Deep Learning-based Spectral Efficiency Maximization in Massive MIMO-NOMA Systems with STAR-RIS-Reference-Cited by-同舟云学术

Deep Learning-based Spectral Efficiency Maximization in Massive MIMO-NOMA Systems with STAR-RIS

Published:2023-02-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Yoga Perdana Ridho Hendra¹,Nguyen Toan-Van²,Pramitarini Yushintia¹,Shim Kyusung³,An Beongku⁴

Affiliation:

1. Hongik University,Dept. of Software and Communications Engineering in Graduate School,Republic of Korea

2. School of Computer Science and Engineering, International University - Vietnam National University,HCM City,Vietnam

3. School of Computer Engineering and Applied Mathematics, Hankyong National University,Republic of Korea

4. Hongik University,Dept. of Software and Communications Engineering,Republic of Korea

Funder

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066849/10066958/10067078.pdf?arnumber=10067078

Reference14 articles.

1. A Deep-Neural-Network-Based Relay Selection Scheme in Wireless-Powered Cognitive IoT Networks

2. Hybrid User Pairing for Spectral and Energy Efficiencies in Multiuser MISO-NOMA Networks With SWIPT

3. An intelligent switch with back-propagation neural network based hybrid power system

4. Outage Probability Analysis of STAR-RIS Assisted NOMA Network With Correlated Channels

5. Short-Packet Communications in Multi-Hop Networks with WET: Performance Analysis and Deep Learning-Aided Optimization;nguyen;IEEE Trans Wirel Commun,2022

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