Joint Subcarrier and Power Allocation in Mobile Scenario of the OFDM Systems Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Information Science and Technology, Tibet University,Lhasa,China
2. School of Computer Science, Sichuan Normal University,Chengdu,China
3. School of Network & Communication Engineering, Chengdu Technological University,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150427/10150444/10150951.pdf?arnumber=10150951
Reference18 articles.
1. Joint Power Allocation and Channel Assignment for NOMA With Deep Reinforcement Learning
2. Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach
3. Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems
4. Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach
5. Channel Selection and Power Control for D2D Communication via Online Reinforcement Learning
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