Efficient Kernel Design of Support Vector Machine for IoT Networks

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

A high-level goal of 6G cellular networks will be achieved by enhancing the current 5G technologies as well as adopting new techniques such as artificial intelligent (AI). The AI will be a new blood to improve 6G cellular networks. The AI techniques enable us to find the hidden patterns from cellular network data and optimize cellular networks. The Internet-of-Things (IoT) will be a key application of 6G systems and play an important role in 6G ecosystem by creating many new business models. As 6G systems have a higher requirement of networks, the IoT networks in 6G should be designed more efficiently. We expect to improve the performance of IoT networks significantly by adopting AI techniques. The support vector machines (SVMs) as one of key machine learning techniques solved many real-world problems in many different areas such as face recognition, imagine processing, and so on. Since the kernel method as a key component of SVMs is computationally cheaper than the explicit computation, it is widely used when implementing SVMs. Selection of a kernel function directly affects to the performance of SVMs. In this paper, we investigate kernel function design and propose a new design method using a linear combination and K-fold cross validation. We show that the proposed scheme reduces approximately 30% misclassification error rather than conventional single kernel.
Original languageEnglish
Title of host publication2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages637-641
ISBN (Electronic)979-8-3503-3333-6
ISBN (Print)979-8-3503-3334-3
DOIs
Publication statusPublished - 2023
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023 - Kyoto, Japan
Duration: 26 Jun 202328 Jun 2023

Conference

ConferenceIEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
Country/TerritoryJapan
CityKyoto
Period26/06/2328/06/23

Funding

This work was supported by the European Commission in the framework of the H2020-ICT-19-2019 project 5G-HEART (Grant agreement no. 857034).

Keywords

  • 6G
  • Artificial intelligence
  • IoT
  • Kernel trick and so on
  • Supervised learning
  • Support vector machine

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