The next generation of 6G networks will achieve record-breaking speeds, low latencies, an‎d massive connectivity, a revolutionary leap in wireless communication. This seminar addresses the issue of computation offloading an‎d resource allocation in 6G, with particular emphasis on network slicing. With the envisioned use cases such as autonomous vehicles, smart cities, an‎d the Internet of Things (IoT), the optimization of resources becomes increasingly complex an‎d vital. Therefore, ensuring scalability, responsiveness, an‎d smart network resource allocation is a key concern. The seminar discusses new AI-driven solutions integrated with mobile edge computing (MEC) for real-time optimization of resource allocation an‎d offloading decisions. Key concerns discussed include dynamic slice coordination, energy efficiency for IoT devices, an‎d system scalability. Proposed architectures include hybrid MEC-cloud solutions an‎d AI-based optimization methods for reducing latency, energy efficiency optimization, an‎d overall 6G performance maximization. This seminar offers a survey of the enabling technologies an‎d methodologies shaping the future of 6G networks from a computation an‎d resource orchestration perspective.

6/10/2025 12:00:00 AM

87027

1404/04/13

Computation Offloading an‎d Resource Allocation Using Network Slicing in 6G

6G Networks , Computation Offloading , Resource Allocation , Network Slicing , Mobile Edge Computing (MEC)