연구 분야: Networking
학회: 2025 Global Conference in Emerging Technology (GINOTECH)
This paper explores the incorporation of Multi-Access Edge Computing (MEC) with 5G Radio Access Network (RAN) cloudification, emphasizing its role in addressing the challenges of latency-sensitive and resource-intensive applications. By removing computing duties from centralized cloud data centers, MEC allows data processing at the network's edge, decreasing latency and improving network efficiency. The paper proposes an AI/ML-driven framework for edge intelligence, facilitating real-time decision-making, dynamic resource allocation, and adaptive network optimization. A comprehensive performance evaluation compares MEC-enabled 5G RAN with traditional cloud-based RAN, demonstrating significant improvements in latency, computational efficiency, and energy consumption. Along with discussing important issues like flexibility, compatibility, security, and standards, the document also lays out future plans for the development of 6G, AI-native networking, and edge quantum computing. The next wave of intelligent and low-latency networks will be greatly influenced by these developments.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 18 |
| 출판 국가 | Andorra |
| 사이트 | IEEE |
| 좋아요 수 | 0 |