On Energy-Efficient Clustering in User-Centric Li-Fi Networks

Ching Fang Hsu, Yun Chung Ho, Wen Jie Pan, Jie Min Jhang, Yi Wei Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


In traditional Light-Fidelity (Li-Fi) attocell networks, the dense structure of Li-Fi access points (APs) leads to severe inter-cell interference (ICI). User-centric (UC) networks, which dynamically reform amorphous cells as the user mobility varies in time, mitigate the effect brought by ICI. In this work, we propose a new user-centric clustering algorithm with the objective of maximizing energy efficiency (EE). In previous studies, clustering algorithms usually merely aim at minimizing the distance from the centroid of the cluster to UEs belonging to the cell. Since ICI is the main challenge in Li-Fi networks, separating cells as far as possible is also important. Therefore, we propose a new clustering algorithm that also considers the distance among constructed cells to yield better energy efficiency as the power consumption is further reduced.

Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171227
Publication statusPublished - 2021 Jun
Event2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
Duration: 2021 Jun 142021 Jun 23

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2021 IEEE International Conference on Communications, ICC 2021
CityVirtual, Online

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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