Multiple antenna technologies have attracted much research interest for several decades
and have gradually made their way into mainstream communication systems. Two main …

When there are a large number of antennas in massive MIMO systems, the transmitted
wideband signal will be sensitive to the physical propagation delay of electromagnetic …

Sparse representation can efficiently model signals in different applications to facilitate
processing. In this article, we will discuss various applications of sparse representation in …

With the large number of antennas and subcarriers the overhead due to pilot transmission
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …

In this article, the new term, namely beam-space multiplexing, is proposed for the former
multi-layer beamforming for 4G TD-LTE in 3GPP releases. We provide a systematic …

This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in
frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …

Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …

Millimeter-wave (mmWave) communication using lens antenna array has emerged as a
promising techique for the next generation wireless communication systems, which has the …

In this paper, we propose a simple and efficient approach to reduce the overhead of
downlink channel estimation and feedback using linear regression (LR) and support vector …

Massive machine-type communications (mMTC) or massive Internet of things (IoT) is one of
the key application scenarios of fifth generation (5G) and beyond cellular networks. Since …