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A Low-Complexity Model for Discrete Fourier Transform Spread OFDM
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The growing demand for high-speed and efficient wireless communication systems has led to the development of advanced modulation techniques like DFT-s-OFDM, particularly for uplink scenarios in 5G networks. This study investigates DFT-s-OFDM as an effective technique for reducing Peak-to-Average Power Ratio (PAPR) with lower complexity, making it well-suited for high-speed wireless communication systems. Through a systematic literature review (SLR), the study identified the most suitable subcarrier mapping method (localized and distributed ) for further optimization. The proposed FFT-less DFT-s-OFDM model was developed to achieve additional complexity reduction in DFT-s-OFDM. A comparative analysis was then conducted to evaluate the performance of the proposed model against the standard DFT-s-OFDM model using key metrics such as PAPR, Error Vector Magnitude (EVM), and Power Spectral Density (PSD). 

Place, publisher, year, edition, pages
2024. , p. 53
Keywords [en]
Distributed DFT-s-OFDM, localised DFT-s-OFDM, OFDM, PAPR, EVM, Computational Cmplexity
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-27453OAI: oai:DiVA.org:bth-27453DiVA, id: diva2:1957075
External cooperation
Ericsson AB
Subject / course
ET2606 Masterarbete i elektroteknik med inriktning mot telekommunikationssystem 30,0 hp
Educational program
ETADT Plan för kvalifikation till masterexamen inom elektroteknik med inr mot telekommunikationssystem 120,0 hp
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Examiners
Available from: 2025-05-26 Created: 2025-05-08 Last updated: 2025-09-30Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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More languages
Output format
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