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Adaptive quantization for spectrum exchange information in mobile cognitive radio networks

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 4 (2020)

DOI
10.11591/ijece.v10i4.pp3605-3614
ISSN
2722-2578, 2088-8708
Published
2020-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

To reduce the detection failure of the exchanging signal power onto the OFDM subcarrier signal at uniform quantization, dynamic subcarrier mapping is applied. Moreover, to addressing low SNR’s wall-less than pre-determine threshold, non-uniform quantization or adaptive quantization for the signal quantization size parameter is proposed. μ-law is adopted for adaptive quantization subcarrier mapping which is deployed in mobility environment, such as Doppler Effect and Rayleigh Fading propagation. In this works, sensing node received signal power then sampled into a different polarity positive and negative in μ-law quantization and divided into several segmentation levels. Each segmentation levels are divided into several sub-segment has representing one tone signal subcarrier number OFDM which has the number of quantization level and the width power. The results show that by using both methods, a significant difference is obtained around 8 dB compared to those not using the adaptive method.

Collaboration network of the authors

24 authors · 71 co-authorship links · 41 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Technology Malaysia
  • Sultan Agung Islamic University
  • Diponegoro University
  • Jakarta Global University
  • Jenderal Soedirman University
  • Bandung Institute of Technology
  • IPB University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rosyid Ridlo Al-HakimIPB University1
Yanuar Zulardiansyah AriefUniversity of Technology Malaysia1
Agung PangestuJakarta Global University1
Hexa Apriliana HidayahJenderal Soedirman University1
Glagah E. SetyowisnuBandung Institute of Technology1
Prihantini PrihantiniBandung Institute of Technology1
Antonius Darma SetiawanJakarta Global University1
Esa Rinjani Cantika PutriJenderal Soedirman University1
Jasmy YunusUniversity of Technology Malaysia1
Muhammad HaddinAffiliation unknown1
Agus SuprajitnoSultan Agung Islamic University1
Munaf IsmailSultan Agung Islamic University1
Iwan SetiawanDiponegoro University1
Sukarno Budi UtomoDiponegoro University1
Berkah FajarDiponegoro University1
Sonny Hady WinotoAffiliation unknown1
Nurzal Effiyana GhazaliUniversity of Technology Malaysia1
Sharifah H. S. AriffinUniversity of Technology Malaysia1
Mohamed Khalafalla HassanUniversity of Technology Malaysia1
Mohammed E. A. KanonaThe Future University1
Mohamed RavaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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