Gordon Owusu Boateng, Ph.D.

About

I am currently an Assistant Professor in the Department of Communications and Networking at XJTLU. I received my Bachelor's degree in Telecommunications Engineering from the Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana, in 2014. I received my M.Eng. degree and Ph.D. degree in Computer Science and Technology from the University of Electronic Science and Technology of China (UESTC) in 2019 and 2023, respectively. Before joining XJTLU in April 2025, I was a Postdoctoral Researcher at the Hybrid Positioning Research Group (HPRG) at UESTC from 2023 to 2024, and a Postdoctoral Fellow at the KU 6G Research Center at Khalifa University, Abu Dhabi, UAE, from 2024 to 2025. From 2014 to 2016, I worked as a Site Engineer (contract) for Ericsson (Ghana) and TIGO (Ghana). To date, I have co-authored over 60 SCI papers in top journals, including IEEE Communications Surveys & Tutorials (COMST), IEEE Transactions on Mobile Computing (TMC), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Network and Service Management (TNSM), IEEE Transactions on Services Computing (TSC), IEEE Internet of Things Journal (IoT-J), IEEE Communications Magazine (COMMAG), and Elsevier's Journal of Network and Computer Applications (JNCA), as well as Future Generations Computer Systems (FGCS). I have also published and presented at top conference venues, including IEEE INFOCOM and IEEE GLOBECOM. I am a peer-reviewer for more than 40 IEEE, Elsevier, and ACM journals. I am also currently a Guest Editor for the Special Issue: Positioning and Sensing Technologies for Ubiquitous Mobile Intelligence at MDPI Sensors, and a Chair at the Connected and Autonomous Vehicles (CAVs): Intelligent Communications, Network, and Service Management Workshop at the 22nd International Wireless Communications & Mobile Computing (IWCMC), which will be held in Shanghai, China on 1-6 June, 2026. My research interests include 5G/6G wireless networks, Autonomous Driving (AD), Automated Valet Parking (AVP), Large Language Models (LLMs), reinforcement learning, vehicular networks, target positioning, blockchain technology, and game theory.

Prospective Students: I am seeking self-motivated students to work with me on LLM-assisted Collaborative Perception for Intelligent Parking Scheduling and Path Planning in Automated Valet Parking and Charging (AVPC) Systems; FYP and Master's students are welcome to reach out via the following email: Gordon.Boateng@xjtlu.edu.cn

News

• 02/2026 — Paper titled “A Self-Supervised Masked Autoencoder Leveraging Temporal-Frequency Representation for CSI Localization” accepted for publication in IEEE Transactions on Network Science and Engineering (TNSE).
• 01/2026 — Paper titled “AI-Native Cloud-Edge Orchestration for 6G Metaverse Networks: An LLM-Guided Multi-Agent DRL Approach” accepted for publication in Complex & Intelligent Systems.
• 12/2025 — Research fund of 100,000 RMB awarded for the project titled “LLM-assisted Collaborative Perception for Intelligent Parking Scheduling and Path Planning in AVPC Systems” by the Research Development Fund (RDF), XJTLU.
• 11/2025 — Paper titled “Cross-Scenario Foundation Localization Models: Architecture, Key Technologies, and Challenges” accepted for publication in IEEE Wireless Communications (WCM).
• 09/2025 — Paper titled “Real-Time AVPC Scheduling with Collaborative Vehicle–Infrastructure Perception and Adaptive RL” accepted at 2025 IEEE Middle East Conference on Communications (MECOM).
• 09/2025 — Paper titled “A Platform-Centric Framework for Intelligent Parking Traffic Prediction and Resource Optimization in Shared AVPC Systems” accepted for publication in IEEE Transactions on Automation Science and Engineering (T-ASE).
• 09/2025 — Paper titled “A Multi-Layer Position-Pose Fusion Framework for Joint Magnetoquasistatic Field and IMU Positioning” accepted for publication in IEEE Transactions on Mobile Computing (TMC).
• 09/2025 — Paper titled “ToF-based Indoor Localization for Harsh Environments: A Continuous Environment Sensing Framework” accepted for publication in IEEE Sensors Journal.
• 09/2025 — Paper titled “Multi-Vehicle Collaborative Trajectory Planning for AVP in Parking Lots: A Bio-inspired Evolutionary Reinforcement Learning Approach” accepted for publication in IEEE Transactions on Intelligent Transportation Systems (T-ITS).
• 09/2025 — Paper titled “A Hierarchical MAFDRL-based Resource Allocation and Incentive Mechanism for TN-NTN in 6G Networks” accepted for publication in IEEE Transactions on Mobile Computing (TMC).
• 08/2025 — Paper titled “AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs” accepted at 2025 4th International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC).
• 08/2025 — Paper titled “A RAG-assisted DRL Framework for Microservices Deployment in 6G vehicular Networks” accepted at 2025 21st International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) - Artificial Intelligence based Communications & Networking (AICN) Symposium.
• 07/2025 — Paper titled “Weakly-Supervised Crowdsourcing Localization Based on Self-Learning Spatial-Temporal Attention Network” accepted at IEEE ICCC'25 Workshops - 22 - Task-Oriented and Generative Communications for 6G.
• 06/2025 — Paper titled “A Multi-Vehicle Cooperative Localization Method for AVP Leveraging Double Deep Q-Network” accepted at IEEE World Forum on Internet of Things (WF-IoT 2025).
• 05/2025 — Paper titled “OSM2Net: A Robust Road Network Extraction Framework from Noisy Indoor Parking OpenStreetMap” accepted for publication in IEEE Internet of Things Journal (IoT-J).
• 04/2025 — Joined the Department of Communications and Networking, XJTLU as an Assistant Professor.
• 04/2025 — Paper titled “Unsupervised Localization Toward Crowdsourced Trajectory Data: A Deep Reinforcement Learning Approach” accepted for publication in IEEE Transactions on Wireless Communications (TWC).
• 04/2025 — Paper titled “A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions” accepted for publication in IEEE Communications Surveys and Tutorials (COMST).
• 03/2025 — Paper titled “Spatial Feature Topology-based Heterogeneous Knowledge Transfer Framework for Long-Term Fingerprint Positioning” accepted for publication in IEEE Transactions on Vehicular Technology (TVT Correspondence).
• 02/2025 — Paper titled “Towards On-Demand Metaverse Service Deployment in 6G Vehicular Networks Using Multimodal LLMs” accepted at IEEE INFOCOM Metaverse 2025.
• 02/2025 — Paper titled “A Contract-based Incentive Mechanism for Optimal Pricing and Allocation in Shared AVPC” accepted at IEEE INFOCOM NGResNet 2025.

