Center for Secure and Intelligent Critical Systems (CSICS) Publications
ORCID
0000-0002-6338-5505 (Moghim), 0000-0002-8789-0610 (Shetty)
Document Type
Article
Publication Date
2026
DOI
10.1002/ett.70354
Publication Title
Transactions on Emerging Telecommunications Technologies
Volume
37
Issue
2
Pages
e70354 (1-25)
Abstract
Computational offloading transfers tasks from resource-constrained devices to more capable servers or cloud platforms, improving processing speed and user experience. Open radio access networks (O-RAN's) disaggregated architecture and open interfaces make it suitable for offloading delay-sensitive tasks, enhancing real-time application performance. This study focuses on task offloading in O-RAN, a reference network architecture. Although research on O-RAN is limited, existing work lacks a comprehensive approach to offloading, including offloading layer determination, node selection, and resource allocation based on task types and their latency needs. We propose a delay-aware task offloading framework within O-RAN to support diverse delay requirements, improving offloading efficiency. To address this, we introduce COOR (Computation Offloading for O-RAN), a centralized approach that leverages network-wide data. Using Genetic Algorithms (GA), we manage computational complexity effectively. Simulation results show COOR's superior performance in reducing latency.
Rights
© 2026 The Authors.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Data Availability
Article states: "Data sharing not applicable to this article as no datasets were generated or analysed during the current study."
Original Publication Citation
Taheri, S., Moghim, N., Movahhedinia, N., & Shetty, S. (2026). Framework for task offloading in O-RAN architecture for heterogeneous computing applications. Transactions on Emerging Telecommunications Technologies, 37(2), 1-25, Article e70354. https://doi.org/10.1002/ett.70354
Repository Citation
Taheri, S., Moghim, N., Movahhedinia, N., & Shetty, S. (2026). Framework for task offloading in O-RAN architecture for heterogeneous computing applications. Transactions on Emerging Telecommunications Technologies, 37(2), 1-25, Article e70354. https://doi.org/10.1002/ett.70354