A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing-Reference-Cited by-同舟云学术

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A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing

Published:2021-08 Issue:8 Volume:39 Page:2526-2540
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Doshi Akash^ORCID,Yerramalli Srinivas^ORCID,Ferrari Lorenzo,Yoo Taesang,Andrews Jeffrey G.^ORCID

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9486979/09448143.pdf?arnumber=9448143

Cited by 29 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

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2. Unlicensed Spectrum Access and Performance Analysis for NR-U/WiGig Coexistence in UAV Communication Systems;Drones;2024-08-28

3. Graph Neural Network for Distributed Beamforming and Power Control in Massive URLLC Networks;IEEE Transactions on Wireless Communications;2024-08

4. Enhancing UAV-assisted vehicle edge computing networks through a digital twin-driven task offloading framework;Wireless Networks;2024-07-02

5. Fairness-Aware Intelligent Multi-BD Scheduling in Symbiotic Radio Networks Using Soft Actor-Critic;IEEE Transactions on Vehicular Technology;2024-06

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