Teaching at XJTLU

• SAT301 Final Year Project
• CAN201 Introduction to Networking
• CAN210 Digital Signal Processing
• SAT102 Year 2 Entrepreneurial module

Selected Publications

• I. O. Agyemang, I. Adjei-Mensah, A. A. Baffour, G. O. Boateng et al., "Structural damage detection via hierarchical damage information with volumetric assessment," in Measurement, vol. 257, Part C, 2026, 118775, doi: 10.1016/j.measurement.2025.118775.
• H. Xia, G. O. Boateng et al., "Weakly-Supervised Crowdsourcing Localization Based on Self-Learning Spatial-Temporal Attention Network," to be presented at IEEE/CIC International Conference on Communications in China, Shanghai, China, August 2025, (to appear in IEEE Xplore).
• G. O. Boateng et al., "Towards On-Demand Metaverse Service Deployment in 6G Vehicular Networks Using Multimodal LLMs," presented at IEEE INFOCOM 2025, London, UK, May 2025, (to appear in IEEE Xplore).
• G. O. Boateng et al., "A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions," in IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2025.3564333.
• G. O. Boateng, A. Erbad, A. M. Seid, M. Hamdi, X. Guo and M. Guizani, "Coalitional Game-guided Reinforcement Learning for P2P Resource Trading in Sliced IIoT Networks," in GLOBECOM 2024 - IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 644-649, doi: 10.1109/GLOBECOM52923.2024.10901263.
• G. O. Boateng, G. Sun, D. A. Mensah, D. M. Doe, R. Ou and G. Liu, "Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach," in IEEE Transactions on Mobile Computing, vol. 22, no. 10, pp. 5801-5815, 1 Oct. 2023, doi: 10.1109/TMC.2022.3190449.
• G. O. Boateng, D. Ayepah-Mensah, D. M. Doe, A. Mohammed, G. Sun and G. Liu, "Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G," in IEEE Transactions on Network and Service Management, vol. 19, no. 1, pp. 216-227, March 2022, doi: 10.1109/TNSM.2021.3124046.
• G. O. Boateng and G. Liu, "Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach," in 34th International Teletraffic Congress (ITC-34), Shenzhen, China, 2022, pp. 1-6.
• G. O. Boateng et al., "Automated Valet Parking and Charging: A Dynamic Pricing and Reservation-Based Framework Leveraging Multi-Agent Reinforcement Learning," in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3421524.
• A. M. Seid, G. O. Boateng, S. Anokye, T. Kwantwi, G. Sun and G. Liu, "Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal, vol. 8, no. 15, pp. 12203-12218, 1 Aug. 2021, doi: 10.1109/JIOT.2021.3063188.
• A. M. Seid, G. O. Boateng, B. Mareri, G. Sun and W. Jiang, "Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network," in IEEE Transactions on Network and Service Management, vol. 18, no. 4, pp. 4531-4547, Dec. 2021, doi: 10.1109/TNSM.2021.3096673.

