# Efficient Resource Management for Secure and Low-Latency O-RAN Communication

arXiv: https://arxiv.org/abs/2503.07857 · HTML: https://mlsanity.com/paper/2503.07857/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Mar 2025.

## Built on by (most cited first, 2 of 2)

- [RL-Driven Security-Aware Resource Allocation Framework for UAV-Assisted O-RAN](https://mlsanity.com/paper/2510.18084/) (2025)
- [Hybrid Responsible AI-Stochastic Approach for SLA Compliance in Multivendor 6G Networks](https://mlsanity.com/paper/2602.09841/) (2026)

## Abstract (arXiv)

Open Radio Access Networks (O-RAN) are transforming telecommunications by shifting from centralized to distributed architectures, promoting flexibility, interoperability, and innovation through open interfaces and multi-vendor environments. However, O-RAN's reliance on cloud-based architecture and enhanced observability introduces significant security and resource management challenges. Efficient resource management is crucial for secure and reliable communication in O-RAN, within the resource-constrained environment and heterogeneity of requirements, where multiple User Equipment (UE) and O-RAN Radio Units (O-RUs) coexist. This paper develops a framework to manage these aspects, ensuring each O-RU is associated with UEs based on their communication channel qualities and computational resources, and selecting appropriate encryption algorithms to safeguard data confidentiality, integrity, and authentication. A Multi-objective Optimization Problem (MOP) is formulated to minimize latency and maximize security within resource constraints. Different approaches are proposed to relax the complexity of the problem and achieve near-optimal performance, facilitating trade-offs between latency, security, and solution complexity. Simulation results demonstrate that the proposed approaches are close enough to the optimal solution, proving that our approach is both effective and efficient.