Joint buffer-aided hybrid-duplex relay selection and power allocation for secure cognitive networks with double deep Q-network

This paper applies the reinforcement learning in the joint relay selection and power allocation in the secure cognitive radio (CR) relay network, where the data buffers and full-duplex jamming are applied at the relay nodes. Two cases are considered: maximizing the throughput with the delay and secr...

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Bibliographic Details
Main Authors: Chong Huang, Gaojie Chen, Yu Gong, Zhu Han
Format: Default Article
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/2134/14544198.v1
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