Future vehicular wireless networks are expected to reduce road accidents, enhance traffic efficiency, and lower carbon emissions by enabling seamless data exchange between vehicles, pedestrians, and road infrastructure. However, these networks require ultra-high throughput, as well as stringent latency and reliability standards that are beyond the capabilities of conventional network designs. Technologies such as millimeter-wave communication, clustering, many-to-many communication, and non-orthogonal multiple access (NOMA) are considered key enablers for building robust vehicular networks.

In this work, we explore the integration of these techniques to leverage their benefits while addressing their challenges. Specifically, we design a directional lane clustering model that ensures collision-free, ultra-reliable low-latency communication (URLLC) between vehicles traveling in the same lane. Additionally, we propose a novel NOMA-based many-to-many communication scheme to enable high-speed inter-cluster data exchange. The performance of the proposed schemes is evaluated through extensive network simulations using OMNET++ and MATLAB, demonstrating significant improvements over existing benchmark strategies.