Dual Dynamic Scheduling for Hierarchical QoS in Uplink-NOMA: A Reinforcement Learning Approach

Dual Dynamic Scheduling for Hierarchical QoS in Uplink-NOMA: A Reinforcement Learning Approach

The demand for bandwidth-intensive and delay-sensitive services is surging daily with the development of 5G technology, resulting in fierce competition for scarce radio resources. Power domain Nonorthogonal Multiple Access (NOMA) technologies can dramatically improve system capacity and spectrum eff...

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Bibliographic Details
Main Authors: Xiangjun Li, Qimei Cui, Jinli Zhai, Xueqing Huang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
deep deterministic policy gradient (DDPG)
hierarchical QoS
nonorthogonal multiple access (NOMA)
power allocation
reinforcement learning (RL)
Online Access:https://www.mdpi.com/1424-8220/21/13/4404

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