Channel Modelling and Error Performance Investigation for Reading Lights Based In-flight LiFi
Anil Yesilkaya, Harald Haas

TL;DR
This paper develops a detailed optical channel model for in-flight LiFi communication, evaluating its performance and the impact of cabin environment and terminal mobility on data transmission quality.
Contribution
It introduces a novel Monte Carlo Ray Tracing channel modeling technique and a realistic simulator for in-flight LiFi, considering cabin details and measurement-based parameters.
Findings
Location of mobile terminal significantly affects performance.
Accurate cabin modeling improves channel condition predictions.
Operational wavelength and mobility influence optical channel quality.
Abstract
The new generation of communication technologies are constantly being pushed to meet a diverse range of user requirements such as high data rate, low power consumption, very low latency, very high reliability and broad availability. To address all these demands, 5G radio access technologies have been extended into a wide range of new services. However, there are still only a limited number of applications for RF based wireless communications inside aircraft cabins that comply with the 5G vision. Potential interference and safety issues in on-board wireless communications pose significant deployment challenges. By transforming each reading light into an optical wireless AP, LiFi, could provide seamless on-board connectivity in dense cabin environments without RF interference. Furthermore, the utilization of available reading lights allows for a relatively simple, cost-effective…
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