Design of Robust Transceiver for Precoded Uplink MU-MIMO Transmission in Limited Feedback System

This paper proposes a robust transceiver design against the effect of channel state information (CSI) estimation error to optimize precoded uplink (UL) multi-user multiple-input multiple-output (MU-MIMO) transmission in limited feedback system under the consideration of the least-square technique on...

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Vydáno v:Wireless personal communications Ročník 77; číslo 2; s. 857 - 879
Hlavní autor: Pan, Chien-Hung
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.07.2014
Springer
Témata:
Applied sciences
Coding, codes
Communications Engineering
Computer Communication Networks
Design engineering
Design factors
Engineering
Errors
Exact sciences and technology
Feedback
Information, signal and communications theory
Networks
Optimization
Quadratic forms
Radiocommunications
Signal and communications theory
Signal,Image and Speech Processing
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teletraffic
Transceivers
Uplinking
Multi-user multiple-input multiple-output
Minimum variance
Least-square
Performance evaluation
MIMO system
Multiple access
Estimation error
Computer simulation
Spatial multiplexing
Adaptive method
Optimization
Variance
Transceiver
Lagrange multiplier
Precoding
Diagonal matrix
Least squares method
Channel estimation
Wireless network
Quadratic form
Signal to interference plus noise ratio
Deterministic approach
Uplink
Mathematical programming
ISSN:0929-6212, 1572-834X
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Shrnutí:This paper proposes a robust transceiver design against the effect of channel state information (CSI) estimation error to optimize precoded uplink (UL) multi-user multiple-input multiple-output (MU-MIMO) transmission in limited feedback system under the consideration of the least-square technique on CSI estimation. To improve this limited feedback precoding, the constrained minimum variance (MV) approach with quadratic form to realize the computationally-efficient optimization problem, advantageously invoking the characteristics of the CSI estimation error, is proposed to suppress the effect of CSI estimation error, multiple user interference and noise. According to the Lagrange multiplier method on this MV approach, the deterministic function to resist uncertain CSI can be obtained to optimize design of the precoder and adaptive matrices jointly. With these optimum adaptive and precoder matrices, an optimum robust weighting matrix can be obtained to facilitate the user-wise detection in precoded UL MU-MIMO system. Performance analysis shows that the proposed robust weighting matrix is an unbiased design and it also can regularize the diagonal loading factor technique, and the detection performance of the proposed robust transceiver design can be predicted simplistically by applying our derived signal-to-interference-plus-noise ratio formulation. Computer simulations are conducted to confirm the efficacy of the proposed design in both perfect and imperfect CSI estimation.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-013-1540-y