Dynamic LiFi attocellular networks slicing for 5G services
Alshaer, Hamada and Haas, Harald; (2022) Dynamic LiFi attocellular networks slicing for 5G services. In: ICC 2022 - IEEE International Conference on Communications. IEEE International Conference on Communications . IEEE, Piscataway, NJ, pp. 583-588. ISBN 9781538683477 (https://doi.org/10.1109/ICC45855.2022.9839152)
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Abstract
A multi-service light fidelity (LiFi) attocellular network should be resource engineered to efficiently support fifth generation (5G) services on customized network slices. Mobile virtual network operators (MVNOs) request network slices to offer customized services according to their service level agreement (SLA) constraints in terms of resource guarantees or data rate targets. However, there are two main challenges to meet these network resource and services slicing guarantees in a sliced LiFi attocellular network: i) conflicting services requirements and ii) dynamic resource quota allocation to slices. A multipolicy resource scheduler is developed to support dynamic LiFi network slicing based on network resource and service utility optimization. The scheduler runs on a utility-based heuristic scheduling algorithm, which can simultaneously support multiple MVNOs to offer delay and throughput sensitive services on different LiFi network slices. This enables MVNOs to deploy their network slice quota customization policies that support different traffic profiles and specific-slice service management policies. The obtained results demonstrate that the weights of utility functions can be adjusted automatically according to the LiFi AP channel conditions and the SLA constraints of MVNOs.
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Item type: Book Section ID code: 82088 Dates: DateEvent11 August 2022Published19 January 2022AcceptedNotes: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 26 Aug 2022 15:34 Last modified: 11 Nov 2024 15:30 URI: https://strathprints.strath.ac.uk/id/eprint/82088