TY - GEN
T1 - A novel mobile multi-user LiFi system
AU - Nguyen, Trang
AU - Yesilkaya, Anil
AU - Chen, Cheng
AU - Haas, Harald
N1 - © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PY - 2022/8/11
Y1 - 2022/8/11
N2 - In this paper, a vehicular light-fidelity (LiFi) system, which supports mobility for seamless broadband data transmission is proposed for multipoint-to-point (M2P) communication. To this end, a novel digital mirror device (DMD) based receiver (RX) is investigated that consists of two functionalities, to sense the transmitters and sense mobility. Relying on the proposed hybrid waveform, the proposed RX has the ability to detect and distinguish multiple transmitter (TX) sources under free movement conditions within three-dimensional space. Computer simulation results for the ‘TX sensing platform’ show that a high TX detection and identification performance is achieved at an extremely low channel signal-to-noise-ratio (SNR) of −11 dB and a bit error ratio (BER) of 10−4. Furthermore. the simulation results for the ‘mobility sensing platform’ was able to trace the positions of light sources simultaneously with the error rate of below 2% relative to the diameter of light spots on the DMD for all considered mobility scenarios.
AB - In this paper, a vehicular light-fidelity (LiFi) system, which supports mobility for seamless broadband data transmission is proposed for multipoint-to-point (M2P) communication. To this end, a novel digital mirror device (DMD) based receiver (RX) is investigated that consists of two functionalities, to sense the transmitters and sense mobility. Relying on the proposed hybrid waveform, the proposed RX has the ability to detect and distinguish multiple transmitter (TX) sources under free movement conditions within three-dimensional space. Computer simulation results for the ‘TX sensing platform’ show that a high TX detection and identification performance is achieved at an extremely low channel signal-to-noise-ratio (SNR) of −11 dB and a bit error ratio (BER) of 10−4. Furthermore. the simulation results for the ‘mobility sensing platform’ was able to trace the positions of light sources simultaneously with the error rate of below 2% relative to the diameter of light spots on the DMD for all considered mobility scenarios.
KW - energy loss
KW - error analysis
KW - systems architecture
KW - receivers
KW - light fidelity
KW - sensors
KW - optical transmitters
KW - mobile LiFi
KW - multipoint-to-point (M2P)
KW - receiver architecture
KW - hybrid waveform
KW - light sources identification
KW - mobility sensing
KW - digital mirror device (DMD)
U2 - 10.1109/ICC45855.2022.9838651
DO - 10.1109/ICC45855.2022.9838651
M3 - Conference contribution book
SN - 9781538683484
T3 - IEEE International Conference on Communications
SP - 589
EP - 594
BT - ICC 2022 - IEEE International Conference on Communications
PB - IEEE
CY - Piscataway, NJ
T2 - ICC 2022 - IEEE International Conference on Communications
Y2 - 16 May 2022 through 20 May 2022
ER -