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Title	A Research Trends Of Reinforcement Learning Algorithms For C-V2X Network Resource Allocation
ID_Doc	4083
Authors	Hong S.; Kim J.; Kim G.; Cho S.
Year	2024
Published	International Conference on Ubiquitous and Future Networks, ICUFN
DOI	http://dx.doi.org/10.1109/ICUFN61752.2024.10625282
Abstract	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. © 2024 IEEE.
Author Keywords	C-V2X; DDQN; DQN; DRL; IoT; IoV; Resource Allocation

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