An overview of limited feedback in wireless communication systems

DJ Love, RW Heath, VKN Lau… - IEEE Journal on …, 2008 - ieeexplore.ieee.org
It is now well known that employing channel adaptive signaling in wireless communication
systems can yield large improvements in almost any performance metric. Unfortunately …

Cooperative communications for cognitive radio networks—From theory to applications

X Chen, HH Chen, W Meng - IEEE Communications surveys & …, 2014 - ieeexplore.ieee.org
Cognitive Radio has been recognized as a promising way to improve spectrum efficiency of
wireless communications by exploiting under-utilized licensed spectrum in temporal …

[SÁCH][B] Foundations of MIMO communication

RW Heath Jr, A Lozano - 2018 - books.google.com
Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …

Outage constrained robust transmit optimization for multiuser MISO downlinks: Tractable approximations by conic optimization

KY Wang, AMC So, TH Chang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we study a probabilistically robust transmit optimization problem under
imperfect channel state information (CSI) at the transmitter and under the multiuser multiple …

Systematic codebook designs for quantized beamforming in correlated MIMO channels

V Raghavan, RW Heath… - IEEE Journal on selected …, 2007 - ieeexplore.ieee.org
The full diversity gain provided by a multi-antenna channel can be achieved by transmit
beamforming and receive combining. This requires the knowledge of channel state …

Goal-oriented quantization: Analysis, design, and application to resource allocation

H Zou, C Zhang, S Lasaulce… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, the situation in which a receiver has to execute a task from a quantized version
of the information source of interest is considered. The task is modeled by the minimization …

Capacity of a multiple-antenna fading channel with a quantized precoding matrix

W Santipach, ML Honig - IEEE Transactions on Information …, 2009 - ieeexplore.ieee.org
Given a multiple-input multiple-output (MIMO) channel, feedback from the receiver can be
used to specify a transmit precoding matrix, which selectively activates the strongest channel …

Design and analysis of MIMO spatial multiplexing systems with quantized feedback

JC Roh, BD Rao - IEEE transactions on signal processing, 2006 - ieeexplore.ieee.org
This paper investigates the problem of transmit beamforming in multiple-antenna spatial
multiplexing (SM) systems employing a finite-rate feedback channel. Assuming a fixed …

MIMO transmit beamforming under uniform elemental power constraint

X Zheng, Y **e, J Li, P Stoica - IEEE Transactions on Signal …, 2007 - ieeexplore.ieee.org
We consider multi-input multi-output (MIMO) transmit beamforming under the uniform
elemental power constraint. This is a nonconvex optimization problem, and it is usually …

Distributed beamforming in wireless relay networks with quantized feedback

E Koyuncu, Y **g, H Jafarkhani - IEEE Journal on Selected …, 2008 - ieeexplore.ieee.org
This paper is on quantized beamforming in wireless amplify-and-forward (AF) relay
networks. We use the generalized Lloyd algorithm (GLA) to design the quantizer of the …