Conditional Generative Adversarial Networks for Rx-to-Tx Translation in Wireless Communication Systems-Reference-Cited by-同舟云学术

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Conditional Generative Adversarial Networks for Rx-to-Tx Translation in Wireless Communication Systems

Published:2023-12-04 Issue: Volume: Page:7629-7634
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Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Amhoud El Mehdi¹,Jouhari Mohammed¹,Maksymyuk Taras²,Zerhouni Kawtar¹,Ibrahimi Khalil³

Affiliation:

1. College of Computing, Mohammed VI Polytechnic University,Ben Guerir,Morocco

2. Lviv Polytechnic National University,Department of Telecommunications,Lviv,Ukraine

3. Ibn Tofail University,Faculty of Sciences, Laboratory of Research in Informatics (LaRI),Kenitra,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437739.pdf?arnumber=10437739

Reference20 articles.

1. A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

2. Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks

3. Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning

4. Deep Reinforcement Learning-Based Energy Efficiency Optimization for Flying LoRa Gateways

5. OAM Mode Selection and Space–Time Coding for Atmospheric Turbulence Mitigation in FSO Communication

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