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.
