TY - GEN
T1 - On Energy-Efficient Clustering in User-Centric Li-Fi Networks
AU - Hsu, Ching Fang
AU - Ho, Yun Chung
AU - Pan, Wen Jie
AU - Jhang, Jie Min
AU - Su, Yi Wei
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85115708723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115708723&partnerID=8YFLogxK
U2 - 10.1109/ICC42927.2021.9500521
DO - 10.1109/ICC42927.2021.9500521
M3 - Conference contribution
AN - SCOPUS:85115708723
T3 - IEEE International Conference on Communications
BT - ICC 2021 - IEEE International Conference on Communications, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Communications, ICC 2021
Y2 - 14 June 2021 through 23 June 2021
ER -