The number of coefficients for estimating time-varying channel is generally much larger than
the maximum number of observable data. Linearly time-varying channel (LTV) models have …

Accurate channel state information is important in communication systems. This is especially
challenging in a wireless environment where the channel exhibits strong frequency and time …

Wireless communication technology has greatly expanded time scale and space scale of
communication, breaking the physical limitations and shackles of wired communication. With …

Deep learning has been extensively used in wireless communication problems, including
channel estimation. Although several data-driven approaches exist, a fair and realistic …

In vehicular communications, reliable channel estimation is critical for the system
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …

The fluctuating nature of wireless networks influences network performance. Estimation of
channel condition is essential for many reasons. The accurate estimation and prediction …

In wireless communication orthogonal frequency division multiplexing (OFDM) systems with
high mobility, channel estimation becomes challenging due to the double selectivity of …

To improve the time‐varying channel estimation accuracy of orthogonal frequency division
multiplexing air‐ground datalink in complex environment, this paper proposes a time …

With the rapid development of wireless communication technology, intelligent
communication has become one of the mainstream research directions after the fifth …

Recently, machine learning has been introduced in communications to deal with channel
estimation. Under nonlinear system models, the superiority of machine learning based …