30, e3610 (2019)
Gotsis, A., Stefanatos, S., Alexiou, A.: UltraDense networks: the new wireless frontier for enabling 5G access. IEEE Veh. Technol. Mag. 11, 71–78 (2016)
Saponara, S., Giannetti, F., Neri, B., Anastasi, G.: Exploiting mm-wave communications to boost the performance of industrial wireless networks. IEEE Trans. Ind. Inform. 13, 1460–1470 (2017)
Martínez, V., et al.: Ultra reliable communication for robot mobility enabled by SDN splitting of WiFi functions. In: 2018 IEEE Symposium On Computers And Communications (2018)
Guimaraes, R., Martínez, V., Mello, R., Mafioletti, D., Martinello, M., Ribeiro, M. An SDN-NFV orchestration for reliable and low latency mobility in off-the-shelf WiFi. In: ICC 2020 - 2020 IEEE International Conference On Communications (2020)
3GPP TS 22.261: Service requirements for next-generation new services and markets (2018)
Acknowledgements
The authors acknowledge the funding received from the Brazilian agencies CNPq, FAPES (515/2021, 284/2021, and 026/2022), CAPES (Finance Code 001), and FAPESP (20/05182-3 and 18/23097-3).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Martínez, V.M.G. et al. (2023). Make Before Degrade: A Context-Aware Software-Defined WiFi Handover. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 654. Springer, Cham. https://doi.org/10.1007/978-3-031-28451-9_49
Download citation
DOI: https://doi.org/10.1007/978-3-031-28451-9_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-28450-2
Online ISBN: 978-3-031-28451-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)