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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Bibliographic Details
Published in:IEEE communications letters 2014-08, Vol.18 (8), p.1363-1366
Main Authors: Cha, Hyunsu, Chae, Hyukjin, Kim, Kiyeon, Jang, Jinyoung, Yang, Janghoon, Kim, Dong Ku
Format: Article
Language:English
Subjects:
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
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Summary: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2014.2328177