Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities-Reference-Cited by-同舟云学术

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Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities

Published:2024-06-04 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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Author:

Sharma Ekta¹,Deo Ravinesh C.¹,Davey Christopher P.¹,Carter Brad D.²,Salcedo-Sanz Sancho³

Affiliation:

1. University of Southern Queensland,School of Mathematics, Physics and Computing,Springfield,Queensland,Australia,4300

2. University of Southern Queensland,Centre for Astrophysics,Toowoomba,Queensland,Australia,4350

3. Universidad de Alcalá,Department of Signal Processing and Communications,Alcalá de Henares,Spain,28805

Funder

University of Southern Queensland

Australian Government

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579075/10579079/10579244.pdf?arnumber=10579244

Reference6 articles.

1. Software-defined radio: a brief overview

2. Artificial Intelligence in Open-Radio Access Network

3. Artificial Intelligence Defined 5G Radio Access Networks

4. A CNN and LSTM-based approach to classifying transient radio frequency interference

Cited by 1 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. Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites;Sensors;2024-08-14

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