TY - GEN
T1 - Latency-aware E2E Multi-path Data Transmission Optimization Towards Next-gen Mobile Networks
AU - Cao, Liu
AU - Kiani, Abbas
AU - Xiang, Amanda
AU - John, Kaippallimalil
AU - Saboorian, Tony
AU - Zhang, Lyutianyang
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 5th Generation Mobile Communication Technology (5G) utilizes the Access Traffic Steering, Switching, and Splitting (ATSSS) rule to enable End-to-end (E2E) multi-path data transmission, which is currently being standardized. Recently, the 3rd Generation Partnership Project (3GPP) SA1 and SA2 have been working on the E2E multi-path proposal for Ultra-reliable Low-latency Communication (URLLC) traffic. However, the resource allocation using the E2E multi-path architecture for next-gen mobile networks is still under-explored. In order to capture the potential gains in the context of URLLC services, this paper proposes a novel traffic splitting technique that can more efficiently enjoy the benefit of the existing E2E multi-path architecture in reducing user equipment (UE) uplink (UL) E2E latency. In particular, we formulate an optimization problem that minimizes the UL E2E latency of the user via joint optimization of the traffic ratio assigned to each path and their corresponding transmit power. The performance of the proposed scheme is evaluated via well-designed simulations.
AB - 5th Generation Mobile Communication Technology (5G) utilizes the Access Traffic Steering, Switching, and Splitting (ATSSS) rule to enable End-to-end (E2E) multi-path data transmission, which is currently being standardized. Recently, the 3rd Generation Partnership Project (3GPP) SA1 and SA2 have been working on the E2E multi-path proposal for Ultra-reliable Low-latency Communication (URLLC) traffic. However, the resource allocation using the E2E multi-path architecture for next-gen mobile networks is still under-explored. In order to capture the potential gains in the context of URLLC services, this paper proposes a novel traffic splitting technique that can more efficiently enjoy the benefit of the existing E2E multi-path architecture in reducing user equipment (UE) uplink (UL) E2E latency. In particular, we formulate an optimization problem that minimizes the UL E2E latency of the user via joint optimization of the traffic ratio assigned to each path and their corresponding transmit power. The performance of the proposed scheme is evaluated via well-designed simulations.
KW - ATSSS
KW - E2E
KW - Latency
KW - Multi-path
KW - Next-gen Mobile Networks
KW - URLLC
UR - https://www.scopus.com/pages/publications/105017600308
U2 - 10.1109/ICCCWorkshops67136.2025.11148092
DO - 10.1109/ICCCWorkshops67136.2025.11148092
M3 - 会议稿件
AN - SCOPUS:105017600308
T3 - 2025 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2025
BT - 2025 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2025
Y2 - 10 August 2025 through 13 August 2025
ER -