Abstract
The virtualization of wireless networks enables new services to access network resources made available by the Network Operator (NO) through a Network Slicing market. The different service providers (SPs) have the opportunity to lease the network resources from the NO to constitute slices that address the demand of their specific network service. The goal of any SP is to maximize its service utility and minimize costs from leasing resources while facing uncertainties of the prices of the resources and the users' demand. In this paper, we propose a solution that allows the SP to decide its online reservation policy, which aims to maximize its service utility and minimize its cost of reservation simultaneously. We design the Optimistic Online Learning for Reservation (OOLR) solution, a decision algorithm built upon the Follow-the-Regularized Leader (FTRL), that incorporates key predictions to assist the decision-making process. Our solution achieves a O(√T) regret bound where T represents the horizon. We integrate a prediction model into the OOLR solution and we demonstrate through numerical results the efficacy of the combined models' solution against the FTRL baseline.
Original language | English |
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Title of host publication | Proceedings of the ICC 2023 - IEEE International Conference on Communications |
Publisher | IEEE |
Pages | 5147-5153 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-5386-7462-8 |
ISBN (Print) | 978-1-5386-7463-5 |
DOIs | |
Publication status | Published - 2023 |
Event | ICC 2023 - IEEE International Conference on Communications - Rome, Italy Duration: 28 May 2023 → 1 Jun 2023 |
Publication series
Name | IEEE International Conference on Communications |
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Publisher | IEEE |
ISSN (Electronic) | 1938-1883 |
Conference
Conference | ICC 2023 - IEEE International Conference on Communications |
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Country/Territory | Italy |
City | Rome |
Period | 28/05/23 → 1/06/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Online convex optimization
- network slicing markets
- virtualization
- resource reservation
- SP utility maximization
- FTRL algorithm