Vehicular Network Spectrum Allocation Using Hybrid NOMA and Multi-agent Reinforcement Learning

• Main Authors: Alatabani L.E., Saeed R.A., Ali E.S., Mokhtar R.A., Khalifa O.O., Hayder G.
• Other Authors: 57224509526
• Format: Conference Paper
• Published: Springer Nature 2024
• Subjects: DDPG; Hybrid NOMA; MARL; Random allocation; Reinforcement Learning; Spectrum allocation; V2V communications
• Institution: Universiti Tenaga Nasional

The recent years have seen a proven impact of the reinforcement learning use in many applications which showed tremendous success in solving many decision-making paradigms in machine learning. Most of the successful applications involves the existence of more than one agent, which makes it fall into...