Experimentation with Prolate Spheroidal Wave Function Pulses for Physical-Layer Security

Tyan Lin Wang, Ivan B. Djordjevic

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

2 Scopus citations

Abstract

Prolate spheroidal wave functions (PSWF) are a temporally orthogonal set of waveforms in which energy is concentrated in a finite time window and finite bandwidth. In wireless communications, where binary information is encoded onto a sequence of pulses, individual symbols can conceivably be represented by different orders of PSWF pulse shapes for transmission. Because these pulses have approximately constant bandwidth and pulsewidth across all orders, they are an interesting alternative to conventional modulation formats. Although they are certainly capable of improving spectral efficiency and data capacity, in this study we investigate their feasibility in achieving physical-layer security in wireless RF transmissions.

Original languageEnglish (US)
Title of host publication2019 14th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2019 - Proceedings
EditorsBratislav D. Milovanovic, Nebojsa S. Doncov, Zoran Z. Stankovic, Tijana Z. Dimitrijevic, Biljana Stosic
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages174-177
Number of pages4
ISBN (Electronic)9781728108780
DOIs
StatePublished - Oct 2019
Event14th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2019 - Nis, Serbia
Duration: Oct 23 2019Oct 25 2019

Publication series

Name2019 14th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2019 - Proceedings

Conference

Conference14th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2019
Country/TerritorySerbia
CityNis
Period10/23/1910/25/19

Keywords

  • Physical-layer security
  • Pulse shape modulation
  • Wireless communications

ASJC Scopus subject areas

  • Computational Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Electrical and Electronic Engineering

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