The efficient rendering of scenes with many light sources remains one of the most challenging problems in real-time ray tracing. As the complexity of virtual environments continues to increase, with some scenes containing thousands of light sources, traditional Monte Carlo methods struggle to achieve acceptable noise levels under real-time constraints. This paper introduces a novel approach that combines Reservoir-based Spatiotemporal Importance Resampling (ReSTIR) with a specialised bounding volume hierarchy (BVH) structure to enhance light candidate generation for scenes with many light sources. The BVH-assisted candidate generation is tested on multiple scenes, resulting in a significant decrease in image noise levels measured with the root mean squared metric (RMSE), along with improved visual quality from the first frame onward, especially in scenes with numerous light sources illuminating local areas.