This paper explores the modular integration of quantum computing within virtualized radio access network (RAN) architectures. Industrial wireless networks present challenges in managing network resources due to their time-critical and large-scale characteristics, distinct from those of general networks. Recently, open RAN (O-RAN) has emerged as a virtualized networking framework that supports customized RAN utilization through the modular assembly of functional units. This structure allows the computational acceleration of quantum computing to be leveraged for industrial networks as independent softwarized modules. In this study, a dedicated quantum module is designed as near-real time resource management component in O-RAN, referred to as quantum-based xApp (Q-xApp). To establish quantum-based processes within Q-xApps, a quantum representation of network configurations is introduced, along with a quantum algorithm for network resource management that considers continuous utility and constraint considerations. Lastly, the feasibility of the proposed Q-xApp is demonstrated through simulation-based evaluations.
This paper explores the modular integration of quantum computing within virtualized radio access network (RAN) architectures. Industrial wireless networks present challenges in managing network resources due to their time-critical and large-scale characteristics, distinct from those of general networks. Recently, open RAN (O-RAN) has emerged as a virtualized networking framework that supports customized RAN utilization through the modular assembly of functional units. This structure allows the computational acceleration of quantum computing to be leveraged for industrial networks as independent softwarized modules. In this study, a dedicated quantum module is designed as near-real time resource management component in O-RAN, referred to as quantum-based xApp (Q-xApp). To establish quantum-based processes within Q-xApps, a quantum representation of network configurations is introduced, along with a quantum algorithm for network resource management that considers continuous utility and constraint considerations. Lastly, the feasibility of the proposed Q-xApp is demonstrated through simulation-based evaluations.
Radio is the most important part of any wireless network. Radio Access Network (RAN) has been virtualized and disaggregated into different functions whose location is best defined by the requirements and economics of the use case. This Virtualized RAN (vRAN) architecture separates network functions from the underlying hardware and so 5G can leverage virtualization of the RAN to implement these functions. The easy expandability and manageability of the vRAN support the expansion of the network capacity and deployment of new features and algorithms for streamlining resource usage. In this paper, we try to address the problem of scheduling 5G vRAN with mid-haul network capacity constraints as a combinatorial optimization problem. We transformed it to a Quadratic Unconstrained Binary Optimization (QUBO) problem by using a newly proposed quantum-based algorithm and compared our implementation with existing classical algorithms. This work has demonstrated the advantage of quantum computers in solving a particular optimization problem in the Telecommunication domain and paves the way for solving critical real-world problems using quantum computers faster and better.
The rise of quantum computing poses a major threat to traditional ciphers, specifically making the Radio Access Network (RAN) vulnerable to future quantum-based attacks. To address this challenge, this paper proposes quantum-inspired RAN (Q-RAN), a next-generation framework designed to future-proof telecom networks against quantum threats. As a foundation, to evaluate, we integrate quantum network simulators with the Open-Source OpenAirInterface (OAI) stack to deploy a 5G standalone network capable of supporting quantum operations. We analyzed these, and the best fit is taken for quantum proofing. This paper considered four different quantum simulators — QuNetSim, SimQN, SeQuence, and NetSquid — for integrating with the 5G Open source stack. The framework generated by these simulators is called Quantum Gateways (namely Qtunnels) enables seamless message exchange between quantum and classical RAN components. This integrated architecture showcases how quantum simulators can be harmonized on existing 5G infrastructure, establishing a resilient and adaptable telco ecosystem catered to the quantum era or post-quantum era. In addition, this paper quantifies the Qtunnel impact — F1 Interface — between the Central Unit (CU) and Distribution Unit (DU) of RAN. The results show that the Post Quantum Cryptography (PQC)-enabled F1 interfaces provide a two-fold overhead delay when compared to the benchmark delay, however, the PQC-enabled RAN interfaces are resistant to quantum threats.
