Hybrid cascaded attention-guided refinement network-based optimal power allocation in MIMO-NOMA system

A Kumar - International Conference on Mathematical and …, 2023 - spiedigitallibrary.org
The multiple input multiple output (MIMO) plays an integral role in improving the energy
efficiency for enhancing the QoS of all users. For the 5G wireless communication (WC) …

Sum Data Rate and Energy Efficiency optimization of MIMO NOMA using CDNN

SC Rajendran, P Sudheesh - 2021 5th International …, 2021 - ieeexplore.ieee.org
The Non-Orthogonal Multiple Access (NOMA) is considered as a technique that satisfies
increasing demands of spectrum efficiency and system capacity in future 5G networks since …

Deep reinforcement learning for dynamic power allocation for non-orthogonal multiple-access (NOMA) system

J Dong - 2022 - dr.ntu.edu.sg
With the rapid development of communication technology, various wireless terminals have
been invented and applied, while the quality of communication services required by the …

Self‐attention convolutional neural network optimized with Remora Optimization Algorithm for energy aware resource management in Non‐orthogonal Multiple …

WV Dani, KV Praveen, S Murugesan… - International Journal of … - Wiley Online Library
Non‐orthogonal multiple access (NOMA) is an efficient technology for future wireless
communication systems. The resource management on NOMA networks is flattering for …

Dynamic user pairing and power allocation for NOMA with deep reinforcement learning

F Jiang, Z Gu, C Sun, R Ma - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
In this paper, we investigate the user pairing and power allocation scheme for multiple
cellular users (CUs) under the downlink non-orthogonal multiple access (NOMA) system. To …

Application of deep learning to energy-efficient power allocation scheme for 5G SC-NOMA system with imperfect SIC

W Saetan, S Thipchaksurat - 2019 16th International …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a multiuser access technique for 5G
communication system, which has drawn more attention from both academia and industry …

Application of deep learning to fairness-based power allocation for 5G NOMA system with imperfect SIC

W Saetan, S Thipchaksurat - … Technology 2020: Proceedings of the 16th …, 2020 - Springer
Non-orthogonal multiple access (NOMA) has been a promising technique for 5G
communication system, which has higher spectrum efficiency, energy efficiency and fairness …

Resource allocation in multi-cell NOMA systems with multi-agent deep reinforcement learning

S Wang, X Wang, Y Zhang, Y Xu - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) technology can meet user access requirements
and improve system capacity. In this paper, we investigate the joint subcarrier assignment …

Deep learning based radio resource management in NOMA networks: User association, subchannel and power allocation

H Zhang, H Zhang, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of future wireless communication, the combination of NOMA
technology and millimeter-wave (mmWave) technology has become a research hotspot. The …

Deep reinforcement learning-based MEC offloading and resource allocation in uplink NOMA heterogeneous network

W Liu, Y He, J Zhang, J Qiao - … , Communications and IoT …, 2021 - ieeexplore.ieee.org
With the advancement of fifth generation (5G) technology, mobile edge computing (MEC)
has been considered an effective solution to 5G technical problems. The applications of non …