We investigate the viability of using machine-learning techniques for estimating user-
channel features at a large-array base station (BS). In the scenario we consider, user-pilot …

In massive Multiple-Input Multiple-Output (MIMO)-Orthogonal Frequency Division
Multiplexing (OFDM) systems, channel estimation incurs high pilot overhead due to the high …

Training Based Channel Estimation in MIMO-OFDM Systems Page 1 Communications and
Network, 2012, 4, 54-60 http://dx.doi.org/10.4236/cn.2012.41008 Published Online …

Techniques for modeling and simulating channel conditions play an essential role in
understanding network protocol and application behavior. In [11], we demonstrated that …

The deep learning enhanced channel estimation is presented for the OFDM communication
in the Internet of Vehicles (10V). Using the image enhancement and denoising, the channel …

This letter addresses adaptive channel estimation for OFDM systems to reduce
computational complexity. There are numerous methods suggested for low-complexity …

In this paper, we address the problem of channel estimation in time-variant multi-path
environment in Orthogonal frequency division multiplexing systems (OFDM). Based on the …

This work pertains to the use of superimposed training for channel estimation in orthogonal
frequency division multiplexing (OFDM) based systems. An iterative time domain Least …

In this letter, we propose a deep-learning-based channel estimation scheme in an
orthogonal frequency division multiplexing (OFDM) system. Our proposed method, named …

This paper proposes low-complexity time-domain channel estimators for OFDM systems.
Time-domain channel estimation combined with frequency domain equalization is an …