By adapting transmission parameters such as the constellation size, coding rate, and
transmit power to instantaneous channel conditions, adaptive wireless communications can …

A comprehensive review to the theory, application and research of machine learning for
future wireless communications In one single volume, Machine Learning for Future Wireless …

Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel conditions and consequently achieve great …

Channel state information (CSI) estimation is part of the most fundamental problems in 5G
wireless communication systems. In mobile scenarios, outdated CSI will have a serious …

With the aid of accurate channel state information (CSI) at the transmitter, a wireless system
can receive great performance by adaptively selecting its transmission parameters …

Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for
mobile nodes to achieve cooperative diversity in slow fading channels. However, the wrong …

This chapter provides a comprehensive introduction to channel prediction methods with an
emphasis on neural network‐based prediction. It first briefly describes adaptive transmission …

In this paper, we aim to efficiently and accurately predict the static channel impulse response
(CIR) with only the user's position information and a set of channel instances obtained within …

Compared with the traditional subspace-based methods, sparse signal recovery (SSR)
based methods have obvious advantages in performing the direction of arrival (DOA) …

Limited access to available spectrum motivates new age radio frequency (RF) systems to co-
exist and cooperate. In this paper, we consider a joint communication and radar system …