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New benchmark dataset released for RIS-aided Beyond 5G networks

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced a new benchmark dataset designed for Reconfigurable Intelligent Surfaces (RIS) in Beyond 5G networks. This dataset, compliant with 3GPP standards, addresses the lack of high-fidelity, open-source data for RIS-aided wireless environments. It includes comprehensive channel state information, optimal phase configurations, and channel quality index labels to support various machine learning tasks such as phase optimization and channel estimation. AI

IMPACT This dataset aims to accelerate data-driven research in RIS-aided B5G networks, potentially leading to more efficient wireless communication.

RANK_REASON The cluster contains an academic paper detailing a new benchmark dataset for a specific technology within telecommunications. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark dataset released for RIS-aided Beyond 5G networks

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The cluster contains an academic paper detailing a new benchmark dataset for a specific technology within telecommunications. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pujitha Mamillapalli, Pankaj Singh Rathour, Abhinav Kumar ·

    A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks

    arXiv:2609.39058v1 Announce Type: cross Abstract: 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 …

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