In this paper, we introduce a Multilinear Generalized Singular Value Decomposition (ML-
GSVD) for two or more matrices with one common dimension. The ML-GSVD extends the …

In this paper, we propose a new Multilinear Generalized Singular Value Decomposition (ML-
GSVD) which allows to jointly factorize a set of matrices with one common dimension. The …

In this paper, we propose a generalized singular value decomposition (GSVD) for
polynomial matrices, or polynomial GSVD (PGSVD). We then consider PGSVD-based …

This paper introduces the fundamentals of generalized singular value decomposition
(GSVD) beamforming: a noniterative beamforming technique based on GSVD for the two …

In this paper we examine the use of generalized singular value decomposition (GSVD) for
coordinated beamforming in MIMO systems. GSVD facilitates joint decomposition of a class …

We present a multi-user multiple-input multiple-output (MU-MIMO) preceding scheme
utilizing generalized singular value decomposition (GSVD). Our work is motivated by the …

Generalized singular value decomposition (GSVD) has been recently regarded as a
competitive candidate among linear precoding schemes for multiple-input multiple-output …

In this treatise, we investigated the application of singular value decomposion (SVD)
assisted multiuser transmission in a multicell scenario. The SVD based scheme is capable …

We consider a cell-free massive MIMO (CF-mMIMO) system in which multiple access points
(APs), connected to a common central processing unit (CPU) through unbounded fronthaul …

This paper proposes an efficient beamforming scheme which attains optimality as singular
value decomposition (SVD) based systems with low complexity utilizing transmit maximum …