ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN
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Abstract (arXiv)
Network slicing allows Telecom Operators (TOs) to support service provisioning with diverse Service Level Agreements (SLAs). The combination of network slicing and Open Radio Access Network (RAN) enables TOs to provide more customized network services and higher commercial benefits. However, in the current Open RAN community, an open-source end-to-end slicing solution for 5G is still missing. To bridge this gap, we developed ORANSlice, an open-source network slicing-enabled Open RAN system integrated with popular open-source RAN frameworks. ORANSlice features programmable, 3GPP-compliant RAN slicing and scheduling functionalities. It supports RAN slicing control and optimization via xApps on the near-real-time RAN Intelligent Controller (RIC) thanks to an extension of the E2 interface between RIC and RAN, and service models for slicing. We deploy and test ORANSlice on different O-RAN testbeds and demonstrate its capabilities on different use cases, including slice prioritization and minimum radio resource guarantee.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Oct 2024.
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Citing papers per year: 2026: 4.
4 papers.
- 2026DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networkscited by 1
- 2026BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networkscited by 0
- 2026Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automationcited by 0
- 2026Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RANcited by 0
- 2026Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN16 Sep 2026
- 2026DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks21 May 2026
- 2026Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation11 May 2026
- 2026BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks15 Feb 2026