In this work, an efficient precoding design scheme is proposed for downl...
Active reconfigurable intelligent surfaces (RISs) have recently been pro...
The reconfigurable intelligent surface (RIS) has drawn considerable atte...
In the design of wireless systems, quantization plays a critical role in...
Mobile communication standards were developed for enhancing transmission...
Filter bank multiple access (FBMA) without subbands orthogonality has be...
The accuracy of available channel state information (CSI) directly affec...
This paper considers crowded massive multiple input multiple output (MIM...
Deep learning (DL) based autoencoder is a promising architecture to impl...
Deep learning (DL)-based autoencoder is a potential architecture to impl...
Deep learning (DL)-based autoencoder is a potential architecture to impl...
Massive multiple-input multiple-output (M-MIMO) is an enabling technolog...
For massive multiple-input multiple-output (MIMO) systems, linear minimu...
In this paper, deep neural network (DNN) is utilized to improve the beli...
Being an effective non-orthogonal multiple access (NOMA) technique, spar...
As the first error correction codes provably achieving the symmetric cap...
In massive MIMO (M-MIMO) systems, one of the key challenges in the
imple...
Massive multiple-input multiple-output (M-MIMO) technique brings better
...
In this paper, it is presented a methodology for implementing arbitraril...
With the ever-growing storage density, high-speed, and low-cost data acc...