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Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems
Joint Authors
Source
Journal of Computer Networks and Communications
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
A high peak-to-average power ratio (PAPR) is one of the major drawbacks to using orthogonal frequency division multiplexing (OFDM) modulation.
The three most effective distortionless techniques for PAPR reduction are partial transmit sequence (PTS), selective mapping (SLM), and tone reservation (TR).
However, the high computational complexity due to the inverse discrete Fourier transform (IDFT) is a problem with these approaches.
Implementation of these techniques typically employ direct computation of the IDFT, which is not the most efficient solution.
In this paper, we consider the development and performance analysis of these distortionless techniques in conjunction with low-complexity IFFT algorithms to reduce the PAPR of the OFDM signal.
Recently, proposed IFFT-based techniques are shown to substantially reduce the computational complexity and improve PAPR performance.
American Psychological Association (APA)
Ghassemi, A.& Gulliver, T. A.. 2012. Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems. Journal of Computer Networks and Communications،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-509012
Modern Language Association (MLA)
Ghassemi, A.& Gulliver, T. A.. Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems. Journal of Computer Networks and Communications No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-509012
American Medical Association (AMA)
Ghassemi, A.& Gulliver, T. A.. Low-Complexity Distortionless Techniques for Peak Power Reduction in OFDM Communication Systems. Journal of Computer Networks and Communications. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-509012
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509012