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  • Open Access

    REVIEW

    Modeling and Comprehensive Review of Signaling Storms in 3GPP-Based Mobile Broadband Networks: Causes, Solutions, and Countermeasures

    Muhammad Qasim Khan1, Fazal Malik1, Fahad Alturise2,*, Noor Rahman3

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 123-153, 2025, DOI:10.32604/cmes.2024.057272 - 17 December 2024

    Abstract Control signaling is mandatory for the operation and management of all types of communication networks, including the Third Generation Partnership Project (3GPP) mobile broadband networks. However, they consume important and scarce network resources such as bandwidth and processing power. There have been several reports of these control signaling turning into signaling storms halting network operations and causing the respective Telecom companies big financial losses. This paper draws its motivation from such real network disaster incidents attributed to signaling storms. In this paper, we present a thorough survey of the causes, of the signaling storm problems More >

  • Open Access

    ARTICLE

    Mean Opinion Score Estimation for Mobile Broadband Networks Using Bayesian Networks

    Ayman A. El-Saleh1, Abdulraqeb Alhammadi2,*, Ibraheem Shayea3, Azizul Azizan4, Wan Haslina Hassan2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4571-4587, 2022, DOI:10.32604/cmc.2022.024642 - 21 April 2022

    Abstract Mobile broadband (MBB) networks are expanding rapidly to deliver higher data speeds. The fifth-generation cellular network promises enhanced-MBB with high-speed data rates, low power connectivity, and ultra-low latency video streaming. However, existing cellular networks are unable to perform well due to high latency and low bandwidth, which degrades the performance of various applications. As a result, monitoring and evaluation of the performance of these network-supported services is critical. Mobile network providers optimize and monitor their network performance to ensure the highest quality of service to their end-users. This paper proposes a Bayesian model to estimate More >

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