Optimal sensing energy and sensing interval in cognitive radio networks with energy harvesting-Reference-Cited by-同舟云学术

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Optimal sensing energy and sensing interval in cognitive radio networks with energy harvesting

Published:2021-02 Issue:7 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Abdelfattah Islam S.¹^ORCID,Rabia Sherif I.¹²,Abdelrazek Amr M.¹

Affiliation:

1. Department of Engineering Mathematics and Physics, Faculty of Engineering Alexandria University Alexandria 21544 Egypt

2. Basic and Applied Sciences Institute Egypt‐Japan University of Science and Technology (E‐JUST) New Borg El‐Arab City Alexandria 21934 Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4742

Reference24 articles.

1. Dynamic spectrum access in cognitive radio networks with RF energy harvesting

2. Energy-Spectrum Efficiency Trade-Off in Energy Harvesting Cooperative Cognitive Radio Networks

3. Cognitive radio: making software radios more personal

4. Cognitive radio: brain-empowered wireless communications

5. Sensing and Transmit Energy Optimization for an Energy Harvesting Cognitive Radio

Cited by 5 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. Optimal sensing energy and transmission interval in hybrid overlay–underlay cognitive radio networks with energy harvesting;Physical Communication;2022-08

2. A Novel Metaheuristic Optimization for Throughput Maximization in Energy Harvesting Cognitive Radio Network;Elektronika ir Elektrotechnika;2022-06-28

3. Optimal Intra-frame Sensing Interval in IEEE 802.22 WRAN Multi-class Systems;2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2022-06-07

4. Resource management for traffic imbalance problem in green cognitive radio networks;Physical Communication;2021-10

5. Optimal sensing energy and sensing interval in cognitive radio networks with energy harvesting;International Journal of Communication Systems;2021-02

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