mlsanityData to 7 Oct 2026

A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments

arXiv 2206.02165 ↗First posted 5 Jun 2022cs.IT cs.LG eess.SPcited by 6

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Abstract (arXiv)

Wireless communications systems are impacted by multi-path fading and Doppler shift in dynamic environments, where the channel becomes doubly-dispersive and its estimation becomes an arduous task. Only a few pilots are used for channel estimation in conventional approaches to preserve high data rate transmission. Consequently, such estimators experience a significant performance degradation in high mobility scenarios. Recently, deep learning has been employed for doubly-dispersive channel estimation due to its low-complexity, robustness, and good generalization ability. Against this backdrop, the current paper presents a comprehensive survey on channel estimation techniques based on deep learning by deeply investigating different methods. The study also provides extensive experimental simulations followed by a computational complexity analysis. After considering different parameters such as modulation order, mobility, frame length, and deep learning architecture, the performance of the studied estimators is evaluated in several mobility scenarios. In addition, the source codes are made available online in order to make the results reproducible.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 15 of its 57 references that are in the map. First posted on arXiv 5 Jun 2022.

Builds on

15 of 57 references.

References · 15

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3 more
  1. 2021Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11p Standardcited by 3
  2. 2018Extended GFDM Framework: OTFS and GFDM Comparisoncited by 1
  3. 2020Machine Learning Based Channel Modeling for Vehicular Visible Light Communicationcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 1; 2025: 0; 2026: 2.

6 papers.

  1. 2023Generative AI for Physical Layer Communications: A Surveycited by 17
  2. 2023Towards Explainable AI for Channel Estimation in Wireless Communicationscited by 5
  3. 2023Deep Learning Based Channel Estimation in High Mobility Communications Using Bi-RNN Networkscited by 3
  4. 2024Explainable AI for Enhancing Efficiency of DL-based Channel Estimationcited by 2
  5. 2026X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimationcited by 0
  6. 2026Wireless Foundation Models: State-of-the-Art and Open Challengescited by 0