Linear computation coding is concerned with the compression of
multidime...
Classical antenna selection schemes require instantaneous channel state
...
Since the introduction of massive MIMO (mMIMO), the design of a transcei...
This manuscript goes through the fundamental connections between statist...
This paper develops a class of low-complexity device scheduling algorith...
This work extends the concept of channel hardening to multi-antenna syst...
Inverse probability problems whose generative models are given by strict...
Unlike active array antennas, intelligent reflecting surfaces (IRSs) are...
Unlike the classical linear model, nonlinear generative models have been...
Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-ou...
Oversampled adaptive sensing (OAS) is a Bayesian framework recently prop...
This paper characterizes the performance of massive multiuser spatial
mo...
This work studies secure transmission in intelligent reflecting surfaces...
In this work, we propose a new single-RF MIMO architecture which enjoys ...
This paper presents a method to calculate the exact block error probabil...
We present an algorithm to reduce the computational effort for the
multi...
In oversampled adaptive sensing (OAS), noisy measurements are collected ...
Invoking large transmit antenna arrays, massive MIMO wiretap settings ar...
This paper proposes a new linear precoding scheme for downlink transmiss...
Conventional hybrid analog-digital architectures for millimeter-wave mas...
Joint user selection and precoding in multiuser MIMO settings can be
int...
To keep massive MIMO systems cost-efficient, power amplifiers with rathe...
Most detection algorithms in spatial modulation (SM) are formulated as l...
Both antenna selection and spatial modulation allow for low-complexity M...
Oversampled adaptive sensing (OAS) is a recently proposed Bayesian frame...
In massive MIMO wiretap settings, the base station can significantly sup...
This paper proposes the class of Generalized Least-Square-Error (GLSE)
p...
The growth of interest in massive MIMO systems is accompanied with hardw...
This paper studies regularized least square recovery of signals whose
sa...
The typical approach for recovery of spatially correlated signals is
reg...
In this paper, we study the impacts of transmit antenna selection on the...
This paper studies the asymptotic performance of maximum-a-posteriori
es...
Due to the large power consumption in RF-circuitry of massive MIMO syste...
We develop a Bayesian framework for sensing which adapts the sensing tim...
This paper proposes a low complexity precoding algorithm based on the
re...