Accurate channel state information (CSI) is important for many candidate techniques of
future wireless communication systems. However, acquiring CSI can sometimes be difficult …

Channel state information (CSI) estimation is one of the most fundamental problems in
wireless communication systems. Various methods, so far, have been developed to conduct …

For a 5G wireless communication system, a convolutional deep neural network (CNN) is
employed to synthesize a robust channel state estimator (CSE). The proposed CSE extracts …

Wi‐Fi networks rely on channel estimation to ensure their performance. The computational
complexity and dependability of fifth generation telecommunication networks have …

Nowadays, there is a trend to employ adaptive solutions in mobile communication. The
adaptive transmission systems seem to answer the need for highly reliable communication …

To provide customized high-quality services for all users in the sixth-generation (6G)
wireless communication systems, it is fundamental to study all 6G channel scenarios and …

Accurate channel state information (CSI) is a prerequisite to reap the benefits of fading-
adaptive wireless communications. In practice, however, the available CSI is generally …

The standardization process of the fifth generation (5G) wireless communications has
recently been accelerated and the first commercial 5G services would be provided as early …

Channel state information (CSI) plays a vital role in fading-adaptive wireless systems,
whereas acquired CSI is generally inaccurate due to feedback delay. Channel prediction …

In this study, a deep learning bidirectional long short-term memory (BiLSTM) recurrent
neural network-based channel state information estimator is proposed for 5G orthogonal …