AI-Driven Resource Allocation in Optical Wireless Communication Systems-Reference-Cited by-同舟云学术

AI-Driven Resource Allocation in Optical Wireless Communication Systems

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 23rd International Conference on Transparent Optical Networks (ICTON)
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Author:

Elgamal Abdelrahman S.¹,Aletri Osama Z.²,Yosuf Barzan A.¹,Adnan Qidan Ahmad³,El-Gorashi Taisir³,Elmirghani Jaafar M. H.³

Affiliation:

1. University of Leeds,School of Electronics and Electrical Engineering,Leeds,UK,LS2 9JT

2. Umm Al-Qura University,Department of Computer Engineering,Makkah,Saudi Arabia

3. Kings’ College London,Department of Engineering,London,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10207167/10207171/10207473.pdf?arnumber=10207473

Reference29 articles.

1. Cooperative artificial neural networks for rate-maximization in optical wireless networks;qidan;Proc ICC 2023 - IEEE International Conference on Communications,2023

2. Artificial Neural Network for Resource Allocation in Laser-based Optical wireless Networks

3. Fast and Efficient Adaptation Algorithms for Multi-Gigabit Wireless Infrared Systems

4. User-centric cell formation for blind interference alignment in optical wireless networks;adnan-qidan;Proc ICC 2021 - IEEE International Conference on Communications,2021

5. Resource Allocation in User-Centric Optical Wireless Cellular Networks Based on Blind Interference Alignment

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