Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
Matrix analysis
Topics in matrix analysis
System identification
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Elements of information theory
Elements of information theory
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Lagrange multipliers and optimality
SIAM Review
SIAM Review
SIAM Review
Understanding digital subscriber line technology
Understanding digital subscriber line technology
Unitary Triangularization of a Nonsymmetric Matrix
Journal of the ACM (JACM)
A Fast Recursive Algorithm for Constructing Matrices with Prescribed Eigenvalues and Singular Values
SIAM Journal on Numerical Analysis
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Multiuser Detection
Optimization by Vector Space Methods
Optimization by Vector Space Methods
Principles of Digital Transmission: With Wireless Applications
Principles of Digital Transmission: With Wireless Applications
Array Signal Processing: Concepts and Techniques
Array Signal Processing: Concepts and Techniques
Information Theory and Reliable Communication
Information Theory and Reliable Communication
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Space-Time Block Coding for Wireless Communications
Space-Time Block Coding for Wireless Communications
Convex Optimization
Wireless Communications
Fundamentals of wireless communication
Fundamentals of wireless communication
Geometric programming for communication systems
Communications and Information Theory
QoS-based resource allocation and transceiver optimization
Communications and Information Theory
Coding for Wireless Channels (Information Technology: Transmission, Processing and Storage)
Coding for Wireless Channels (Information Technology: Transmission, Processing and Storage)
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Convex Approximations of Chance Constrained Programs
SIAM Journal on Optimization
Joint transceiver design for MIMO communications using geometric mean decomposition
IEEE Transactions on Signal Processing - Part I
Convex primal decomposition for multicarrier linear MIMO transceivers
IEEE Transactions on Signal Processing
Practical algorithms for a family of waterfilling solutions
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimum linear joint transmit-receive processing for MIMO channels with QoS constraints
IEEE Transactions on Signal Processing
Tunable Channel Decomposition for MIMO Communications Using Channel State Information
IEEE Transactions on Signal Processing
Redundant filterbank precoders and equalizers. I. Unification andoptimal designs
IEEE Transactions on Signal Processing
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
Transceiver optimization for block-based multiple access through ISI channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Design of block transceivers with decision feedback detection
IEEE Transactions on Signal Processing
Antenna array pattern synthesis via convex optimization
IEEE Transactions on Signal Processing
Optimal designs for space-time linear precoders and decoders
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Minimum BER block precoders for zero-forcing equalization
IEEE Transactions on Signal Processing
Minimum BER linear transceivers for MIMO channels via primal decomposition
IEEE Transactions on Signal Processing - Part I
Second-order analysis of improper complex random vectors and processes
IEEE Transactions on Signal Processing
Uniform channel decomposition for MIMO communications
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Widely linear estimation with complex data
IEEE Transactions on Signal Processing
Optimal minimum distance-based precoder for MIMO spatial multiplexing systems
IEEE Transactions on Signal Processing
Transceiver optimization for multiuser MIMO systems
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
The intersymbol interference channel: lower bounds on capacity and channel precoding loss
IEEE Transactions on Information Theory
Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
The art of signaling: fifty years of coding theory
IEEE Transactions on Information Theory
A universal lattice code decoder for fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Optimal sequences and sum capacity of synchronous CDMA systems
IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
Combining beamforming and orthogonal space-time block coding
IEEE Transactions on Information Theory
Optimal sequences for CDMA under colored noise: a Schur-saddle function property
IEEE Transactions on Information Theory
The Gaussian watermarking game
IEEE Transactions on Information Theory
Optimal sequences for CDMA with decision-feedback receivers
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
On maximum-likelihood detection and the search for the closest lattice point
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
Lattice coding and decoding achieve the optimal diversity-multiplexing tradeoff of MIMO channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A close-to-capacity dirty paper coding scheme
IEEE Transactions on Information Theory
Capacity and lattice strategies for canceling known interference
IEEE Transactions on Information Theory
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
IEEE Transactions on Information Theory
Explicit Space–Time Codes Achieving the Diversity–Multiplexing Gain Tradeoff
IEEE Transactions on Information Theory
Perfect Space–Time Block Codes
IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Array gain and capacity for known random channels with multiple element arrays at both ends
IEEE Journal on Selected Areas in Communications
Vectored transmission for digital subscriber line systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Majorization and matrix-monotone functions in wireless communications
Foundations and Trends in Communications and Information Theory
Robust transceiver optimization in downlink multiuser MIMO systems
IEEE Transactions on Signal Processing
Capacity bounds for MIMO Nakagami-m fading channels
IEEE Transactions on Signal Processing
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
Robust QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
Design of close to optimal Euclidean distance MIMO-precoders
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Linear precoding for mutual information maximization in MIMO systems
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Joint bit allocation and precoding for MIMO systems with decision feedback detection
IEEE Transactions on Signal Processing
Generalized triangular decomposition in transform coding
IEEE Transactions on Signal Processing
MIMO transceivers with decision feedback and bit loading: theory and optimization
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Minimum distance based precoder for MIMO-OFDM systems using a 16-QAM modulation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Generalized triangular transform coding
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
MIMO radar waveform design in colored noise based on information theory
IEEE Transactions on Signal Processing
A general criterion for analog Tx-Rx beamforming under OFDM transmissions
IEEE Transactions on Signal Processing
Zero-forcing DFE transceiver design over slowly time-varying MIMO channels using ST-GTD
IEEE Transactions on Signal Processing
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
On the robustness of transmit beamforming
IEEE Transactions on Signal Processing
Statistical precoding with decision feedback equalization over a correlated MIMO channel
IEEE Transactions on Signal Processing
The geometry of fusion inspired channel design
Signal Processing
Hi-index | 0.11 |
Multiple-input multiple-output (MIMO) channels provide an abstract and unified representation of different physical communication systems, ranging from multi-antenna wireless channels to wireless digital subscriber line systems. They have the key property that several data streams can be simultaneously established. In general, the design of communication systems for MIMO channels is quite involved (if one can assume the use of sufficiently long and good codes, then the problem formulation simplifies drastically). The first difficulty lies on how to measure the global performance of such systems given the tradeoff on the performance among the different data streams. Once the problem formulation is defined, the resulting mathematical problem is typically too complicated to be optimally solved as it is a matrix-valued nonconvex optimization problem. This design problem has been studied for the past three decades (the first papers dating back to the 1970s) motivated initially by cable systems and more recently by wireless multi-antenna systems. The approach was to choose a specific global measure of performance and then to design the system accordingly, either optimally or suboptimally, depending on the difficulty of the problem. This text presents an up-to-date unified mathematical framework for the design of point-to-point MIMO transceivers with channel state information at both sides of the link according to an arbitrary cost function as a measure of the system performance. In addition, the framework embraces the design of systems with given individual performance on the data streams. Majorization theory is the underlying mathematical theory on which the framework hinges. It allows the transformation of the originally complicated matrix-valued nonconvex problem into a simple scalar problem. In particular, the additive majorization relation plays a key role in the design of linear MIMO transceivers (i.e., a linear precoder at the transmitter and a linear equalizer at the receiver), whereas the multiplicative majorization relation is the basis for nonlinear decision-feedback MIMO transceivers (i.e., a linear precoder at the transmitter and a decision-feedback equalizer at the receiver).