In a large-scale massive Multi User-Multiple Input Multiple Output (MU-MIMO) environment
channel estimation and beamforming is a breathtaking task for enhancing the array gain …

Sparse angular reciprocity refers to the fact that downlink and uplink channels share
common sparsity in angular domain. This sophisticated sparsity can be exploited to improve …

The downlink channel state information (CSI) must be available on the base station (BS)
side to take advantage of all the features of massive multiple-input multiple-output (MIMO) …

The massive multiple input multiple output (mMIMO) provides reliable base station (BS) for
the mobile users (MUs) with CSI (channel state information) and jointly offers spectral …

In this paper, we investigate the problem of non-linear time-varying regression in a wireless
sensor network system. A field over an area is estimated using a number of fixed sensors …

This paper considers the deep-learning-aided compressed video sensing problem. To this
end, a deep generative adversarial network has been proposed to provide an approximation …

As the number of base station (BS) antennas in massive multiple-input multiple-output
(MIMO) systems is dramatically increased, linear detection methods are able to achieve the …

Interference management is of paramount importance in heterogeneous massive mimo
networks (HetNet). In this paper, an algorithm has been suggested to suppress the …

The massive multiple-input multiple-output (massive MIMO) system is the major section of
the fifth generation (5G) future wireless cellular systems. It consists of hundreds of antennas …

This paper considers a massive multiple-input multiple-output (MIMO) wireless uplink
communication system over Rayleigh fading channels. In this system, two single-antenna …