A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks
Reconfigurable Intelligent Surfaces (RIS) are emerging as a key technology for programmable wireless environments in the beyond the fifth generation (B5G) networks. However, data-driven RIS research remains bottleneck by the lack of standardized, high-fidelity and open-source datasets. In this paper, we introduce a large-scale 3GPP TR 38.901-compliant dataset for RIS-aided millimeter wave (mmWave) networks, that considers severe path loss, blockage sensitivity, and spatial channel sparsity make the RIS assistance more impactful. The dataset spans various canonical 3GPP deployment scenarios across 20 controlled variants, capturing diverse user densities, fading conditions, and blockage reg...
| Authors | Pujitha Mamillapalli, Pankaj Singh Rathour, Abhinav Kumar |
|---|---|
| Primary category | cs.DB |
| Published | 30 September 2026 |
| Last updated at source | 30 September 2026 |
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