[PDF][PDF] Delay constrained resource allocation for NOMA enabled satellite internet of things with deep reinforcement learning

X Yan, K An, Q Zhang, G Zheng… - IEEE Internet of Things …, 2020 - orbilu.uni.lu
With the ever increasing requirement of transferring data from/to smart users within a wide
area, satellite internet of things (S-IoT) networks has emerged as a promising paradigm to …

Characterizing the DNN Impact on Multiuser PD-NOMA System Based Channel Estimation and Power Allocation

M Gaballa, M Abbod, A Aldallal - Artificial Intelligence and Transforming …, 2023 - Springer
This Paper demonstrates how the channel estimation based Deep Learning (DL) and power
optimization are jointly utilized for multiuser (MU) recognition in Power domain Non …

Power Control in massive MIMO Networks Using Transfer Learning with Deep Neural Networks

N Ahmadi, I Mporas… - 2022 IEEE 27th …, 2022 - ieeexplore.ieee.org
Power control (PC) plays a crucial role in massive multiple-input-multiple-output (mMIMO)
networks. There are several heuristic algorithms, like the weighted mean square error …

A comparative analysis of the various power allocation algorithm in NOMA-MIMO network using DNN and DLS algorithm

R Mancharla, Y Bulo - EAI Endorsed Transactions on Mobile …, 2022 - publications.eai.eu
The high data rate, huge spectrum efficiency, successive interference cancellation (SIC),
and ultra-reliable low latency (URLL) are of the demand for next-generation technologies …

Optimized NOMA System Using Hybrid Coding and Deep Learning-Based Channel Estimation

J Dharshini, PD Jordhana - Wireless Personal Communications, 2024 - Springer
Non-orthogonal multiple access (NOMA) is the most emerging radio access scheme for fifth-
generation (5G) cellular networks. However, the major drawbacks of present NOMA systems …

Delay-limited performance analysis of NOMA-enabled satellite internet of things

X Yan, K An, D Li, H Xi, Y Wang, X Li… - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
With great potential to support ubiquitous services in large footprint areas, satellite internet of
things (S-IoT) is attracting increasing attentions in sixth-generation (6G) wireless …

Enhancements to the deep learning signal detection model in non-orthogonal multiple access receivers and noisy channels

AH Ali, RSH Al-Musawi… - … of Telecommunications and …, 2022 - search.informit.org
This paper presents an enhanced deep learning-based Non-Orthogonal Multiple Access
(NOMA) receiver that can mainly be used in low signal-to-noise channels. We show how a …

Deep learning based dynamic uplink power control for NOMA ultra-dense network system

X Liu, X Chen, Y Chen, Z Li - … 2019, Guangzhou, China, December 7–8 …, 2020 - Springer
As the development of blockchain and 5G, all kinds of intelligent devices have increasingly
higher requirements on data rate and computing power, a large number of base stations are …

A survey of existing studies on NOMA application to multi-beam satellite systems for 5G

JS Biyoghe, V Balyan - Inventive Systems and Control: Proceedings of …, 2021 - Springer
The non-orthogonal multiple access (NOMA) technology and the satellite communication
systems have been identified as key enabling technologies for the achievement of the fifth …

An Investigation of the Optimum Power Allocation Technique in the MIMO-NOMA Network with the Deep Neural Network and Depth Limited Search Algorithm

M., Ravi, Y Bulo - IETE Journal of Research, 2023 - Taylor & Francis
The non-orthogonal multiple-access (NOMA) technique affords massive user scaling,
industrial use for mission-critical communication, and multi-user shared in a single resource …