Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion

By Hemanth Sampath, P. Stoica, Arogyaswami Paulraj. IEEE Transactions on Communications, 2001

911 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4c2252667c3e71662c914772b817cde64ac01223

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

Citations in the corpus

Generalized Design of Multi-User MIMO Precoding Matrices (2008, methodology): “THP is strongly related to DPC, and it represents a suboptimal implementation of DPC. Generalized designs of a jointly optimum linear precoder and decoder for a single user (SU) MIMO system, using a mean-squared error (MSE) criterion are given in [10] and [11].”
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels (2007, background): “, for the single user case in [1], [2], [3].”
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, methodology): “Similarly, when precoding/beamforming techniques [84], [580]–[586] are employed in SDM-MIMO systems, the interference between the transmit antennas may be significantly mitigated or even completely removed (when using ZF-based linear precoding).”
MIMO Wireless Linear Precoding (2007, methodology): “For example, with perfect CSIT at low SNRs, only the strongest eigen-mode of the channel is used.”
Limited feedback unitary precoding for spatial multiplexing systems (2005, background): “Precoding has been proposed based on knowledge of the full channel state information at the transmitter [3], [4], first-order statistics [5], [6], or secondorder statistics of the channel [7]–[11].”
Practical algorithms for a family of waterfilling solutions (2005, methodology): “In [11], a similar algorithm was also derived for the minimization of the weighted sum of the MSEs of the subchannels.”
Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization (2003, background): “Examples are the minimization of the (weighted) sum of the MSEs of all channel spatial substreams [13], [3], [14], the minimization of the determinant of the MSE matrix [15], and the maximization of the mutual information [6], [2], [7].”
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design (2008, methodology): “This is a similar argument as used for the ﬁ lter structure in the Single User Multiple Input Multiple Output (SU-MIMO) case [14, Appendix B].”
Optimal designs for space-time linear precoders and decoders (2002, methodology): “A weighted MMSE linear design for space-time linear precoding is provided in [ 35 ].”
Multiple-antenna techniques for wireless communications - a comprehensive literature survey (2009, methodology): “Generalized transmit beamforming techniques using (possibly imperfect) full instantaneous channel knowledge at the transmitter side were, for example, considered in [7], [142], [143], [146].”
From theory to practice: an overview of MIMO space-time coded wireless systems (2003, background): “Schemes that exploit CSIT to directly minimize BER-related metrics are therefore of interest, examples of which are found in [107], [108].”
Joint transceiver design for MIMO communications using geometric mean decomposition (2005, methodology): “The MTM scheme, or ARITH-MSE, which has appeared in several linear transceiver design papers (see, e.g., [15], [16], and [19]), attempts to minimize Tr with respect to .”
Transceiver optimization for multiuser MIMO systems (2004, background): “In such cases, designing the appropriate precoding strategy has been studied under a variety of system objectives [5], [7], [12], [13].”