Abstract
In this work, we explore the potential benefits and practical challenges associated with implementation of optical power domain non-orthogonal multiple access (OPD-NOMA) scheme for visible light communications (VLC) based vehicle-to-everything (V2X) networks with a major aim of providing vehicles with reliable, ubiquitous, and massive connectivity. In the proposed framework, an installed light source (e.g., traffic lamp post or street light lamp post) broadcasts a safety related message to desired nodes through visible light. However, such VLC transmission is subject to interference originating from the vehicles in the adjacent lane. Using the stochastic geometry approach, we model the locations of vehicles on the road via Poisson point process. We investigate the applicability of downlink OPD NOMA enabled V2X network for typical infrastructure-to-vehicle (I2V) communication in presence of interference caused from concurrent vehicle-to-vehicle (V2V) transmissions with an aid of stochastic geometry. Through the obtained results, it has been shown that the downlink OPD NOMA based V2X network offers improved performance in terms of outage performance and average achievable rate as compared to the conventional RF based V2X communication.
Highlights
According to 2020 survey statistics on road traffic injuries, issued by World Health Organization (WHO), the number of annual road traffic deaths has reached 1.35 millions
There exists tradeoff between NonOrthogonal Multiple Access (NOMA) based V-visible light communications (VLC) and V-radio frequency (RF) link depending upon the location of NOMA user from source
CONCLUDING REMARKS In this paper, we explore the potential benefit and research challenges involved with practical implementation of downlink OPD NOMA based V2X network for broadcasting road safety related information
Summary
According to 2020 survey statistics on road traffic injuries, issued by World Health Organization (WHO), the number of annual road traffic deaths has reached 1.35 millions To address this global issue, it is crucial to investigate and deploy a wide range of intelligent transportation system (ITS) mechanisms such as dissemination of cooperative awareness messages (CAMs) or basic safety messages (BSMs) to prevent and reduce road accidents. Conventional RF based vehicular networking tends to become incompetent in dense traffic scenarios as it suffers from higher interference, longer communication delays, and lower Packet Reception Probability (PRP) when hundreds of vehicles located in the same neighbourhood try to communicate simultaneously.
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