Open Radio Access Network

Also known as O-RAN

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3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 18

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Evolving Inspectable O-RAN Slicing xApps with LLMs
Sep 23, 2026Faezeh Dehghan Tarzjani, Bhaskar KrishnamachariLarge Language Model-Guided Optimization LLM-Based Program Synthesis
Department of Electrical and Computer Engineering, University of Southern California
Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN
Sep 16, 2026Seyed Bagher Hashemi Natanzi, Bo TangMulti-Agent Control Open Radio Access Network
Department of Electrical and Computer Engineering Worcester Polytechnic Institute, Worcester, MA, USA
The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN
Sep 7, 2026Timothy O'Shea, Matthew Pennybacker, Andriy KharchenkoWireless Communications Open Radio Access Network
DeepSig Inc., Arlington, VA, USA
ML-based Predictive Models for Power Consumption in Virtualised O-RANs
Jul 27, 2026Rishu Raj, Genevieve Akude, Urooj Tariq +1Open Radio Access Network
CONNECT Centre, Trinity College Dublin, Ireland
Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction
Jul 23, 2026Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1Open Radio Access Network Federated Learning
College of Electronics Engineering, Ninevah University, Mosul, Iraq · School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK
ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning
Jul 9, 2026Ashit Kumar Subudhi, Bhargav Chirumamilla, Shubham Vaishnav +5Concept Drift Open Radio Access Network
Indian Institute of Technology Dharwad, Karnataka, India · Johns Hopkins University, USA · Stockholm University, Sweden +2
ORAN-DEFEND: Subspace Detection and Sanitization of Backdoor DRL xApps in Open RAN
Jul 7, 2026Md Raihan Uddin, Fatemeh Lotfi, Tolunay Seyfi +1Adversarial Attacks Backdoor Detection
Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA
From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN
Jun 20, 2026Sabrine Aroua, Alexis I. Aravanis, Ilias Chatzistefanidis +7LLM Agent Orchestration Wireless Communications
Ericsson Research, France · Laboratory of Signals and Systems (L2S), Universite Paris-Saclay, CentraleSupelec, CNRS, France · BubbleRAN, France +1
DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN
Jun 4, 2026Francesco Spinelli, Esteban Municio, Pau Baguer +2Wireless Communications Open Radio Access Network
i2CAT Foundation · NEC Laboratories Europe · ICREA
Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks
May 31, 2026Marwan Dhuheir, Thang X. Vu, Symeon ChatzinotasWireless Communications Open Radio Access Network
The Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg.
Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks
May 31, 2026Marwan Dhuheir, Thang X. Vu, Symeon Chatzinotas6G Networks Reconfigurable Intelligent Surfaces
The Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg.
Jamming-Resilient PRB Reservation for Latency-Critical O-RAN Network Slicing
May 28, 2026Elahe Delavari, Junaid FarooqWireless Communications Open Radio Access Network
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, 48128 USA
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
May 22, 2026Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang +1LLM Agent Orchestration Wireless Communications
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 USA · Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695 USA
ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps
May 21, 2026Cezary Adamczyk, Adrian KliksRL Control Open Radio Access Network
Institute of Radiocommunications Poznan University of Technology Pozna´n, Poland · Lule˚a University of Technology Lule˚a, Sweden
xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks
May 11, 2026Mohammed M. H. Qazzaz, Syed Ali Zaidi, Aubida A. Al-Hameed +2Wireless Communications Open Radio Access Network
School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK · College of Electronics Engineering, Ninevah University, Mosul, Iraq
Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
May 4, 2026Zhenyu Liu, Yi Ma, Rahim TafazolliSafety-Critical Control AI Agent Safety
6GIC, Institute for Communication Systems, University of Surrey, Guildford, United Kingdom, GU2 7XH
Agentic AI-RAN: Enabling Intent-Driven, Explainable and Self-Evolving Open RAN Intelligence
Feb 27, 2026Zhizhou He, Yang Luo, Xinkai Liu +4Wireless Communications Open Radio Access Network
5G/6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, UK · 6G Research Center, Khalifa University, Abu Dhabi, UAE
Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management
Feb 15, 2026Hojjat Navidan, Mohammad Cheraghinia, Jaron Fontaine +5Multi-Agent Orchestration Language Model-Based Control
IDLab, Department of Information Technology at Ghent University - imec, Ghent, Belgium · Department of Electrical and Computer Engineering, Princeton University, USA

Sep 23, 2026, eess.SYJ/K move · Enter open · S save

Evolving Inspectable O-RAN Slicing xApps with LLMs

Faezeh Dehghan Tarzjani, Bhaskar Krishnamachari

Department of Electrical and Computer Engineering, University of Southern California

Large Language Model-Guided Optimization LLM-Based Program Synthesis Open Radio Access Network Wireless Resource Allocation

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Open RAN (O-RAN) slicing xApps must adapt resource allocations to changing channel conditions and traffic demands while meeting service-level agreements (SLAs). Deep reinforcement learning can produce adaptive policies, but their allocation rules remain encoded in neural-network parameters. Our goal is to retain this adaptability while making the controller's decision logic directly inspectable and editable by operators. We use a large language model (LLM) to evolve slicing controllers as compact Python programs whose decision logic remains readable and editable after optimization. The LLM proposes and revises candidates offline, while a calibrated simulator scores them, and the selected decision module runs unchanged in the O-RAN control path. On the NSF POWDER 5G testbed, the evolved controller releases resources from a guaranteed slice whose throughput target becomes unattainable under a sustained channel fade, improving best-effort throughput from 158.2 to 228.6 Mbps, a 44.5% gain over the best static allocation. Since the controllers are readable source code, their behavior can be predicted from their equations, defects can be diagnosed by reading the code, and calibration errors can be corrected with one-line edits, reducing SLA misses from 79.9% to 2.2% in one case and more than doubling fitness in another. In a four-slice trace-driven simulation calibrated to the same testbed, evolutionary search achieves higher average evaluation scores than independent prompting at a matched proposal budget, with mean normalized gains on held-out traces of 16.3% for prompting alone, 32.1% for evolution from scratch, and 51.0% for evolution from a starting program.

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