With its disaggregated and open interfaces, the Open Radio Access Network (O-RAN) architecture promises flexibility, innovation, and cost-effectiveness for future wireless networks. However, the increased reliance on software and open interfaces also introduces new security challenges. As the threat of quantum computing looms, the traditional cryptographic algorithms used in O-RAN will become vulnerable to potential attacks. This paper proposes the integration of Post-Quantum Cryptography (PQC) into O-RAN to enhance its security against post-quantum adversaries. We discuss the specific vulnerabilities of current O-RAN security mechanisms to quantum attacks and identify key areas where PQC can be applied, such as key exchange, authentication, and data protection. We present a framework for evaluating the suitability of different PQC algorithms for O-RAN and outline potential challenges and implementation considerations. By proactively integrating PQC into O-RAN, we aim to ensure the long-term security and resilience of this emerging network architecture in the era of quantum computing.
Open Radio Access Networks (O-RAN) introduce unprecedented flexibility, interoperability, and intelligence into next-generation wireless systems, but their disaggregated and software-defined architecture also expands the attack surface and creates new security vulnerabilities. Conventional cryptographic mechanisms, while effective against classical threats, may become insufficient in the presence of quantum-enabled adversaries. This article presents a comprehensive perspective on quantum security for O-RAN, examining how quantum-resilient mechanisms can enhance confidentiality, authentication, and trust across the RAN ecosystem. It discusses post-quantum cryptography (PQC), quantum cryptography, quantum authentication, and quantum-enhanced threat detection within a zero-trust architecture based on continuous verification, least privilege, and micro-segmentation. Their integration with the Near-Real-Time (Near-RT) RAN Intelligent Controller, O-Cloud, and open interfaces is analyzed, together with practical deployment considerations, technology maturity, and adoption timelines. Finally, open research directions are outlined toward secure, resilient, and future-proof O-RAN architectures for 6G networks.
As cellular networks evolve towards 5G and beyond, the increasing complexity demands advanced approaches for efficient management and network intelligence. While classical machine learning (ML) plays a vital role in network planning, optimization and resilience, it faces limitations in handling largescale data and dynamic environments. Quantum Technologies (QTs) offer a promising way forward in this area, leveraging quantum computing principles to potentially enhance processing power and scalability. Toward this end, the present article explores the application of the Quantum Machine Learning (QML) and Quantum-Inspired (QI) algorithms in the management of cellular networks. A novel framework for the integration of such approaches in 5G / 6G networks is developed with a special focus on Open RAN architectures. The proposed application of QTs is then assessed based on real cellular data and Quantum algorithms for three main areas of cellular management: network metrics estimation, classification of failures, and resource optimization, showing the capabilities of the approach. Finally, the main challenges and future R&D lines in the area are identified.
The Open Radio Access Network (O-RAN) offers flexibility and innovation but introduces unique security vulnerabilities, particularly from cryptographically relevant quantum computers. While Post-Quantum Cryptography (PQC) is the primary scalable defence, its computationally intensive handshakes create a significant bottleneck for the RAN control plane, posing sustainability challenges. This article proposes an energy-aware framework to solve this PQC bottleneck, ensuring quantum resilience without sacrificing operational energy efficiency. The system employs an O-RAN aligned split: a Crypto Policy rApp residing in the Non-Real- Time (Non-RT) RIC defines the strategic security envelope (including PQC suites), while a Security Operations Scheduling (SOS) xApp in the Near-RT RIC converts these into tactical timing and placement intents. Cryptographic enforcement remains at standards-compliant endpoints: the Open Fronthaul utilizes Media Access Control Security (MACsec) at the O-DU/O-RU, while the xhaul (midhaul and backhaul) utilizes IP Security (IPsec) at tunnel terminators. The SOS xApp reduces PQC overhead by batching non-urgent handshakes, prioritizing session resumption, and selecting parameters that meet slice SLAs while minimizing joules per secure connection. We evaluate the architecture via a Discrete-Event Simulation (DES) using 3GPP-aligned traffic profiles and verified hardware benchmarks from literature. Results show that intelligent scheduling can reduce per-handshake energy by approximately 60% without violating slice latency targets.