Deep Learning based Multi-User Power Allocation and Hybrid Precoding in Massive MIMO Systems Article Swipe
Asil Koç
,
Mike Wang
,
Tho Le‐Ngoc
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2201.12659
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2201.12659
This paper proposes a deep learning based power allocation (DL-PA) and hybrid precoding technique for multiuser massive multiple-input multiple-output (MU-mMIMO) systems. We first utilize an angular-based hybrid precoding technique for reducing the number of RF chains and channel estimation overhead. Then, we develop the DL-PA algorithm via a fully-connected deep neural network (DNN). DL-PA has two phases: (i) offline supervised learning with the optimal allocated powers obtained by particle swarm optimization based PA (PSO-PA) algorithm, (ii) online power prediction by the trained DNN. In comparison to the computationally expensive PSO-PA, it is shown that DL-PA greatly reduces the runtime by 98.6%-99.9%, while closely achieving the optimal sum-rate capacity. It makes DL-PA a promising algorithm for the real-time online applications in MU-mMIMO systems.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2201.12659
- https://arxiv.org/pdf/2201.12659
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221145362
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4221145362Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2201.12659Digital Object Identifier
- Title
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Deep Learning based Multi-User Power Allocation and Hybrid Precoding in Massive MIMO SystemsWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-29Full publication date if available
- Authors
-
Asil Koç, Mike Wang, Tho Le‐NgocList of authors in order
- Landing page
-
https://arxiv.org/abs/2201.12659Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2201.12659Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2201.12659Direct OA link when available
- Concepts
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Precoding, Overhead (engineering), Particle swarm optimization, Computer science, MIMO, Deep learning, Artificial neural network, Artificial intelligence, Channel (broadcasting), Algorithm, Computer network, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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