Data and pilot power controls scheme based on convolutional neural network for massive cellular system with underlaid device‐to‐device communications-Reference-Cited by-同舟云学术

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Data and pilot power controls scheme based on convolutional neural network for massive cellular system with underlaid device‐to‐device communications

Published:2022-05-05 Issue:11 Volume:35 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Communication

Author:

Faragallah Osama S.¹,El‐sayed Hala S.²,El‐Mashed Mohamed G.³

Affiliation:

1. Department of Information Technology, College of Computers and Information Technology Taif University Taif Saudi Arabia

2. Department of Electrical Engineering, Faculty of Engineering Menoufia University Shebin El‐Kom Egypt

3. Department of Electronics and Electrical Communications, Faculty of Electronic Engineering Menoufia University Menouf Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.5201

Reference41 articles.

1. ZhiqunZ. RuiY. XianfuC. andCelimugeW. “Deep reinforcement learning for D2D transmission in unlicensed bands ” IEEE/CIC International Conference on Communications Workshops China 2019.

2. Device-to-device meets LTE-unlicensed

3. Optimizing Design Parameters for Relay-Aided Massive MIMO Systems

4. Massive Relaying Communication System Under IQ Imbalance and Hardware Manufacturing Problems

5. Distributed Resource Allocation for D2D Communications Underlaying Cellular Networks in Time-Varying Environment

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