Generalized Inverse Aided PAPR-Aware Linear Precoder Design for MIMO-OFDM System

We propose a linear precoding scheme for a single user multiple-input-multiple-output orthogonal frequency division multiplexing (OFDM) system to minimize peak to average power ratio (PAPR) by using redundant spatial resources at the transmitter through a singular-value-decomposition-based generaliz...

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Veröffentlicht in:IEEE communications letters Jg. 18; H. 8; S. 1363 - 1366
Hauptverfasser: Cha, Hyunsu, Chae, Hyukjin, Kim, Kiyeon, Jang, Jinyoung, Yang, Janghoon, Kim, Dong Ku
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.08.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Antennas
Applied sciences
Coding, codes
Exact sciences and technology
Information, signal and communications theory
MIMO
Multiplexing
Peak to average power ratio
Power demand
Radiocommunications
Signal and communications theory
Signal to noise ratio
Telecommunications
Telecommunications and information theory
Transmitters. Receivers
Transmitting antennas
Vectors
PAR
OFDM
PAPR
SU-MIMO
convex optimization
MIMO
precoding
MIMO system
Coding circuit
Peak to average power ratio
Transmitter
Convex programming
Simulation
Coding
Orthogonal frequency division multiplexing
Pretreatment
Cost lowering
Antenna
Singular value decomposition
Signal to noise ratio
ISSN:1089-7798, 1558-2558
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Beschreibung
Zusammenfassung:We propose a linear precoding scheme for a single user multiple-input-multiple-output orthogonal frequency division multiplexing (OFDM) system to minimize peak to average power ratio (PAPR) by using redundant spatial resources at the transmitter through a singular-value-decomposition-based generalized inverse. The proposed precoder based on the generalized inverse is composed of two parts. One is for minimizing PAPR, and the other is for obtaining the multiplexing gain. Moreover, the proposed precoder contains a scalar parameter α that quantifies the received signal-to-noise power ratio (SNR) loss at the cost of PAPR reduction. Even in cases of small SNR loss, the proposed scheme dramatically reduces PAPR. Furthermore, simulation results show that we can obtain a PAPR close to 1 by using dozens of transmission antennas with small SNR loss.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2014.2328177