PAPR and out-of-band power reduction in OFDM-based cognitive radios

P. Raghava Lasya, M. Sathish Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

One of the interesting features of cognitive radio (CR) systems is their ability to provide dynamic spectrum access even in the licensed spectral bands; wherein they should be strictly causing no interference to the licensed users or among themselves. Orthogonal frequency-division multiplexing (OFDM) is considered for CR user transmission because of its flexible operation in frequency band switching; but suffers from high peak-to-average power ratio (PAPR). Hence, a transmission method where it can cause minimum interference with lower PAPR is obtained. In this paper, a better method to reduce out-of-band (OOB) power as well as PAPR is modeled by combining spectral precoding which aims at OOB radiation suppression; and PAPR reduction techniques such as selected mapping (SLM) technique and iterative clipping and filtering (ICF). The performance of these methods are discussed in terms of power spectral densities (PSD) and complementary cumulative distribution function (CCDF) of PAPR.

Original languageEnglish
Title of host publicationInternational Conference on Signal Processing and Communication Engineering Systems - Proceedings of SPACES 2015, in Association with IEEE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages473-476
Number of pages4
ISBN (Electronic)9781479961085
DOIs
Publication statusPublished - 10-03-2015
Event4th International Conference on Signal Processing and Communication Engineering Systems, SPACES 2015 - In Association with IEEE - Andhra Pradesh, India
Duration: 02-01-201503-01-2015

Conference

Conference4th International Conference on Signal Processing and Communication Engineering Systems, SPACES 2015 - In Association with IEEE
Country/TerritoryIndia
CityAndhra Pradesh
Period02-01-1503-01-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Signal Processing

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