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Analysis of precoder decomposition algorithms for MIMO system design
ABSTRACT Wireless communication over Multiple Input and Multiple Output (MIMO)
channel achieve increased transmission rate by dividing the input stream into a multitude of …
channel achieve increased transmission rate by dividing the input stream into a multitude of …
Multiuser MIMO-OFDM for next-generation wireless systems
M Jiang, L Hanzo - Proceedings of the IEEE, 2007 - ieeexplore.ieee.org
This overview portrays the evolution of orthogonal frequency division multiplexing (OFDM)
research. The amelioration of powerful multicarrier OFDM arrangements with multiple-input …
research. The amelioration of powerful multicarrier OFDM arrangements with multiple-input …
MIMO transceiver design via majorization theory
Multiple-input multiple-output (MIMO) channels provide an abstract and unified
representation of different physical communication systems, ranging from multi-antenna …
representation of different physical communication systems, ranging from multi-antenna …
Globally optimal linear precoders for finite alphabet signals over complex vector Gaussian channels
We study the design optimization of linear precoders for maximizing the mutual information
between finite alphabet input and the corresponding output over complex-valued vector …
between finite alphabet input and the corresponding output over complex-valued vector …
Uniform channel decomposition for MIMO communications
Assuming the availability of the channel state information at the transmitter (CSIT) and
receiver (CSIR), we consider the joint optimal transceiver design for multi-input multi-output …
receiver (CSIR), we consider the joint optimal transceiver design for multi-input multi-output …
A survey on MIMO transmission with finite input signals: Technical challenges, advances, and future trends
Multiple antennas have played an essential role in spatial multiplexing and diversity
transmission for a wide range of communication applications. Most advances in the design …
transmission for a wide range of communication applications. Most advances in the design …
Matrix-Monotonic Optimization Part I: Single-Variable Optimization
Matrix-monotonic optimization exploits the monotonic nature of positive semi-definite
matrices to derive optimal diagonalizable structures for the matrix variables of matrix …
matrices to derive optimal diagonalizable structures for the matrix variables of matrix …
Geometric mean decomposition based hybrid precoding for millimeter-wave massive MIMO
Hybrid precoding can reduce the number of required radio frequency (RF) chains in
millimeter-Wave (mmWave) massive MIMO systems. However, existing hybrid pre-coding …
millimeter-Wave (mmWave) massive MIMO systems. However, existing hybrid pre-coding …
Robust multibranch Tomlinson–Harashima precoding design in amplify-and-forward MIMO relay systems
This paper proposes the design of robust transceivers with Tomlinson–Harashima
precoding (THP) for multiple-input–multiple-output relay systems with amplify-and-forward …
precoding (THP) for multiple-input–multiple-output relay systems with amplify-and-forward …
The generalized triangular decomposition
Given a complex matrix $\mathbf {H} $, we consider the decomposition $\mathbf {H}=\mathbf
{QRP}^* $, where $\mathbf {R} $ is upper triangular and $\mathbf {Q} $ and $\mathbf {P} …
{QRP}^* $, where $\mathbf {R} $ is upper triangular and $\mathbf {Q} $ and $\mathbf {P} …