mlsanityData to 14 Oct 2026

Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning

arXiv 2401.06922 ↗First posted 12 Jan 2024cs.LG cs.AI cs.NIcited by 5

On the map: Deep reinforcement learning methods → RL for energy, networks and operations

Abstract (arXiv)

With emerging applications such as autonomous driving, smart cities, and smart factories, network slicing has become an essential component of 5G and beyond networks as a means of catering to a service-aware network. However, managing different network slices while maintaining quality of services (QoS) is a challenge in a dynamic environment. To address this issue, this paper leverages the heterogeneous experiences of distributed units (DUs) in ORAN systems and introduces a novel approach to ORAN slicing xApp using distributed deep reinforcement learning (DDRL). Additionally, to enhance the decision-making performance of the RL agent, a prediction rApp based on long short-term memory (LSTM) is incorporated to provide additional information from the dynamic environment to the xApp. Simulation results demonstrate significant improvements in network performance, particularly in reducing QoS violations. This emphasizes the importance of using the prediction rApp and distributed actors' information jointly as part of a dynamic xApp.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in RL for energy, networks and operations, one of 15 directions in Deep reinforcement learning methods. Builds on 12 of its 20 references that are in the map. First posted on arXiv 12 Jan 2024.

Builds on

12 of 20 references.

References · 12

  1. 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,885
  2. 2022Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicingcited by 14
  3. 2022Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)cited by 11
  4. 2022Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RANcited by 11
  5. 2022Predictive Closed-Loop Service Automation in O-RAN based Network Slicingcited by 8
  6. 2022Intelligent Traffic Steering in Beyond 5G Open RAN based on LSTM Traffic Predictioncited by 7
  7. 2023Attention-based Open RAN Slice Management using Deep Reinforcement Learningcited by 7
  8. 2023Diversity Maximized Scheduling in RoadSide Units for Traffic Monitoring Applicationscited by 7
  9. 2021Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networkscited by 6
  10. 2022Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaulcited by 4
  11. 2023Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarioscited by 3
  12. 2023Automated Stability Analysis of Piecewise Affine Dynamics Using Verticescited by 2

Built on by

Cited by year

Citing papers per year: 2024: 1; 2025: 4.

5 papers.

  1. 2024Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RANcited by 8
  2. 2025Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networkscited by 3
  3. 2025ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicingcited by 3
  4. 2025Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learningcited by 1
  5. 2025Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RANcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
  2. 2025Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning
  3. 2024On Enhancing Network Throughput using Reinforcement Learning in Sliced Testbeds
  4. 2024Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges
  5. 2024Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
  6. 2025Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN
  7. 2025Prioritizing Latency with Profit: A DRL-Based Admission Control for 5G Network Slices
  8. 2023Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing