From the numerical evaluations, we show that the proposed autoencoder-based pilot allocation technique outperforms conventional approaches by a large margin, ...

Deep Learning-Based Joint Pilot Design and Channel Estimation for OFDM Systems · Computer Science, Engineering. IEEE Transactions on Communications · 2023.

In fact, the learning capability of AI is particularly useful in estimating traffic channel distribution to realize flexible channel allocation [146] and ...

Dive into the research topics of 'Pilot assignment and channel estimation via deep neural network'. Together they form a unique fingerprint. Pilot Assignment ...

Aug 20, 2024 · To mitigate the contamination and to estimate the suitable channel for communication, an efficient strategy is introduced using the proposed ...

Fingerprint. Dive into the research topics of 'Pilot assignment and channel estimation via deep neural network'. Together they form a unique fingerprint.

In this paper, we propose a neural network (NN)-based joint pilot design and downlink channel estimation scheme for frequency division duplex (FDD). MIMO ...

Feb 7, 2022 · In [33] and [34], the pilot and channel estimator are jointly optimized for downlink massive MIMO with autoencoders, where the pilot matrix and.

This paper aims to review the relevant research on applying deep learning methods in channel estimation.

Feb 20, 2024 · The work demonstrates the use of 5G sounding reference signals (SRS) parameters for conduct- ing channel estimation via pilots organized in a.