Platoon Partition and Resource Allocation for Ultra-Reliable V2X Networks

In this article, we study the joint platoon partition, power control and spectrum allocation for platoon communication in cellular vehicle-to-everything (V2X) networks with uncertain channel parameters. A distributionally robust (DR) optimization problem is formulated to maximize the vehicle-to-infrastructure (V2I) capacity whilst guaranteeing the reliability of intra-platoon communication. For solving the DR problem, a statistical-based approach is developed to learn the distributional ambiguity set from historical uncertain channels. Then, based on it, a data-driven equivalent transformation approach is proposed to transform the probabilistic vehicle-to-vehicle (V2V) reliability requirement into a deterministic semidefinite expression. Considering that the resource allocation is built on the platoon partition result, the formulated problem is decomposed into a resource allocation problem and a platoon partition problem. Then, a low-complexity two-stage wireless resource allocation strategy is proposed for V2X networks, which contains power control and spectrum matching. After that, the platoon partition is transformed into a specific Markov chain design problem. An exploration-consolidation learning algorithm is proposed to obtain the optimal platoon partition according to the designed Markov transition rate. Finally, simulation results verify that the proposed algorithm is superior to other existing schemes.