Deep Learning based Simultaneous Wireless Information and Power Transfer Enabled Massive MIMO NOMA for Beyond 5G
S Sabapathy, A Krishnan… - 2023 International …, 2023 - ieeexplore.ieee.org
The exponential growth of wireless data services driven by mobile internet and connected
devices has triggered the thriving of beyond fifth-generation (B5G) cellular networks. The …
devices has triggered the thriving of beyond fifth-generation (B5G) cellular networks. The …
Energy-efficient resource allocation in uplink NOMA systems with deep reinforcement learning
Y Zhang, X Wang, Y Xu - 2019 11th international conference …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is regarded as a promising technology to satisfy
the huge access demand and data rate requirements of the next generation network. In this …
the huge access demand and data rate requirements of the next generation network. In this …
[引用][C] Deep learning based power allocation schemes for NOMA system with imperfect SIC
W Saetan, S Thipchaksurat - Journal of Mobile …, 2023 - journals.riverpublishers.com
Non-orthogonal multiple access (NOMA) has been a promising technology for 5G
communication system. NOMA allows more than one user to utilize the same resource at the …
communication system. NOMA allows more than one user to utilize the same resource at the …
Priority-based joint resource allocation with deep Q-learning for heterogeneous NOMA systems
For heterogeneous demands in fifth-generation (5G) new radio (NR), a massive machine
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …
User selection and power allocation scheme with SINR-based deep learning for downlink NOMA
Innon-orthogonal multiple access (NOMA) systems, transmit power allocation plays a crucial
role in maximizing the sum rate, while satisfying quality of service requirements of users. In …
role in maximizing the sum rate, while satisfying quality of service requirements of users. In …
Energy-efficient power allocation in downlink multi-cell multi-carrier NOMA: Special deep neural network framework
Energy-efficient resource allocation for multi-cell multi-carrier non-orthogonal multiple
access (MCMC-NOMA) is a challenging task due to the interference and other related …
access (MCMC-NOMA) is a challenging task due to the interference and other related …
Deep learning-based sum data rate and energy efficiency optimization for MIMO-NOMA systems
The increasing demands for massive connectivity, low latency, and high reliability of future
communication networks require new techniques. Multiple-input-multiple-output non …
communication networks require new techniques. Multiple-input-multiple-output non …
Dynamic power allocation scheme for noma uplink in cognitive radio networks using deep q learning
Non-orthogonal multiple access (NOMA) is a promising technique to satisfy a host of access
demand and provide higher throughput. It enables that multiple users are multiplexed with …
demand and provide higher throughput. It enables that multiple users are multiplexed with …
Mobile Power Allocation Intelligent Optimization Algorithm for Cooperative NOMA Network based on CBAM-BiLSTM
L Xu, S Cao, X Fu, X Qin, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The non-orthogonal multiple access (NOMA) technology can greatly improve the spectral
efficiency of wireless communication systems. The incorporation of NOMA technology into a …
efficiency of wireless communication systems. The incorporation of NOMA technology into a …
Energy Efficient Power Allocation Framework for downlink MIMO-NOMA Heterogeneous IoT network: Non-Deep Learning and Deep Learning Approaches
J MLM - 2021 - europepmc.org
Non-orthogonal multiple access (NOMA) has been considered as a key candidate
technology in 5G networks. To improve the system efficiency of 5G systems, the design and …
technology in 5G networks. To improve the system efficiency of 5G systems, the design and …