What are available researches regarding channel estimation using machinese learning?
Best insight from top research papers
Machine learning (ML) based channel estimation methods have been explored in several research papers. Stenin and Kalachikov proposed a machine learning approach for wireless channel estimation in a multiuser multiantenna downlink system . They used a convolutional neural network (CNN) to estimate the channel in the frequency domain using LS channel estimation on CSI-RS pilot signals. Wang and Li also proposed a ML-based method for estimating the maximum Doppler shift (MDS) in OFDM systems . Their method used ML algorithms to learn the relationship between the statistic of the instantaneous frequency offset (IFO) and the MDS. Both studies showed improved performance compared to traditional channel estimation methods. Kamruzzaman et al. suggested using ML for evaluating the transmission medium in 5G and heterogeneous Internet of Things (H-IoT) scenarios . They emphasized the need for more effective channel modeling and estimation techniques in these emerging networks.
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| Papers (5) | Insight |
|---|---|
10 Jun 2022 | The provided paper discusses a machine learning-based method for maximum Doppler shift (MDS) estimation in OFDM systems, but it does not mention any other available researches regarding channel estimation using machine learning. |
30 Nov 2022 | The provided paper discusses a machine learning-based channel estimator for OFDM receivers with reduced redundancy and pilots. It does not mention other available researches on channel estimation using machine learning. |
10 Jun 2022 | The provided paper discusses a machine learning-based method for maximum Doppler shift estimation in OFDM systems, but it does not mention any other available researches regarding channel estimation using machine learning. |
30 Jun 2022 1 Citations | The paper discusses the numerical evaluation of channel estimation using machine learning in the context of 5G NR. It does not mention other specific researches on this topic. |
| The paper suggests using machine learning (ETM-ML) for evaluating the transmission medium and developing more effective channel modeling and estimation techniques. It does not specifically mention other available researches regarding channel estimation using machine learning. |
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