A PAPR Reduction and Data Decoding for SLM based OFDM Systems Without SI

Saheed Adegbite, Scott McMeekin, Brian Stewart

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

Abstract

Selected mapping (SLM) is an effective method for addressing high peak-to-average power ratio (PAPR) issues in orthogonal frequency division multiplexing (OFDM) systems. However, the standard SLM approach introduces additional data decoding challenges in the form of side information (SI) transmission and estimation. In general, SI transmission reduces data throughput and SI estimation normally involves computationally complex procedures, which increase design costs. To eliminate the need for both SI transmission and SI estimation, this paper presents an investigation into the PAPR reduction and BER performance of a new technique based on a modified SLM approach. It is shown that the proposed method simplifies data decoding through SI cancellation without SI transmission. Results show that the proposed method produces similar PAPR reduction performance and BER performance as standard SLM based OFDM system, which presumes perfect SI estimation, within a frequency non-selective (flat) fading channel.
Original languageEnglish
Title of host publicationProceedings of the 81st IEEE Vehicular Technology Conference (VTC Spring 15)
PublisherIEEE
Pages1-5
Number of pages6
ISBN (Print)9781479980888
DOIs
Publication statusPublished - 1 Jul 2015

Keywords

  • orthogonal frequency division multiplexing
  • selected mapping
  • side information
  • peak-to-average power ratio

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