A Research Trends of Reinforcement Learning Algorithms for C-V2X Network Resource Allocation

An extension of the concept of IoT, The vehicle Internet of Things (IoV) can support smart city development. For smooth communication of vehicle communication, is core of IoV, various requirements such as coverage range, latency, and throughput must be satisfied. Cellular-based C-V2X has emerged to solve this problem. C-V2X requires Resource Allocation (RA) to solve dense and heterogeneous networks. Recently, many studies applying Deep reinforcement learning (DRL) have been carried out and their performance has been proven. This paper investigates trend of C-V2X communication Resource Allocation using reinforcement learning for intelligent Resource Allocation.