Joint data power control and LSFD design in distributed cell-free massive MIMO under non-ideal UE hardware Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1186/s13638-024-02334-y
This paper investigates distributed cell-free massive multiple-input multiple-output with non-ideal user equipment hardware under spatially correlated channels. By employing the use-and-then-forget technique, a lower capacity bound is derived based on the established generalized UE hardware impairments model. In addition, maximum ratio combining can be used to derive a closed-form expression of the spectral efficiency (SE), which offers novel insights into the impact of non-ideal UE hardware on network performance. Furthermore, a max–min SE fairness problem with UE hardware impairments is established where the optimization variables are data power and large-scale fading decoding (LSFD) vectors. Since this is a non-convex problem, we devise an iterative alternating optimization algorithm based on the bisection search to acquire the globally optimal solution. Numerical results indicate that the recommended joint data power control and LSFD design algorithm provides higher SE for the weakest UE, thus significantly enhancing the total SE of the network.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13638-024-02334-y
- https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-024-02334-y
- OA Status
- gold
- Cited By
- 1
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391813520
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391813520Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s13638-024-02334-yDigital Object Identifier
- Title
-
Joint data power control and LSFD design in distributed cell-free massive MIMO under non-ideal UE hardwareWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-14Full publication date if available
- Authors
-
Ning Li, Pingzhi FanList of authors in order
- Landing page
-
https://doi.org/10.1186/s13638-024-02334-yPublisher landing page
- PDF URL
-
https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-024-02334-yDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-024-02334-yDirect OA link when available
- Concepts
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Computer science, Joint (building), Ideal (ethics), MIMO, Computer hardware, Power (physics), Control (management), Embedded system, Telecommunications, Artificial intelligence, Architectural engineering, Channel (broadcasting), Quantum mechanics, Physics, Philosophy, Epistemology, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.lower | 24 |
| abstract_inverted_index.novel | 58 |
| abstract_inverted_index.paper | 2 |
| abstract_inverted_index.power | 88, 127 |
| abstract_inverted_index.ratio | 41 |
| abstract_inverted_index.total | 144 |
| abstract_inverted_index.under | 14 |
| abstract_inverted_index.where | 82 |
| abstract_inverted_index.which | 56 |
| abstract_inverted_index.(LSFD) | 93 |
| abstract_inverted_index.derive | 47 |
| abstract_inverted_index.design | 131 |
| abstract_inverted_index.devise | 102 |
| abstract_inverted_index.fading | 91 |
| abstract_inverted_index.higher | 134 |
| abstract_inverted_index.impact | 62 |
| abstract_inverted_index.model. | 37 |
| abstract_inverted_index.offers | 57 |
| abstract_inverted_index.search | 112 |
| abstract_inverted_index.acquire | 114 |
| abstract_inverted_index.control | 128 |
| abstract_inverted_index.derived | 28 |
| abstract_inverted_index.massive | 6 |
| abstract_inverted_index.maximum | 40 |
| abstract_inverted_index.network | 68 |
| abstract_inverted_index.optimal | 117 |
| abstract_inverted_index.problem | 75 |
| abstract_inverted_index.results | 120 |
| abstract_inverted_index.weakest | 138 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.capacity | 25 |
| abstract_inverted_index.decoding | 92 |
| abstract_inverted_index.fairness | 74 |
| abstract_inverted_index.globally | 116 |
| abstract_inverted_index.hardware | 13, 35, 66, 78 |
| abstract_inverted_index.indicate | 121 |
| abstract_inverted_index.insights | 59 |
| abstract_inverted_index.network. | 148 |
| abstract_inverted_index.problem, | 100 |
| abstract_inverted_index.provides | 133 |
| abstract_inverted_index.spectral | 53 |
| abstract_inverted_index.vectors. | 94 |
| abstract_inverted_index.Numerical | 119 |
| abstract_inverted_index.addition, | 39 |
| abstract_inverted_index.algorithm | 107, 132 |
| abstract_inverted_index.bisection | 111 |
| abstract_inverted_index.cell-free | 5 |
| abstract_inverted_index.channels. | 17 |
| abstract_inverted_index.combining | 42 |
| abstract_inverted_index.employing | 19 |
| abstract_inverted_index.enhancing | 142 |
| abstract_inverted_index.equipment | 12 |
| abstract_inverted_index.iterative | 104 |
| abstract_inverted_index.max–min | 72 |
| abstract_inverted_index.non-ideal | 10, 64 |
| abstract_inverted_index.solution. | 118 |
| abstract_inverted_index.spatially | 15 |
| abstract_inverted_index.variables | 85 |
| abstract_inverted_index.correlated | 16 |
| abstract_inverted_index.efficiency | 54 |
| abstract_inverted_index.expression | 50 |
| abstract_inverted_index.non-convex | 99 |
| abstract_inverted_index.technique, | 22 |
| abstract_inverted_index.alternating | 105 |
| abstract_inverted_index.closed-form | 49 |
| abstract_inverted_index.distributed | 4 |
| abstract_inverted_index.established | 32, 81 |
| abstract_inverted_index.generalized | 33 |
| abstract_inverted_index.impairments | 36, 79 |
| abstract_inverted_index.large-scale | 90 |
| abstract_inverted_index.recommended | 124 |
| abstract_inverted_index.Furthermore, | 70 |
| abstract_inverted_index.investigates | 3 |
| abstract_inverted_index.optimization | 84, 106 |
| abstract_inverted_index.performance. | 69 |
| abstract_inverted_index.significantly | 141 |
| abstract_inverted_index.multiple-input | 7 |
| abstract_inverted_index.multiple-output | 8 |
| abstract_inverted_index.use-and-then-forget | 21 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.52011928 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |