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PhD Researcher

Xingqi Wu

Resource orchestration for 5G O-RAN networks

Anticipated graduation: Expected 2028

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Xingqi Wu is a Ph.D. researcher developing multi-agent reinforcement learning and large language model methods for resource orchestration, admission control, and resilience in 5G and 6G open radio access networks (O-RAN). His work spans network slicing, microservice provisioning across edge-cloud systems, and LLM-empowered xApps for adaptive radio resource management.

In the news

Sep 2026

Our paper "Collaborative Cloud-Edge Computing via LLM-Guided Constrained Reinforcement Learning" was accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2026), Singapore. Congratulations Xingqi and Yuhui!

Jul 2026

Our paper "Dependency-Aware Task Offloading via Quantum Graph Attention Network-based Deep Reinforcement Learning in Collaborative Edge-Cloud Systems" was accepted in International Conference on Computer Communications and Networks (ICCCN 2026). Congratulations Xingqi and Yuhui!

Jun 2026

U.S. provisional patent application filed: "Online Detection and Containment of Disruptive User Equipment (UE) in Radio Access Networks." Inventors: X. Wu and J. Farooq (Application No. 64/080,683).

Jun 2026

Our paper "Risk-Aware Resource Orchestration in Multi-Tier 5G Edge-Cloud Networks" was accepted in Intent-Driven Network: Techniques and Applications, Springer Wireless Network Series. Congratulations Xingqi!

May 2026

Our paper "Temporally Encoded Double DQN for Proactive PRB Allocation in O-RAN Enabled Industrial Networks" was accepted in IEEE/IFIP NOMS 2026 Workshop on Resilience in Next Generation Network Management (NGResNet), Rome, Italy. Congratulations Xingqi and Elahe!

May 2026

Our paper "Delay-Aware Reinforcement Learning for O-RAN Control under Stochastic Reward Feedback" was accepted in IEEE Networking Letters. Congratulations Xingqi!

Apr 2026

Yuhui Wang and Xingqi Wu received pins at the CECS Doctoral Pinning and Recognition Ceremony, celebrating their advancement to candidacy.

Apr 2026

Lab members presented their research posters at the CECS Research Poster Competition.

Apr 2026

Our paper "Process-Informed Multi-Agent Reinforcement Learning for Joint Radio-Compute Orchestration in Industrial O-RAN" was accepted in IEEE Networking Letters. Congratulations to Xingqi and Yuhui!

Feb 2026

Our paper "PROMPTGUARD: Zero Trust Prompting for Securing LLM-Driven O-RAN Control" was accepted in Proc. NDSS 2026 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA. Congratulations Xingqi and Yuhui!

Dec 2025

Our paper "SliceWise: Traffic-Aware Multi-Agent RL with Temporal Encoding for Joint Slice Admission and Resource Orchestration in O-RAN" was accepted in IEEE Networking Letters. Congratulations Xingqi and Yuhui!

Dec 2025

Our paper "Resilient PRB Allocation for High Mobility UEs in 5G O-RAN via LSTM-Enhanced MPC" was accepted in IEEE Globecom Workshop on Resilience in Next-Generation Wireless Communication Networks (GC Wkshps 2025), Taiwan. Congratulations Xingqi and Yuxuan!

Nov 2025

Our paper "Multi-agent Resource Orchestration Based on D3QN for Network Slicing in 5G Edge-Cloud Networks" was accepted in IEEE Transactions on Network and Service Management. Congratulations Xingqi!

Oct 2025

Our paper "Poster: Triage Slicing: Online Detection and Containment of Disruptive UEs in O-RAN Slices" was accepted in 26th ACM MobiHoc 2025, Houston, TX, USA. Congratulations Xingqi and Ritesh!

Aug 2025

Poster accepted at ACM MobiHoc 2025. Congratulations Xingqi!

Jul 2025

Our paper "Reliable and Resilient Connectivity and Coverage under Localized Backhauling in UAV-IoT Networks" was accepted in IEEE Open Journal of the Communications Society. Congratulations Xingqi!

Jun 2025

Presented two papers from the group at IEEE ICC 2025 in Montreal, on URLLC admission control in O-RAN and UAV-assisted LEO satellite edge computing, with Xingqi Wu and Yuhui Wang.

Jun 2025

Paper accepted in IEEE Open Journal of the Communications Society. Congratulations Xingqi!

Jun 2025

Our paper "Coordinated UAV Deployment and Task Offloading in UAV-Assisted LEO Satellite Edge Computing Systems via Proximal Policy Optimization" was accepted in IEEE ICC 2025 Workshop on Emerging Technologies in Aerial and Space Networks, Montreal, Canada. Congratulations Xingqi and Yuhui!

Jun 2025

Our paper "Joint Admission Control and Resource Provisioning for URLLC Traffic in O-RAN: A Constrained Multi-Agent Reinforcement Learning Approach" was accepted in IEEE ICC 2025, Montreal, Canada. Congratulations Xingqi!

May 2025

Our paper "LLM-Driven Agentic AI Approach to Enhanced O-RAN Resilience in Next-Generation Networks" was accepted in IEEE INFOCOM 2025 Workshop on Resilience in Next-Generation Networks (NGResNet), London, UK. Congratulations Xingqi and Yuhui!

Feb 2025

Presented LLM-xApp, a large language model framework for adaptive radio resource management in O-RAN, at the NDSS 2025 FutureG Workshop in San Diego, with Xingqi Wu and Yuhui Wang.

Feb 2025

Our paper "LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp for 5G O-RAN" was accepted in Proc. NDSS 2025 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA. Congratulations Xingqi and Yuhui!

