End-to-End SNR Capacity and throughput enhancement Using Non-Orthogonal Multiple access and Massive MIMO in 5G-Reference-Cited by-同舟云学术

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End-to-End SNR Capacity and throughput enhancement Using Non-Orthogonal Multiple access and Massive MIMO in 5G

Published:2024-06-21 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
language:
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Author:

Upadhyay Deepak¹,Upadhyay Abhay²,Gupta Mridul³,Sharma Kunj Bihari²

Affiliation:

1. Graphic Era Hill University,Dept. of Computer Science and Engineering,Dehradun,India

2. Graphic Era deemed to be University,Dept. of Computer Science and Engineering,Dehradun,India

3. Graphic Era deemed to be University,Dept. of Electronics and Communication Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10626293.pdf?arnumber=10626293

Reference10 articles.

1. Deep Neural Network (DNN) for Efficient User Clustering and Power Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks

2. Enhancement in the Network Capacity using MIMO and Antenna Array in 5G Technology

3. Capacity Enhancement for Cellular System using 5G Technology, mmWave and Higher order Sectorization

4. Multiclass Classification in Machine Learning Algorithms for Disease Prediction

5. Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

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