A Prediction-based Online Cost Optimization Algorithm for 5G Vertical

Tiwari, Jyoti and Kumar, Shashwat and Franklin, Antony (2021) A Prediction-based Online Cost Optimization Algorithm for 5G Vertical. In: 15th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2021, 13-16 December 2021, Hyderabad.

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End-to-end network slicing in 5G enables new business models and use cases across all industry verticals. Network slicing is an efficient solution that fulfills the diverse business requirements, characterized by a Service Level Agreement (SLA). 5G service providers offer the network slices through various plans differing in leasing period, allocated resources, and price. With uncertain future demand, it is challenging for businesses to select a cost-effective plan that supports the traffic. In this work, we propose a prediction-based online algorithm that minimizes the cost through plan selection for different applications in industry verticals. First, the future traffic demand is predicted using the Recurrent Neural Network (RNN)-based Long Short-Term Memory (LSTM) model, which continuously learns and adapts to the dynamic requirements with higher prediction accuracy. The traffic prediction model estimates the future demand, and the proposed algorithm leverages it for plan selection. The problem is formulated as an Integer Linear Program (ILP), which provides an offline optimal solution of the problem. Results from extensive simulations, with real-world datasets, illustrate that the proposed algorithm reduces the best worst-case expected Competitive Ratio (CR) by 20% over randomized ski-rental algorithm and 37% over deterministic algorithm. © 2021 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Franklin, Antonyhttps://orcid.org/0000-0002-1809-2025
Item Type: Conference or Workshop Item (Paper)
Additional Information: VII. ACKNOWLEDGEMENT This work was supported by the Department of Telecommunications, Ministry of Communications, India as part of the “Indigenous 5G Test Bed” project.
Uncontrolled Keywords: 5G network slice; cost optimization; Long Short-Term Memory (LSTM); Service Level Agreement (SLA); service provider; vertical industry
Subjects: Computer science
Computer science > Algorithm Analysis
Divisions: Department of Computer Science & Engineering
Depositing User: Ms Palak Jain
Date Deposited: 22 May 2023 09:34
Last Modified: 22 May 2023 09:34
URI: http://raiith.iith.ac.in/id/eprint/11462
Publisher URL: https://doi.org/10.1109/ANTS52808.2021.9937033
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