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  • Open Access


    Novel Path Counting-Based Method for Fractal Dimension Estimation of the Ultra-Dense Networks

    Farid Nahli11, Alexander Paramonov1, Naglaa F. Soliman2, Hussah Nasser AlEisa3,*, Reem Alkanhel2, Ammar Muthanna1, Abdelhamied A. Ateya4

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 561-572, 2023, DOI:10.32604/iasc.2023.031299

    Abstract Next-generation networks, including the Internet of Things (IoT), fifth-generation cellular systems (5G), and sixth-generation cellular systems (6G), suffer from the dramatic increase of the number of deployed devices. This puts high constraints and challenges on the design of such networks. Structural changing of the network is one of such challenges that affect the network performance, including the required quality of service (QoS). The fractal dimension (FD) is considered one of the main indicators used to represent the structure of the communication network. To this end, this work analyzes the FD of the network and its use for telecommunication networks investigation… More >

  • Open Access


    Data Aggregation-based Transmission Method in Ultra-Dense Wireless Networks

    Dae-Young Kim, Seokhoon Kim*

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 727-737, 2023, DOI:10.32604/iasc.2023.027563

    Abstract As the Internet of Things (IoT) advances, machine-type devices are densely deployed and massive networks such as ultra-dense networks (UDNs) are formed. Various devices attend to the network to transmit data using machine-type communication (MTC), whereby numerous, various are generated. MTC devices generally have resource constraints and use wireless communication. In this kind of network, data aggregation is a key function to provide transmission efficiency. It can reduce the number of transmitted data in the network, and this leads to energy saving and reducing transmission delays. In order to effectively operate data aggregation in UDNs, it is important to select… More >

  • Open Access


    Reinforcement Learning-Based Optimization for Drone Mobility in 5G and Beyond Ultra-Dense Networks

    Jawad Tanveer1, Amir Haider2, Rashid Ali2, Ajung Kim1,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3807-3823, 2021, DOI:10.32604/cmc.2021.016087

    Abstract Drone applications in 5th generation (5G) networks mainly focus on services and use cases such as providing connectivity during crowded events, human-instigated disasters, unmanned aerial vehicle traffic management, internet of things in the sky, and situation awareness. 4G and 5G cellular networks face various challenges to ensure dynamic control and safe mobility of the drone when it is tasked with delivering these services. The drone can fly in three-dimensional space. The drone connectivity can suffer from increased handover cost due to several reasons, including variations in the received signal strength indicator, co-channel interference offered to the drone by neighboring cells,… More >

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