99.999% Transmission Reliability based on MAC layer Feedback-repeat Scheme for LiFi Networking with B5G/6G

Chen, Qiguan; Zhang, Min; Han, Dahai; Zhang, Zhiguo; Xu, Weishu

doi:10.1364/ofc.2021.f1a.5

Cited by 1 publication

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“…LED-based VLC systems have the following advantages: 4 (i) combining lighting and communication functions; (ii) resistant to electromagnetic interference; (iii) available unlicensed bandwidth; (iv) less harmful to humans and the environment; and (v) low laying cost. VLC technology is relevant in many fields, such as millimeter-accuracy indoor 3D positioning systems based on machine learning, 5 light fidelity transmission networks with a reliability of 99.999%, 6 underwater communications, 7 indoor multipoint access, 8 banking transactions, 9 and intelligent communication systems between vehicles. 10 Because the modulation bandwidth of LED is influenced by the carrier recombination lifetime in the active region and the PN junction capacitance, the 3-dB bandwidth is only approximately a few MHz.…”

Section: Introductionmentioning

confidence: 99%

Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

et al. 2023

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.To meet the anticipated future demand for optical wireless high data rates, our study proposed a deep learning model-based adaptive digital pre-equalization scheme for visible light communication (VLC) channels is proposed to increase the data rate. We established the deep learning model to predict pre-equalization parameter (PEP) which is adaptive for various VLC channels. The proposed system is flexible and adaptive for commercial light emitting diode with different channel conditions. It improves the bandwidth of different VLC channels up to 125 MHz and has been validated on a 250-Mbps testbed. Based on the experimental results, the PEP update time is at most 5.1 s, and the bit error ratio is always <1 × 10 − 6 while using the PEP in the deep learning network. Meanwhile, the predicted and optimal values of the PEP correspond at 250 Mbps, and the maximum error between the predicted and optimal values of the PEP are only 7 for various channel conditions, including optical power, data rate, send distance, and send angle. The adaptive pre-equalization capability of the proposed system would be a universal digital solution for high-speed access in 6G scenarios combined with the VLC spectrum.

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Section: Introductionmentioning

confidence: 99%

Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

et al. 2023

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99.999% Transmission Reliability based on MAC layer Feedback-repeat Scheme for LiFi Networking with B5G/6G

Abstract: A degenerated MAC layer feedback-repeat reliable transmission scheme was proposed and experimentally demonstrated for LiFi networking with B5G/6G. The experimental results of end-to-end packet loss ratio precedes 1/10000 (equals to 99.999% reliability).

Cited by 1 publication

References 5 publications

Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

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