Joint Fronthaul Load Balancing and Computation Resource Allocation in Cell-Free User-Centric Massive MIMO Networks Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2310.14911
We consider scalable cell-free massive multiple-input multiple-output networks under an open radio access network paradigm comprising user equipments (UEs), radio units (RUs), and decentralized processing units (DUs). UEs are served by dynamically allocated user-centric clusters of RUs. The corresponding cluster processors (implementing the physical layer for each user) are hosted by the DUs as software-defined virtual network functions. Unlike the current literature, mainly focused on the characterization of the user rates under unrestricted fronthaul communication and computation, in this work we explicitly take into account the fronthaul topology, the limited fronthaul communication capacity, and computation constraints at the DUs. In particular, we systematically address the new problem of joint fronthaul load balancing and allocation of the computation resource. As a consequence of our new optimization framework, we present representative numerical results highlighting the existence of an optimal number of quantization bits in the analog-to-digital conversion at the RUs.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2310.14911
- https://arxiv.org/pdf/2310.14911
- OA Status
- green
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387929592
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387929592Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2310.14911Digital Object Identifier
- Title
-
Joint Fronthaul Load Balancing and Computation Resource Allocation in Cell-Free User-Centric Massive MIMO NetworksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-23Full publication date if available
- Authors
-
Zhiyang Li, Fabian Göttsch, Siyao Li, Ming Chen, Giuseppe CaireList of authors in order
- Landing page
-
https://arxiv.org/abs/2310.14911Publisher landing page
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https://arxiv.org/pdf/2310.14911Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2310.14911Direct OA link when available
- Concepts
-
Computer science, Scalability, Distributed computing, Computation, Computer network, User equipment, Load balancing (electrical power), Radio access network, Base station, Algorithm, Geometry, Grid, Mobile station, Database, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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44Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.processors | 40 |
| abstract_inverted_index.computation | 94, 116 |
| abstract_inverted_index.consequence | 120 |
| abstract_inverted_index.constraints | 95 |
| abstract_inverted_index.dynamically | 31 |
| abstract_inverted_index.literature, | 61 |
| abstract_inverted_index.particular, | 100 |
| abstract_inverted_index.computation, | 76 |
| abstract_inverted_index.highlighting | 131 |
| abstract_inverted_index.optimization | 124 |
| abstract_inverted_index.quantization | 139 |
| abstract_inverted_index.unrestricted | 72 |
| abstract_inverted_index.user-centric | 33 |
| abstract_inverted_index.(implementing | 41 |
| abstract_inverted_index.communication | 74, 91 |
| abstract_inverted_index.corresponding | 38 |
| abstract_inverted_index.decentralized | 23 |
| abstract_inverted_index.multiple-input | 5 |
| abstract_inverted_index.representative | 128 |
| abstract_inverted_index.systematically | 102 |
| abstract_inverted_index.multiple-output | 6 |
| abstract_inverted_index.characterization | 66 |
| abstract_inverted_index.software-defined | 54 |
| abstract_inverted_index.analog-to-digital | 143 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.15263441 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |