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  1. 1

    Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E by Oad, Aneel

    Published 2013
    “…The simulation results indicate that legacy algorithms are not suitable for the multi-class traffic systems of WiMAX. …”
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    Thesis
  2. 2

    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…We simulate our proposed algorithms using a Java based simulator that is purposedly built for Grid computing simulations. …”
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    Thesis
  3. 3

    Max-average: an extended max-min scheduling algorithm for Grid computing environtment by Maipan-uku, J. Y., Muhammed, Abdullah, Abdullah, Azizol, Hussin, Masnida

    Published 2016
    “…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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    Article
  4. 4

    Adaptive beamforming with 16 element linear array using MaxSIR and MMSE algorithms by Islam, Md. Rafiqul, Hafriz, Fahmy, Norfauzi, Muhammad

    Published 2007
    “…Both algorithms were calculated and simulated using Matlab as well as Zeland’s IE3D software. …”
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    Proceeding Paper
  5. 5

    Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

    Published 2015
    “…Simulation have been extensively used to evaluate the proposed algorithm. …”
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    Thesis
  6. 6

    Simulation model to improve QoS performance over fixed WiMAX using OPNET by Lawal, I.A., Md Said, A., Mu'azu, A.A.

    Published 2013
    “…A Model was developed based on the proposed new distributed model (Master-Slave), the first scenario comprised of 3 Base Stations (BS) and thirty Subscriber Station (SS) with one Master BS selected by the designed algorithm (Nearest Neighborhood Algorithms). Simulations run while increasing the number of BSs, SSs and master BSs using point-to-multipoint connection with multicast transmission based on Orthogonal Frequency Division Multiplexing (OFDM). …”
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    Article
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    Fuzzy Logic Based Self-Adaptive Handover Algorithm for MobileWiMAX. by Mohd Ali, Borhanuddin, Ismail, Alyani, Noordin, Nor Kamariah, Ben-Mubarak, Mohammed A., Ng , Ben Chee Kyun

    Published 2013
    “…The conventional handover decision algorithm in mobile WiMAX is based on a single criterion, which usually uses the received signal strength indicator (RSSI) as an indicator, with the other fixed handover parameters such as handover threshold and handover margin. …”
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    Article
  9. 9

    Maximum 2-satisfiability in radial basis function neural network by Shehab Abdulhabib Alzaeemi, Saratha Sathasivam, Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor

    Published 2020
    “…The simulated results suggest that the proposed algorithm is effective in doing MAX2SAT logic programming by analysing the performance by obtaining lower Root Mean Square Error, high ratio of satisfied clauses and lesser CPU time.…”
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    Article
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    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

    Published 2013
    “…For real-time applications, simulation results show that RFuzSAHO decision algorithm enhances the VoIP quality (Mean Opinion Score, MOS) up to 5.4% compared to FuzSAHO algorithm when the MS velocity is 20m/s.…”
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    Thesis
  13. 13

    A new WDM Application Response Time in WLAN Network and Fixed WiMAX using Distributed by Nisar, K., Lawal, I.A., Abualsaud, K., El-Fouly, T.M.

    Published 2014
    “…The new distributed Client-Server model was simulated in OPNET modeler 16.0 with multiple Base Stations (BSs), Subscribers Stations (SSs) and some Server BSs selected by the Nearest Neighborhood Algorithms using Orthogonal Frequency Division Multiplexing (OFDM) techniques and compared with the existing Centralized model using Frequency Division Multiplexing (FDM) techniques. …”
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    Conference or Workshop Item
  14. 14

    Reliable battery-aware cooperative multicasting for MBS WiMAX traffic by Elrabiei, Sara Moftah, Habaebi, Mohamed Hadi

    Published 2011
    “…A simulation model, used to present the effect of “before” and “after” the battery–awareness selection crite-rion, highlighted the benefit of using such algorithms in prolonging network lifetime with emphasis on reli-able delivery.…”
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    Article
  15. 15

    An optimal tasks scheduling algorithm based on QoS in cloud computing network by Alhakimi, Mohammed Ameen Mohammed Abdo

    Published 2017
    “…Therefore, if the resource is from the first group then map the average length task to it and if the choosing resource is from the second group, then map the largest length task to it. The simulation tool used for testing the algorithm is WorkflowSim. …”
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    Thesis
  16. 16

    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…Then, a multi criteria with two-threshold algorithm is proposed to prioritize the selection between the LTE and WiMAX as target technologies. …”
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    Thesis
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    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific…”
    Review
  19. 19

    Enhanced algorithm for energy-saving mechanism and frame response time reduction in IEEE 802.16e WiMAX by Baker, Alaa M.

    Published 2010
    “…Adjusting Tmax results in reducing 53% of frame response time. Further simulation conducted, showed that the proposed algorithm performs better than the traditional algorithm in reducing the end-to-end delay, and maintains a small reduction in the energy consumption and increases the throughput at the subscriber station. …”
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    Thesis
  20. 20

    WIMAX INNER RECEIVER DESIGN by Ang, Ken Li

    Published 2007
    “…The standard based products and availability of internet to anyone, anywhere and anytime will almost guarantee the widespread adoption ofWiMAX everywhere. This FYP attempts to simulate the working mechanism of a WiMAX receiver, with focus on synchronization (inner receiver), via simulation in Simulink. …”
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    Final Year Project