Data · dataset · 2026
Simulation code and data for RSMA/SDMA/NOMA downlink benchmarking
Listed in Teesside University Research Data Repository
MATLAB simulation code, figures, and result tables supporting the manuscript “Reproducible Benchmarking of RSMA, SDMA, and NOMA Under Unified Multi-User Downlink Assumptions,” submitted to Physical Communication.
Description
The repository provides a reproducible benchmarking framework for comparing Rate-Splitting Multiple Access (RSMA), Space-Division Multiple Access (SDMA), and Non-Orthogonal Multiple Access (NOMA) under a unified set of channel, beamforming, and evaluation assumptions.
The simulations consider a two-user downlink MISO system with M = 4 base-station antennas, K = 2 single-antenna users, an SNR sweep from 0–30 dB, fixed random seeds, and paired Monte Carlo channel realisations. Full SNR sweeps use 1000–2000 Monte Carlo iterations per SNR point, while targeted per-realisation statistical comparisons use up to 5000 iterations. The dataset includes MATLAB code for scheme-specific precoding and rate calculation, shared configuration and channel-generation modules, validation scripts, MATLAB Online-compatible run scripts, final manuscript figures, and CSV tables underlying the reported results.
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The included README.md describes the folder structure, simulation parameters, reproducibility instructions, and the mapping between manuscript figures/tables and their corresponding source scripts and data files.
Links
Where it is published
- DOI doi.org/10.17632/6y4f3s3cvw.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Signal processing · Social Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/6y4f3s3cvw.1 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:400607 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Signal Processing'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |