The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

MIMO-OFDM for LTE, WIFI and WIMAX: Coherent versus Non-Coherent and Cooperative
Turbo-Transceivers provides an up-to-date portrayal of wireless transmission based on …

In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the
radius of the decoding hypersphere is learned by a deep neural network (DNN). The …

Low Complexity MIMO Detection introduces the principle of MIMO systems and signal
detection via MIMO channels. This book systematically introduces the symbol detection in …

This paper investigates the optimal signal detection problem with a particular interest in
large-scale multiple-input multiple-output (MIMO) systems. The problem is NP-hard and can …

The practical challenge of capacity-achieving forward error-correcting codes (eg, space-time
turbo codes) is overcoming the tremendous complexity associated by their optimal joint …

We propose a new signal spreading-based non-orthogonal multiple access (NOMA)
schemes that exploits the frame-theoretic design principles to enable the efficient …

A modified sphere decoding (SD) scheme is proposed for multiple-input multiple-output
(MIMO) communication systems in this paper. The contribution of the paper includes the …

The need of reconstructing discrete-valued sparse signals from few measurements, that is
solving an underdetermined system of linear equations, appears frequently in science and …

For underdetermined linear systems, original sphere decoding (SD) algorithms fail due to
zero diagonal elements in the upper-triangular matrix of the QR or Cholesky factorization of …