Intelligent Spectrum Sensing and Access with Partial Observation Based on Hierarchical Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Intelligent Spectrum Sensing and Access with Partial Observation Based on Hierarchical Multi-Agent Deep Reinforcement Learning

Published:2023 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Li Xuanheng¹^ORCID,Zhang Yulong¹^ORCID,Ding Haichuan²^ORCID,Fang Yuguang³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

2. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

3. Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/10226499.pdf?arnumber=10226499

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SVM Algorithm for Cooperative Spectrum Sensing in Wireless Fading Channels;2023 3rd International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS);2023-12-06

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