Deep Learning based Low Complexity Relay Selection for Wireless Powered Cooperative Communication Networks-Reference-Cited by-同舟云学术

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Deep Learning based Low Complexity Relay Selection for Wireless Powered Cooperative Communication Networks

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Balkan Conference on Communications and Networking (BalkanCom)
language:
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Author:

Onalan Aysun Gurur¹,Coleri Sinem¹

Affiliation:

1. Koc University,Department of Electrical and Electronics Engineering,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10167863/10167867/10167900.pdf?arnumber=10167900

Reference17 articles.

1. Joint Relay Selection and Power Allocation for Time-Varying Energy Harvesting-Driven UASNs: A Stratified Reinforcement Learning Approach

2. Cooperative Communications With Relay Selection Based on Deep Reinforcement Learning in Wireless Sensor Networks

3. Theory and Experiment for Wireless-Powered Sensor Networks: How to Keep Sensors Alive

4. Modelling the effects of charge redistribution during self-discharge of supercapacitors

5. Short-Packet Communications in Multihop Networks With WET: Performance Analysis and Deep Learning-Aided Optimization

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. Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

2. Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey;IEEE Transactions on Cognitive Communications and Networking;2024-06

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