Next-Generation 5G Mobile Hotspot: AI-Powered Traffic Optimization and Enhanced User Control
This paper introduces the Next-Generation Mobile Hotspot (NGMHS), a breakthrough solution for optimizing 5G mobile hotspot performance through intelligent, AI-powered traffic management and user-focused controls. Leveraging extended Berkeley Packet Filter (eBPF) technology, NGMHS efficiently monitors per-client traffic, reducing processing overhead while providing precise real-time control. Central to NGMHS is the AI-based Network Service Detector (NSD+), which dynamically prioritizes real-time traffic, significantly enhancing video call bitrates and reducing latency for gaming applications. Our evaluations on the Samsung A54 and Galaxy S24 devices demonstrate marked improvements in user experience, with innovations such as privacy-focused OTP user-profiles and granular traffic insights. NGMHS represents a pioneering step forward in 5G connectivity, offering a seamless, secure, and highly customizable mobile hotspot experience. NGMHS is successfully deployed across Samsung's A, M, S, Fold, and Flip series models, where increased user engagement and consistent performance improvements have been observed post-deployment.
Authors
- Gunasekaran Raja (ORCID: https://orcid.org/0000-0002-2253-7648)
- Madhan Raj Kanagarathinam (ORCID: https://orcid.org/0000-0002-1167-7389)
- Khuong N. Nguyen (ORCID: https://orcid.org/0000-0003-2631-350X)
- Sukhdeep Singh (ORCID: https://orcid.org/0000-0003-1553-3275)
- Jong-Mu Choi
- Jayendra Reddy Kovvuri
- Yuming Zhu
- Ankit Vakil
Institutions
- Samsung (South Korea) (KR)
- Anna University, Chennai (IN)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/icc52391.2025.11161397
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00