Data · dataset · 2026
Network topology, traffic demand, configuration dataset and results for disaggregated radio access networks planning
Listed in REDU - Unicamp Institutional Research Data Repository
This dataset contains the input data and optimization results used to evaluate resource allocation and configuration strategies for disaggregated Radio Access Networks (RANs).
Description
The input data include network topologies represented as weighted adjacency matrices, node characteristics (node type, deployment zone, and radio configuration), and traffic demand for each base station. The traffic demand was derived from a real-world cellular traffic dataset and processed to generate representative time-varying demand profiles for the evaluation scenarios using the window-bootstrap method.
The network topologies and node attributes were synthetically generated according to the parameters defined in the study based on published details of real implementations in the literature. The optimization results were obtained by solving mathematical optimization models under different network conditions and optimization objectives. The output data include the selected functional split configuration, Virtual Network Function (VNF) placement, routing decisions, node and link resource utilization, and the corresponding end-to-end latency for each evaluated scenario.
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This dataset was developed to support the reproducibility of the research on RAN energy minimization and to enable the validation, comparison, and further investigation of optimization methods for disaggregated RAN architectures.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FQJYSEX ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/qjysex ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Computer and Information Science
- Inferred from text
- Distributed computing and systems software 70%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/QJYSEX | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4606 | enrichment · redu unicamp br | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |