(Vehicle's YB)-based LPB prediction model and anti-LPB (communication link)-reconstruction strategy in the (VLC/RF)-V2X network

The hybrid vehicle-to-everything (V2X) network based on visible light communication (VLC) and radio frequency (RF) ((VLC/RF)-V2X Network) can provide a stable communication network to vehicles. It has great development forward. However, light path blocking (LPB) is a major problem for vehicular visible light communication (V-VLC). It can cause serious communication outage because the visible light signal cannot penetrate opaque obstacles. In view of this, a (vehicle's yielding behavior (YB))-based LPB prediction model and an anti-LPB (communication link)-reconstruction strategy in the hybrid network are firstly proposed. At first, based on vehicles' yielding behavior, a LPB prediction model is constructed. By this model, LPB can be predicted before the VLC link is blocked. Next, based on the prediction result of the model, a strategy of restructuring communication links is present. By this strategy, communication links can be self-adaptive changed or supplemented. Then, based on the proposed model and strategy, the anti-LPB scheme is finished. By the scheme, LPB can be avoided timely, communication outages and redundant handovers can be reduced effectively. Finally, by simulations, the model's validity and the scheme's effectiveness have been demonstrated. Through LPB prediction and link reconstruction, the proposed scheme avoids LPB caused by user-behavior blockage at source for the first time in multiple road regions. And it has the comparative advantages of faster response time and lower handover number. Compared with other methods, the average advance time of handovers is improved by 66.94% and the average handover number of the network is reduced by 68.48%. What is more, the path loss (PL) caused by LPBs is reduced by 92% on average.