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Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks

Research article (IEEE Transactions on Vehicular Technology, 2022) · cited 18× · AI/ML
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Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks

Summary

Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks is a scholarly article[1].

Key Facts

  • Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-convolutional-self-attention-network-for-energy-efficient-power-control-in-noma-networks
MLA “Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-convolutional-self-attention-network-for-energy-efficient-power-control-in-noma-networks.
BibTeX @misc{4ortxyz_deep-convolutional-self-attention-network-for-energy-efficient-power-control-in-noma-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks}}, year = {2026}, url = {https://4ort.xyz/entity/deep-convolutional-self-attention-network-for-energy-efficient-power-control-in-noma-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Convolutional Self-Attention Network for Energy-Efficient Power Control in NOMA Networks — https://4ort.xyz/entity/deep-convolutional-self-attention-network-for-energy-efficient-power-control-in-noma-networks (retrieved 2026-05-24)

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