TY - GEN
T1 - Low Latency Redundant Network Architecture for Enhancing 5G Mobile Communication Quality
AU - Yamane, Nayuta
AU - Nakazato, Jin
AU - Ito, Koki
AU - Mikami, Manabu
AU - Tsuchiya, Takahiro
AU - Tsukada, Manabu
AU - Esaki, Hiroshi
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - With a growing demand for high-capacity, low-latency communication driven by the increasing use of video streaming and real-time data applications, efficient data transfer methods have become essential. While 5G technology provides enhanced data transfer capabilities, its directional nature can lead to stability issues, including connection interruptions, frequent handoffs, data loss, and increased latency. To address these challenges, we propose a system architecture with a redundant configuration that separates LTE and 5G-SA within a single MNO, alongside a method to reduce overhead. Initial verification in a stationary environment demonstrated the reduction of latency by 38.1 ms compared to the conventional method, underscoring the potential of our approach for stable and efficient data transmission.
AB - With a growing demand for high-capacity, low-latency communication driven by the increasing use of video streaming and real-time data applications, efficient data transfer methods have become essential. While 5G technology provides enhanced data transfer capabilities, its directional nature can lead to stability issues, including connection interruptions, frequent handoffs, data loss, and increased latency. To address these challenges, we propose a system architecture with a redundant configuration that separates LTE and 5G-SA within a single MNO, alongside a method to reduce overhead. Initial verification in a stationary environment demonstrated the reduction of latency by 38.1 ms compared to the conventional method, underscoring the potential of our approach for stable and efficient data transmission.
KW - 5G
KW - LTE
KW - SA
KW - low latency
KW - mobile
KW - redundant communication
UR - https://www.scopus.com/pages/publications/105005717098
U2 - 10.1109/ICOIN63865.2025.10993150
DO - 10.1109/ICOIN63865.2025.10993150
M3 - Conference contribution
AN - SCOPUS:105005717098
T3 - International Conference on Information Networking
SP - 88
EP - 92
BT - 39th International Conference on Information Networking, ICOIN 2025
PB - IEEE Computer Society
T2 - 39th International Conference on Information Networking, ICOIN 2025
Y2 - 15 January 2025 through 17 January 2025
ER -