Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
the next generation of wireless communication networks because it has the potential to …

In this paper, we create a framework for training-based channel estimation under different
channel and interference statistics. The minimum mean square error (MMSE) estimator for …

This paper considers pilot-based channel estimation in large-scale multiple-input multiple-
output (MIMO) communication systems, also known as “massive MIMO,” where there are …

For MIMO systems, due to the deployment of multiple antennas at both the transmitter and
the receiver, the design variables, eg, precoders, equalizers, and training sequences, are …

Radio frequency (RF) chain circuits play a major role in digital receiver architectures,
allowing passband communication signals to be processed in baseband. When operating at …

This paper addresses the design issues of the multiantenna-based cognitive radio (CR)
system that is able to concurrently operate with the licensed primary-radio (PR) system. We …

This book introduces the theoretical elements at the basis of various classes of algorithms
commonly employed in the physical layer (and, in part, in MAC layer) of wireless …

In this paper, we study the channel estimation and the optimal training design for relay
networks that operate under the decode-and-forward (DF) strategy with the knowledge of the …

In this paper, we study the channel estimation problem in correlated massive multiple-input-
multiple-output (MIMO) systems with a reduced number of radio-frequency (RF) chains …

The contributions of this article are twofold: Firstly, we introduce a novel class of sequence
pairs, called “cross Z-complementary pairs (CZCPs),” each displaying zero-correlation zone …