Search Results - (( evolution communication among algorithm ) OR ( java implication force algorithm ))

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    Load balancing in 4G long term evolution / Marvin Hendary by Hendary, Marvin

    Published 2013
    “…Long Term Evolution (LTE) and LTE-Advanced is the next major step towards 4th generation of mobile communications. …”
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    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

    Published 2023
    “…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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    Design and development of the network interface, packets scheduling and interference mitigation schemes for LTE-based femtocell networks / Sinan Ghassan Abid Ali by Ali, Sinan Ghassan Abid

    Published 2016
    “…The proposed RBP scheduling algorithm outperforms the well-known scheduling algorithms in terms of a lower PLR among users in the LTE based femtocell network. …”
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    Energy and spectral efficiency balancing algorithm for energy saving in LTE downlinks by Maharazu, Mamman, Mohd Hanapi, Zurina, Mahmoud Alrashah, Mohamed Alhadi

    Published 2021
    “…In wireless network communication environments, Spectral Efficiency (SE) and Energy Efficiency (EE) are among the major indicators used for evaluating network performance. …”
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    Performance analysis of downlink scheduling in 3GPP LTE system / Muhammad Haikal Hashim by Hashim, Muhammad Haikal

    Published 2014
    “…LTE is the new way for cellular communications to operate at higher data rate, achieving 100 Mbps or faster. …”
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    iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems by Azad, Saiful, Mahmud, Mufti, Kamal Zuhairi, Zamli, Kaiser, M. Shamim, Jahan, Sobhana, Razzaque, Md Abdur

    Published 2024
    “…For this intelligent TMM, a variant of Frequency Pattern Growth (FP-Growth), called enhanced FP-Growth (EFP-Growth) algorithm is developed by altering the internal data structures for faster execution and by developing a modified exponential decay function (MEDF) to automatically calculate minimum supports for adapting trust evolution characteristics. …”
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