On reducing the complexity of tone-reservation based PAPR reduction schemes by compressive sensing

Eprahim B. Al-Safadi, Tareq Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

In this paper, we describe a novel design of a Peak-to-Average-Power-Ratio (PAPR) reducing system, which exploits the relative temporal sparsity of Orthogonal Frequency Division Multiplexed (OFDM) signals to detect the positions and amplitudes of clipped peaks, by partial observation of their frequency content at the receiver. This approach uses recent advances in reconstruction of sparse signals from rank-deficient projections using convex programming collectively known as compressive sensing. Since previous work in the literature has focused on using the reserved tones as spectral support for optimum peak-reducing signals in the time-domain [5], the complexity at the transmitter was always a problem. In this work, we alternatively use extremely simple peak-reducing signals at the transmitter, then use the reserved tones to detect the peak-reducing signal at the receiver by a convex relaxation of an other-wise combinatorially prohibitive optimization problem. This in effect completely shifts the complexity to the receiver and drastically reduces it from a function of N (the number of subcarriers in the OFDM signal), to a function of ℳ (the number of reserved tones) which is a small subset of N.

Original languageEnglish (US)
Title of host publicationGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States
Duration: Nov 30 2009Dec 4 2009

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
CountryUnited States
CityHonolulu, HI
Period11/30/0912/4/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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