Dynamic spectrum access and sharing through actor-critic deep reinforcement learning

Dynamic spectrum access and sharing through actor-critic deep reinforcement learning

Abstract When primary users of the spectrum use frequency channels intermittently, secondary users can selectively transmit without interfering with the primary users. The secondary users adjust the transmission power allocation on the frequency channels to maximize their information rate while redu...

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Bibliographic Details
Main Authors: Liang Dong, Yuchen Qian, Yuan Xing
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Dynamic spectrum access
Spectrum sharing
Power allocation
Reinforcement learning
Deep deterministic policy gradient
Multi-agent cooperation
Online Access:https://doi.org/10.1186/s13638-022-02124-4

Internet

https://doi.org/10.1186/s13638-022-02124-4

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