Design of Optimal Linear Precoder and Decoder for MIMO Channels with Per Antenna Power Constraint and Imperfect CSI

This paper addresses the problem of designing joint optimum precoder and decoder for multiple-input multiple-output communication system. Conventionally, most of the joint precoder and decoder designs are based on the sum power constraint (SPC) at the transmitter and perfect channel state informatio...

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Vydané v:Wireless personal communications Ročník 75; číslo 2; s. 1251 - 1263
Hlavní autori: Merline, A., Thiruvengadam, S. J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Boston Springer US 01.03.2014
Springer
Predmet:
Antennas
Applied sciences
Channels
Communication systems
Communications Engineering
Computer Communication Networks
Decoders
Design engineering
Engineering
Exact sciences and technology
Networks
Optimization
Radiocommunications
Signal,Image and Speech Processing
Simulation
Statistical process control
Telecommunications
Telecommunications and information theory
Per antenna power constraint
Imperfect CSI
MIMO
Precoder
MSE
MIMO system
Transmission channel
Decoding circuit
Optimization
Mean square error
Precoding
Channel estimation
Linearity
Defect
Wireless network
Objective function
Power amplifier
Antenna
Mathematical programming
ISSN:0929-6212, 1572-834X
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Popis
Shrnutí:This paper addresses the problem of designing joint optimum precoder and decoder for multiple-input multiple-output communication system. Conventionally, most of the joint precoder and decoder designs are based on the sum power constraint (SPC) at the transmitter and perfect channel state information (CSI). However, in practice, per-antenna power constraint is more realistic as the power at each transmit antenna is limited individually by the linearity of the power amplifier. Further, the estimate of CSI cannot be obtained perfectly by any methods. Under imperfect CSI, the aim is to design jointly optimum precoder and decoder subject to a power constraint that jointly meets both per-antenna and SPCs. The objective function is formulated into an optimization problem that minimizes the mean square error in estimating the transmitted signal. The simulation results show that the proposed scheme has a near-optimum performance under practical constraints.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-013-1421-4