Deep Deterministic Policy Gradient (DDPG)-Based Resource Allocation Scheme for NOMA Vehicular Communications

• Published in: IEEE access Vol. 8; pp. 18797 - 18807
• Main Authors: Xu, Yi-Han, Yang, Cheng-Cheng, Hua, Min, Zhou, Wen
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aerospace electronics; Algorithms; deep deterministic policy gradient (DDPG); Device-to-device communication; Frequency spectrum; Markov processes; Multiagent systems; NOMA; non-orthogonal multiple access (NOMA); Nonorthogonal multiple access; Quality of service; Reliability; Resource allocation; Resource management; Safety critical; Vehicle-to-everything; Vehicular communications

This paper investigates the resource allocation problem in vehicular communications based on multi-agent Deep Deterministic Policy Gradient (DDPG), in which each Vehicle-to-Vehicle (V2V) communication acts as agent and adopts Non-Orthogonal Multiple Access (NOMA) technology to share the frequency sp...