Channel models, samples and network deployment strategies - Archive ouverte HAL
Rapport Année : 2024

Channel models, samples and network deployment strategies

Résumé

This document details the creation of a radio channel database using digital twin. The provided database will be exploited through the other work packages in order to optimize algorithms and improve the performance of the studied cell-free mMIMO technology. An automated calculation chain is employed to generate a substantial volume of data samples. The calibration phase ensures that the generated data aligns with real-world conditions and expectations. Following calibration, the generation phase involves the deterministic simulation of MIMO links. Then, the data samples undergo a compression phase. This involves the use of advanced algorithms to reduce the size of the data without loss of information, ensuring efficient storage and processing. Once the data samples are prepared, an initial analysis is conducted. This analysis primarily focuses on propagation-related metrics, which are crucial in understanding the performance and effectiveness of the network designs. These metrics include the distribution of received power, optical visibility, and overlapping indicators. By analysing these metrics, we can gain valuable insights into the network’s performance under various conditions. This initial analysis serves as a foundation for more detailed and technology-specific evaluations in the future.
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Dates et versions

hal-04692624 , version 1 (10-09-2024)

Identifiants

  • HAL Id : hal-04692624 , version 1

Citer

Aymen Jaziri, Yoann Corre, Jean-Baptiste Doré, David Demmer, Rafik Zayani. Channel models, samples and network deployment strategies. SIRADEL; CEA Leti; CNAM; IETR. 2024. ⟨hal-04692624⟩
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