Neural Networks for Predicting the Optimal Beamforming Angles for Maximized Overall Wireless Network Capacity-Reference-Cited by-同舟云学术

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Neural Networks for Predicting the Optimal Beamforming Angles for Maximized Overall Wireless Network Capacity

Published:2024-02-19 Issue: Volume: Page:177-181
ISSN:
Container-title:2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Geranmayeh Parmida¹^ORCID,Grass Eckhard²^ORCID

Affiliation:

1. Humboldt University of Berlin,Faculty of Mathematics and Natural Sciences,Department of Computer Science,Berlin,Germany

2. Humboldt University of Berlin and IHP - Leibniz-Institut für innovative Mikroelektronik Frankfurt (Oder),Faculty of Mathematics and Natural Sciences,Department of Computer Science,Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463195.pdf?arnumber=10463195

Reference9 articles.

1. A study on the adoption of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning

2. Spatial-Temporal Cellular Traffic Prediction for 5G and Beyond: A Graph Neural Networks-Based Approach

3. Graph Neural Networks in IoT: A Survey

4. ADAPTIVE6G: Adaptive Resource Management for Network Slicing Architectures in Current 5G and Future 6G Systems

5. Role of Deep Learning in Wireless Communications

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