Journal articles

  1. 2026
    Delay-Aware Reinforcement Learning for O-RAN Control under Stochastic Reward Feedback
    X. Wu, J. Farooq, T. Li, J. Chen, and Y. Wang
    in IEEE Networking Letters
  2. 2026
    Multi-agent Resource Orchestration Based on D3QN for Network Slicing in 5G Edge-Cloud Networks
    X. Wu, J. Farooq, and J. Chen
    in IEEE Transactions on Network and Service Management, vol. 23, pp. 1766-1781
  3. 2026
    Process-Informed Multi-Agent Reinforcement Learning for Joint Radio-Compute Orchestration in Industrial O-RAN
    X. Wu, Y. Wang, J. Farooq, M. M. Butt, H. Ghazzai, and G. Setti
    in IEEE Networking Letters
  4. 2025
    ORCA: Offloading and Resource Coordination via Multi-agent Learning in Dynamic Cloud-Edge Systems
    Y. Wang, X. Wu, J. Farooq, T. Li, and J. Chen
    submitted to IEEE Transactions on Mobile Computing
  5. 2025
    Reliable and Resilient Connectivity and Coverage under Localized Backhauling in UAV-IoT Networks
    X. Wu and J. Farooq
    in IEEE Open Journal of the Communications Society, vol. 6, pp. 5795-5809
  6. 2025
    SliceWise: Traffic-Aware Multi-Agent RL with Temporal Encoding for Joint Slice Admission and Resource Orchestration in O-RAN
    X. Wu, Y. Wang, J. Farooq, H. Ghazzai, and G. Setti
    in IEEE Networking Letters, vol. 7, no. 4, pp. 323-327

Conference papers

  1. 2026
    Dependency-Aware Task Offloading via Quantum Graph Attention Network-based Deep Reinforcement Learning in Collaborative Edge-Cloud Systems
    Y. Wang, X. Wu, J. Farooq, S. Y. Chen, and J. Chen
    in International Conference on Computer Communications and Networks (ICCCN 2026)
  2. 2026
    Collaborative Cloud-Edge Computing via LLM-Guided Constrained Reinforcement Learning
    Y. Wang, X. Wu, J. Farooq, T. Li, and J. Chen
    in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2026), Singapore
  3. 2026
    PROMPTGUARD: Zero Trust Prompting for Securing LLM-Driven O-RAN Control
    Y. Wang, X. Wu, J. Farooq, and J. Chen
    in Proc. NDSS 2026 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA
  4. 2026
    Temporally Encoded Double DQN for Proactive PRB Allocation in O-RAN Enabled Industrial Networks
    E. Delavari, X. Wu, and J. Farooq
    in IEEE/IFIP NOMS 2026 Workshop on Resilience in Next Generation Network Management (NGResNet), Rome, Italy
  5. 2025
    Coordinated UAV Deployment and Task Offloading in UAV-Assisted LEO Satellite Edge Computing Systems via Proximal Policy Optimization
    Y. Wang, X. Wu, J. Farooq, and J. Chen
    in IEEE ICC 2025 Workshop on Emerging Technologies in Aerial and Space Networks, Montreal, Canada
  6. 2025
    Joint Admission Control and Resource Provisioning for URLLC Traffic in O-RAN: A Constrained Multi-Agent Reinforcement Learning Approach
    X. Wu, J. Farooq, and J. Chen
    in IEEE ICC 2025, Montreal, Canada
  7. 2025
    LLM-Driven Agentic AI Approach to Enhanced O-RAN Resilience in Next-Generation Networks
    X. Wu, Y. Wang, J. Farooq, and J. Chen
    in IEEE INFOCOM 2025 Workshop on Resilience in Next-Generation Networks (NGResNet), London, UK
  8. 2025
    LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp for 5G O-RAN
    X. Wu, J. Farooq, Y. Wang, and J. Chen
    in Proc. NDSS 2025 Workshop on Security and Privacy of Next-Generation Networks (FutureG), San Diego CA
  9. 2025
    Poster: Triage Slicing: Online Detection and Containment of Disruptive UEs in O-RAN Slices
    X. Wu, R. Honnalli, and J. Farooq
    in 26th ACM MobiHoc 2025, Houston, TX, USA
  10. 2025
    Resilient PRB Allocation for High Mobility UEs in 5G O-RAN via LSTM-Enhanced MPC
    Y. Gao, X. Wu, and J. Farooq
    in IEEE Globecom Workshop on Resilience in Next-Generation Wireless Communication Networks (GC Wkshps 2025), Taiwan
  11. 2024
    Adaptive Risk-Aware Resource Orchestration for 5G Microservices over Multi-Tier Edge-Cloud Systems
    X. Wu, J. Farooq, and J. Chen
    in IEEE ICC 2024 Workshop on Intelligent Cloud Continuum for B5G Services, Denver, CO
  12. 2024
    Multi-agent Distributed Decentralized Dynamic Resource Orchestration in 5G Edge-Cloud Networks
    X. Wu, J. Farooq, and J. Chen
    in IEEE CloudNet 2024, Rio De Janeiro, Brazil
  13. 2023
    Attack Resilient Wireless Backhaul Connectivity With Optimized Fronthaul Coverage in UAV Networks
    X. Wu and J. Farooq
    in IEEE CNS Cyber Resilience Workshop (CNS-CRW 2023), Orlando, FL

Patents

  1. 2026
    Online Detection and Containment of Disruptive User Equipment (UE) in Radio Access Networks
    X. Wu, J. Farooq
    U.S. Provisional Patent Application · Application No. 64/080,683 · University of Michigan

Other

  1. 2026
    Risk-Aware Resource Orchestration in Multi-Tier 5G Edge-Cloud Networks
    X. Wu, J. Farooq, and J. Chen
    in Intent-Driven Network: Techniques and Applications, Springer Wireless Network Series