NDLI: Asymptotic Performance Analysis and Successive Selected Mapping for PAR Reduction in OFDM

Content Provider	IEEE Xplore Digital Library
Author	Siegl, C. Fischer, R.
Copyright Year	1991
Abstract	One major drawback of orthogonal frequency-division multiplexing (OFDM) systems is the high peak-to-average power ratio (PAR) of the transmit signal. In order to overcome this problem, selected mapping (SLM) is a well known method for PAR reduction. In this paper, asymptotic performance analysis of SLM is carried out and a bound on the maximum tolerable PAR values is derived. Starting with the analysis of Gaussian signalling at Nyquist rate, it is also shown that these theoretic results can be applied for QAM signalling at any oversampling rate. Based on the idea to distinguish between tolerable and nontolerable PAR values a novel variant of SLM is derived, namely successive SLM (SSLM). With this approach it is possible to significantly decrease the average number of assessed signal candidates and the average number of required side-information bits per OFDM frame as long as the threshold of tolerable PAR values is larger than the critical PAR ( for Nyquist sampled signals). As a rule of thumb, less than 2.71 (Euler's number) candidates and less than 2.57 bits of side-information are required on average.
Sponsorship	IEEE Signal Processing Society
Starting Page	3228
Ending Page	3237
Page Count	10
File Size	1478310
File Format	PDF
ISSN	1053587X
Volume Number	58
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis OFDM Peak to average power ratio Redundancy Signal mapping Quadrature amplitude modulation Time domain analysis Frequency division multiplexing Signal analysis Thumb selected mapping PAR reduction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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