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  • Open Access

    ARTICLE

    DRL-Based Task Scheduling and Trajectory Control for UAV-Assisted MEC Systems

    Sai Xu1,*, Jun Liu1,*, Shengyu Huang1, Zhi Li2

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071865 - 12 January 2026

    Abstract In scenarios where ground-based cloud computing infrastructure is unavailable, unmanned aerial vehicles (UAVs) act as mobile edge computing (MEC) servers to provide on-demand computation services for ground terminals. To address the challenge of jointly optimizing task scheduling and UAV trajectory under limited resources and high mobility of UAVs, this paper presents PER-MATD3, a multi-agent deep reinforcement learning algorithm with prioritized experience replay (PER) into the Centralized Training with Decentralized Execution (CTDE) framework. Specifically, PER-MATD3 enables each agent to learn a decentralized policy using only local observations during execution, while leveraging a shared replay buffer with More >

  • Open Access

    ARTICLE

    Efficient UAV Communications: Recent Trends and Challenges

    Abdulfattah Noorwali1, Muhammad Awais Javed2, Mohammad Zubair Khan3,*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 463-476, 2021, DOI:10.32604/cmc.2021.014668 - 12 January 2021

    Abstract Unmanned Ariel Vehicles (UAVs) are flying objects whose trajectory can be remotely controlled. UAVs have lot of potential applications in the areas of wireless communications, internet of things, security, traffic management, monitoring, and smart surveying. By enabling reliable communication between UAVs and ground nodes, emergency notifications can be efficiently and quickly disseminated to a wider area. UAVs can gather data from remote areas, industrial units, and emergency scenarios without human involvement. UAVs can support ubiquitous connectivity, green communications, and intelligent wireless resource management. To efficiently use UAVs for all these applications, important challenges need to… More >

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