Mobility-aware service migration and two-timescale task offloading for distributed edge computing in open RAN
Abstract
This paper proposes a mobility-aware two-timescale orchestration framework for distributed edge computing in Open Radio Access Networks, where user mobility, handover events, service migration, task offloading, and radio–compute allocation are jointly considered. The framework exploits the functional separation between the Non-Real-Time RAN Intelligent Controller (Non-RT RIC) and Near-Real-Time RIC to coordinate decisions over different temporal scales. At the slower timescale, the Non-RT RIC analyzes historical traffic, regional load, and predicted mobility flows to generate service-placement guidance, resource envelopes, and migration-aware control parameters. At the faster timescale, a Near-RT RIC xApp performs handover-coupled task offloading, service migration, bandwidth allocation, and edge-computing assignment using instantaneous channel, queue, mobility, and resource states. A graph-contextual representation is further employed to capture neighboring-region congestion, available capacity, and mobility transitions, enabling scalable inter-region coordination. The resulting stochastic optimization formulation incorporates communication, computation, and migration delays together with resource, queue-stability, and service-continuity constraints. A hybrid actor–critic learning mechanism with centralized training and decentralized execution is adopted to obtain feasible mobility-aware orchestration policies for dynamic multi-service Open RAN edge environments.
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BibTeX
@article{mohajer2026mobilityaware,
title = {{Mobility-aware service migration and two-timescale task offloading for distributed edge computing in open RAN}},
author = {Amin Mohajer and Abbas Mirzaei and Babak Nouri-Moghaddam and Ali Ghaffari and Xavier Fernando},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-73893-x},
url = {https://www.nature.com/articles/s41598-026-73893-x},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Mobility-aware service migration and two-timescale task offloading for distributed edge computing in open RAN
AU - Amin Mohajer
AU - Abbas Mirzaei
AU - Babak Nouri-Moghaddam
AU - Ali Ghaffari
AU - Xavier Fernando
PY - 2026
DA - 2026/10/08
JO - Scientific Reports
DO - 10.1038/s41598-026-73893-x
UR - https://www.nature.com/articles/s41598-026-73893-x
AB - This paper proposes a mobility-aware two-timescale orchestration framework for distributed edge computing in Open Radio Access Networks, where user mobility, handover events, service migration, task offloading, and radio–compute allocation are jointly considered. The framework exploits the functional separation between the Non-Real-Time RAN Intelligent Controller (Non-RT RIC) and Near-Real-Time RIC to coordinate decisions over different temporal scales. At the slower timescale, the Non-RT RIC analyzes historical traffic, regional load, and predicted mobility flows to generate service-placement guidance, resource envelopes, and migration-aware control parameters. At the faster timescale, a Near-RT RIC xApp performs handover-coupled task offloading, service migration, bandwidth allocation, and edge-computing assignment using instantaneous channel, queue, mobility, and resource states. A graph-contextual representation is further employed to capture neighboring-region congestion, available capacity, and mobility transitions, enabling scalable inter-region coordination. The resulting stochastic optimization formulation incorporates communication, computation, and migration delays together with resource, queue-stability, and service-continuity constraints. A hybrid actor–critic learning mechanism with centralized training and decentralized execution is adopted to obtain feasible mobility-aware orchestration policies for dynamic multi-service Open RAN edge environments.
SN - 2045-2322
ER -