A resources allocation scheme for joint optical wireless transport networks
Date
2023-08-03
Authors
Molefe, Mlungisi
Sibiya, Khulekani
Nleya, Bakhe
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
As the future of networking dives into a new era of connecting every single physical device into the internet termed Internet of Things (loT), this significantly means a rapid increase in the number of online connected devices, which leads to more bandwidth hungry and data consuming devices. The fifth generation (5G) of mobile communication has been deployed already in multiple countries, therefore researchers have migrated their focus to the sixth generation (6G) of mobile communication to cater for extensive coverage and massive number of loT devices. A promising architecture and technology to cope with massive number of online devices and extensive coverage is a joint optical wireless transport network which offers comparably ultra-high systems capacity and extremely low latency while maintaining an improved quality of service. Furthermore, an optical wireless transport network can accommodate high speed mobility for frequently moving end user devices which is essential for 6G. In this paper our focus is to explore and propose an ultimate optical wireless transport network architecture scheme that will cater for loT as well as networks beyond 5G. We thus propose an innovative Optical-Backhaul and Wireless Access (OBWA) network architecture as a favorable solution for future networks. We further present a joint channel and route allocation (JCRA) scheme for achieving optimal quality of experience. Performance evaluation of the proposed JCRA scheme for OBW A network architecture show a significant improvement in the network throughput as well as the network end-to-end delay despite varying load traffic or varying flow channels.
Description
Keywords
Resources allocation, Optical Wireless Transport Network (OWTN), Internet of Things (loT), Sixth Generation(6G)
Citation
Molefe, M., Sibiya, K. and Nleya, B. 2023. A resources allocation scheme for joint optical wireless transport networks. 2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). Presented at: 2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). doi:10.1109/icabcd59051.2023.10220537
DOI
10.1109/icabcd59051.2023.10220537