Multi‐agent spectrum access with sensing skipping based on reinforcement learning

Author:

Zeng Linghui1ORCID,Zhang Jianzhao1

Affiliation:

1. The Sixty‐Third Research Institute National University of Defense Technology Nanjing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference37 articles.

1. A review of industrial wireless communications, challenges, and solutions: a cognitive radio approach;Oyewobi SS;Trans Emerg Telecommun Technol,2020

2. CiscoCisco visual networking index: global mobile data traffic forecast update 2017 - 2022 White Paper

3. February 2019.http://www.cisco.com/c/en/us/solutions/collateral/∖service‐provider/visual‐networking‐index‐vni/white‐paper‐c11‐738429.pdf.

4. ITUProposal for a new study on IMT development and technology trends;2020.https://www.itu.int/md/R19‐WP5D‐C‐0070.

5. KhattabA BayoumiMA. An overview of IEEE standardization efforts for cognitive radio networks. Paper presented at: Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS) Lisbon Portugal;2015:982‐985.

Cited by 2 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. Multipower‐level Q ‐learning algorithm for random access in nonorthogonal multiple access massive machine‐type communications systems;Transactions on Emerging Telecommunications Technologies;2022-04-10

2. Spectrum sensing in cognitive radio: A deep learning based model;Transactions on Emerging Telecommunications Technologies;2021-11-02

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