Earticle

초록

영어

6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.

목차

Abstract
1. Introduction
2. Related Work
2.1 Advances in LEO Satellite Communication
2.2 Enhancements in MEC for Networks
2.3 Combining LEO Satellite with MEC
2.4 Application of Game Theory in Network Optimization
2.5 Dynamic Optimization Techniques in Fluctuating Environments
3. System Model and Proposed Scheme
3.1 System Model
3.2 Proposed Scheme
5. Simulation Results
6. Conclusion
Acknowledgement
References

키워드

저자

• Ducsun Lim [ Post-Doc, Department of Computer Software, Hanyang University, Korea ] Corresponding Author
• Dongkyun Lim [ Professor, Department of Computer Science Engineering, Hanyang Cyber University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380