TY - JOUR
T1 - Optimization of Receivers' Field of Views in Multi-User VLC Networks
T2 - A Bio-inspired Approach
AU - Eltokhey, Mahmoud Wafik
AU - Khalighi, Mohammad Ali
AU - Ghassemlooy, Zabih
N1 - Funding information:
This work has supported in part by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 764461 (VisIoN), and was based upon work from European Union's Horizon 2020 COST Action CA19111 (NEWFOCUS).
PY - 2022/4/4
Y1 - 2022/4/4
N2 - Visible light communication is a well-known emerging technology that enables high data rate wireless access in indoor environments by making dual-us e of light-emitting diode luminaires for providing lighting and communication. Managing multiple access and addressing the user's mobility are among the current challenges of this technology. To manage multiple access interference arising from unintended received signals of other users, different approaches have been proposed so far, including zero-forcing precoding and broadcasting of the users' signals. However, by this approach, the network performance is sensitive to the users' locations, since they affect the correlation properties of the network channel matrix. A higher correlation (e.g., for the case of users getting closer together) results in a performance degradation. To mitigate this, we propose a novel approach of optimizing the receivers field-of-views based on the bio-inspired particle swarm optimization in order to adapt to the users' location, and hence, improve the network's robustness. The efficiency of the proposed method is demonstrated through numerical simulations.
AB - Visible light communication is a well-known emerging technology that enables high data rate wireless access in indoor environments by making dual-us e of light-emitting diode luminaires for providing lighting and communication. Managing multiple access and addressing the user's mobility are among the current challenges of this technology. To manage multiple access interference arising from unintended received signals of other users, different approaches have been proposed so far, including zero-forcing precoding and broadcasting of the users' signals. However, by this approach, the network performance is sensitive to the users' locations, since they affect the correlation properties of the network channel matrix. A higher correlation (e.g., for the case of users getting closer together) results in a performance degradation. To mitigate this, we propose a novel approach of optimizing the receivers field-of-views based on the bio-inspired particle swarm optimization in order to adapt to the users' location, and hence, improve the network's robustness. The efficiency of the proposed method is demonstrated through numerical simulations.
KW - Correlation
KW - Iris
KW - Light emitting diodes
KW - Optimization
KW - Space exploration
KW - Tuning
KW - Visible light communication
UR - http://www.scopus.com/inward/record.url?scp=85127735247&partnerID=8YFLogxK
U2 - 10.1109/MWC.002.2000426
DO - 10.1109/MWC.002.2000426
M3 - Article
AN - SCOPUS:85127735247
SN - 1536-1284
VL - 29
SP - 132
EP - 139
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 2
ER -