• شماره ركورد
    14415
  • عنوان
    تخليه‌بار محاسباتي مبتني بر تراهرتز براي محاسبات لبه در شبكه‌هاي نسل ششم
  • سال تحصيل
    1402
  • استاد راهنما
    دكتر زينب موحدي
  • چکيده
    The advent of 6G networks introduces unprecedented opportunities for high-speed communication, ultra-low latency, and massive connectivity. Within this landscape, Terahertz (THz) technology and Mobile Edge Computing (MEC) emerge as pivotal enablers for achieving these objectives. This seminar explores THz-based edge computation offloading, a paradigm that leverages the immense bandwidth of THz frequencies to meet the computational demands of 6G applications, such as augmented reality (AR), Internet of Things (IoT), and vehicular networks. The seminar identifies key challenges inherent to THz communication and MEC integration, including mobility management, service migration, latency reduction, edge caching, and task offloading in dynamic environments. It also addresses issues such as limited THz propagation range, energy efficiency, and secure data handling. These challenges pose significant barriers to the seamless delivery of computation-intensive services in 6G networks. To tackle these obstacles, the seminar proposes solutions grounded in advanced AI techniques, including deep reinforcement learning and blockchain for secure service migration. It also emphasizes innovative approaches to enhance edge caching, optimize mobility-aware task offloading, and leverage intelligent algorithms for accurate user positioning. The goal of these solutions is to minimize latency, optimize resource utilization, and ensure reliable service delivery in the face of dynamic network conditions. The proposed methods achieve promising results, demonstrating reduced computational delays, improved energy efficiency, and enhanced user quality of service (QoS). These findings establish THz-based edge computation offloading as a transformative technology in 6G, enabling robust and scalable solutions for next-generation networks. In conclusion, this seminar underscores the potential of THz communication and MEC in addressing the challenges of 6G. It provides a foundation for future research, paving the way for innovative applications and efficient edge computing paradigms in 6G networks and beyond.
  • نام دانشجو

    تقوي عبدالرضا

  • تاريخ ارائه
    12/11/2024 12:00:00 AM
  • متن كامل
    85607
  • پديد آورنده

    تقوا عبدالرضا

  • تاريخ ورود اطلاعات
    1403/10/29
  • عنوان به انگليسي
    THz-based Edge Computation Offloading in 6G
  • كليدواژه هاي فارسي
    پردازش لبه موبايل , تخليه بار محاسباتي , پردازش تراهرتزي , پردازش لبه
  • كليدواژه هاي لاتين
    Terahertz Communication , 6G Networks , Edge Computing , Computation Offloading , Mobility Management , Ultra-Low Latency , Mobile edge computing