As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …

In this paper, we propose an algorithm referred to as multipath matching pursuit (MMP) that
investigates multiple promising candidates to recover sparse signals from compressed …

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 …

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

Most of the calculations in standard sphere decoders are redundant in the sense that they
either calculate quantities that are never used or calculate some quantities more than once …

This paper presents the design and implementation of Geosphere, a physical-and link-layer
design for access point-based MIMO wireless networks that consistently improves network …

In many applications including communications, one may encounter a linear model where
the parameter vector x̂ is an integer vector in a box. To estimate x̂, a typical method is to …

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 …

Block diagonalization (BD) algorithm is a generalization of the channel inversion that
converts multiuser multi-input multi-output (MIMO) broadcast channel into single-user MIMO …

A companding-based transformation method is introduced to quasi-maximum-likelihood
(ML) detectors, such as the QR-decomposition-based M-algorithm (QRD-M) and list sphere …