TY - GEN
T1 - Distributed Hierarchical Slack-Reduction in Slicing for Railways FRMCS
AU - Mukuhi, David Kule
AU - Mendiboure, Leo
AU - Langar, Rami
AU - Fargeon, Rodrigue
AU - Cherrier, Sylvain
AU - Berbineau, Marion
AU - Petton, Pierre Yves
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The Future Railway Mobile Communication System (FRMCS), based on 5G technology, is being developed to support high-speed train mobility and increasing data-rate demands within the limited 5-10MHz frequency bandwidth allocated to railway operators. The fluctuating channel conditions and limited radio resources present a significant challenge for the Radio Access Network (RAN). Railway communications are structured around application-specific requirements, categorized into three classes: critical (ultra-reliable train control and safety operations), performance (bandwidth-intensive services like video surveillance and infotainment), and business (on-board Wi-Fi). Existing RAN slicing solutions, are designed for public 5G Networks, assume wideband carriers or static quotas at slice level or user level, so they cannot guarantee application-level requirements or adapt to dynamic channel-quality indicator (CQI) swings in railways. That is why we propose HSRS (Distributed Hierarchical Slack-Reduction Slicing), which formulates this NPhard allocation problem as an integer linear program and applies a two-phase heuristic: 1) minimize SLA slack for critical; 2) maximize weighted throughput for performance and business slices. Simulations using SNR traces captured on real trains traveling up to 350kmh demonstrate the improved application-level SLA satisfaction compared to baseline methods.
AB - The Future Railway Mobile Communication System (FRMCS), based on 5G technology, is being developed to support high-speed train mobility and increasing data-rate demands within the limited 5-10MHz frequency bandwidth allocated to railway operators. The fluctuating channel conditions and limited radio resources present a significant challenge for the Radio Access Network (RAN). Railway communications are structured around application-specific requirements, categorized into three classes: critical (ultra-reliable train control and safety operations), performance (bandwidth-intensive services like video surveillance and infotainment), and business (on-board Wi-Fi). Existing RAN slicing solutions, are designed for public 5G Networks, assume wideband carriers or static quotas at slice level or user level, so they cannot guarantee application-level requirements or adapt to dynamic channel-quality indicator (CQI) swings in railways. That is why we propose HSRS (Distributed Hierarchical Slack-Reduction Slicing), which formulates this NPhard allocation problem as an integer linear program and applies a two-phase heuristic: 1) minimize SLA slack for critical; 2) maximize weighted throughput for performance and business slices. Simulations using SNR traces captured on real trains traveling up to 350kmh demonstrate the improved application-level SLA satisfaction compared to baseline methods.
KW - FRMCS
KW - Network slicing
KW - railway communications
KW - RAN
KW - TOBA
UR - https://www.scopus.com/pages/publications/105029907171
U2 - 10.1109/WiMob66857.2025.11257555
DO - 10.1109/WiMob66857.2025.11257555
M3 - Contribution to conference proceedings
AN - SCOPUS:105029907171
T3 - International Conference on Wireless and Mobile Computing, Networking and Communications
SP - 211
EP - 216
BT - 2025 21st International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2025
PB - IEEE Computer Society
T2 - 21st International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2025
Y2 - 20 October 2025 through 22 October 2025
ER -