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Hardware simulation for exponential blind equal throughput algorithm using system generator

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 1 (2019)

DOI
10.11591/ijece.v9i1.pp170-180
ISSN
2088-8708, 2088-8708
Published
2019-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Scheduling mechanism is the process of allocating radio resources to User Equipment (UE) that transmits different flows at the same time. It is performed by the scheduling algorithm implemented in the Long Term Evolution base station, Evolved Node B. Normally, most of the proposed algorithms are not focusing on handling the real-time and non-real-time traffics simultaneously. Thus, UE with bad channel quality may starve due to no resources allocated for quite a long time. To solve the problems, Exponential Blind Equal Throughput (EXP-BET) algorithm is proposed. User with the highest priority metrics is allocated the resources firstly which is calculated using the EXP-BET metric equation. This study investigates the implementation of the EXP-BET scheduling algorithm on the FPGA platform. The metric equation of the EXP-BET is modelled and simulated using System Generator. This design has utilized only 10% of available resources on FPGA. Fixed numbers are used for all the input to the scheduler. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm. The output from the hardware co-simulation showed that the metric values of EXP-BET produce similar results to the Simulink environment. Thus, the algorithm is ready for prototyping and Virtex-6 FPGA is chosen as the platform.

Collaboration network of the authors

28 authors · 66 co-authorship links · 19 across different organisations

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  • Universiti Teknologi MARA
  • Universiti Teknikal Malaysia Melaka
  • National Defence University of Malaysia
  • Malaysian Nuclear Agency
  • Sultan Zainal Abidin University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Azita Laily YusofUniversiti Teknologi MARA4
Noraisyah TajudinUniversiti Teknologi MARA4
Nor Aizam AdnanUniversiti Teknologi MARA4
Murizah Binti KassimUniversiti Teknologi MARA3
Shafinaz IsmailUniversiti Teknikal Malaysia Melaka2
Nani Fadzlina NaimUniversiti Teknologi MARA2
Suzi Seroja SarninUniversiti Teknologi MARA2
Latifah Sarah SupianNational Defence University of Malaysia2
Ahmad Azhari Mohamad NorUniversiti Teknologi MARA2
Mohd Sabri MinhatMalaysian Nuclear Agency2
Mohd Danial RozainiUniversiti Teknologi MARA1
Azlina IdrisUniversiti Teknologi MARA1
Ezmin AbdullahUniversiti Teknologi MARA1
Ainnur Eiza AzharUniversiti Teknologi MARA1
Siti Noor Maslizan SudinUniversiti Teknologi MARA1
Farid Hazwan AzmiUniversiti Teknologi MARA1
Aliya Syahira Mohd AnuarUniversiti Teknologi MARA1
Wan Norsyafizan W. MuhamadUniversiti Teknologi MARA1
Nik Nur Shaadah Nik DzulkefliUniversiti Teknologi MARA1
Mohd Azri Abdul AzizUniversiti Teknologi MARA1
Roslan UmarSultan Zainal Abidin University1
Wan Haszerila Wan HassanUniversiti Teknikal Malaysia Melaka1
Juwita Mohd SultanUniversiti Teknikal Malaysia Melaka1
Shajahan MaidinUniversiti Teknikal Malaysia Melaka1
Mohd Kamarulnizam Abdul RahimAffiliation 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
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Hardware simulation for exponential blind equal throughput algorithm using system generator</dc:title><dc:creator>Yusuf, Yusmardiah</dc:creator><dc:creator>Ali, Darmawaty Mohd</dc:creator><dc:creator>Ya’acob, Norsuzila</dc:creator><dc:description>&lt;jats:p&gt;Scheduling mechanism is the process of allocating radio resources to User Equipment (UE) that transmits different flows at the same time. It is performed by the scheduling algorithm implemented in the Long Term Evolution base station, Evolved Node B. Normally, most of the proposed algorithms are not focusing on handling the real-time and non-real-time traffics simultaneously. Thus, UE with bad channel quality may starve due to no resources allocated for quite a long time. To solve the problems, Exponential Blind Equal Throughput (EXP-BET) algorithm is proposed. User with the highest priority metrics is allocated the resources firstly which is calculated using the EXP-BET metric equation. This study investigates the implementation of the EXP-BET scheduling algorithm on the FPGA platform. The metric equation of the EXP-BET is modelled and simulated using System Generator. This design has utilized only 10% of available resources on FPGA. Fixed numbers are used for all the input to the scheduler. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm. The output from the hardware co-simulation showed that the metric values of EXP-BET produce similar results to the Simulink environment.  Thus, the algorithm is ready for prototyping and Virtex-6 FPGA is chosen as the platform.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i1.pp170-180</dc:identifier><dc:identifier>10.11591/ijece.v9i1.pp170-180</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 1 (2019); 170</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/10464/11045</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>