• Kehan Chen, G. O. Boateng et al., "A Contract-based Incentive Mechanism for Optimal Pricing and Allocation in Shared Parking," presented at IEEE INFOCOM 2025, London, UK, May 2025, (to appear in IEEE Xplore).
• G. Sun, G. O. Boateng, D. Ayepah-Mensah, G. Liu and J. Wei, "Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning," in IEEE Systems Journal, vol. 14, no. 4, pp. 4694-4705, Dec. 2020, doi: 10.1109/JSYST.2020.2982857.
• G. Sun, G. O. Boateng, L. Luo, H. Chen, D. A. Mensah and G. Liu, "Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach," in IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 3830-3845, May 2024, doi: 10.1109/TMC.2023.3281203.
• G. Sun, G. O. Boateng, D. Ayepah-Mensah and G. Liu, "Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs," in IEEE Access, vol. 7, pp. 63588-63604, 2019, doi: 10.1109/ACCESS.2019.2916470.
• B. Mareri, G. O. Boateng, R. Ou, G. Sun, Y. Pang and G. Liu, "MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing," in IEEE Wireless Communications Letters, vol. 11, no. 9, pp. 1905-1909, Sept. 2022, doi: 10.1109/LWC.2022.3186529.
• G. Sun, G. O. Boateng, K. Liu, D. Ayepah-Mensah and G. Liu, "Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 12010-12025, Aug. 2024, doi: 10.1109/TVT.2024.3378968.
• X. Guo, G. O. Boateng et al., "Automated Valet Parking and Charging: A Novel Collaborative AI-Empowered Architecture," in IEEE Communications Magazine, vol. 63, no. 1, pp. 131-137, Jan. 2025, doi: 10.1109/MCOM.001.2300824.
• Y. Cao, X. Guo, G. O. Boateng et al., "OSM2Net: A Robust Road Network Extraction Framework from Noisy Indoor Parking OpenStreetMap," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2025.3569715.
• Y. Liu, H. Si, G. O. Boateng et al., "Hard Sample Meta-Learning for CIR NLOS Identification in UWB Positioning," in IEEE Internet of Things Journal, vol. 12, no. 10, pp. 14136-14149, 15 May 2025, doi: 10.1109/JIOT.2025.3525722.
• G. Sun, G. O. Boateng, D. Ayepah-Mensah and G. Liu, "Intelligent Reflecting Surface Enhanced Resource Allocation in Wireless Powered MEC Networks," in IEEE Internet of Things Journal, vol. 10, no. 14, pp. 12311-12324, July 2023, doi: 10.1109/JIOT.2022.3228153.
• H. Si, G. O. Boateng, X. Guo and N. Ansari, "Bayesian Graph Neural Networks for Indoor Localization With Uncertainty Estimation," in IEEE Internet of Things Journal, vol. 10, no. 23, pp. 20960-20973, 1 Dec. 2023, doi: 10.1109/JIOT.2023.3284547.

• G. Sun, H. Al-Ward, G. O. Boateng and W. Jiang, "Content-Aware Caching in SDN-Enabled Virtualized Wireless D2D Networks to Reduce Visiting Latency," 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Chengdu, China, 2018, pp. 149-150, doi: 10.1109/MASS.2018.00032.
• G. Sun, H. Al-Ward, G. O. Boateng and G. Liu, "Autonomous Cache Resource Slicing and Content Placement at Virtualized Mobile Edge Network," IEEE Access, vol. 7, pp. 84727-84743, 2019, doi: 10.1109/ACCESS.2019.2923021.
• D. Ayepah-Mensah, G. Sun, G. O. Boateng and G. Liu, "Federated Policy Distillation for Digital Twin-Enabled Intelligent Resource Trading in 5G Network Slicing," IEEE Transactions on Network and Service Management, vol. 22, no. 1, pp. 361-379, Feb. 2025, doi: 10.1109/TNSM.2024.3476480.
• D. Ayepah-Mensah, G. Sun, G. O. Boateng, S. Anokye and G. Liu, "Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G," IEEE/ACM Transactions on Networking, vol. 32, no. 1, pp. 654-669, Feb. 2024, doi: 10.1109/TNET.2023.3297390.
• G. Sun, K. Liu, G. O. Boateng, G. Liu and W. Jiang, "Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning," IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3574-3585, 1 March 2022, doi: 10.1109/JIOT.2021.3098779.
• S. R. A. Sebakara, G. Sun, G. O. Boateng, B. Mareri, R. Ou and G. Liu, "SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network," IEEE Transactions on Vehicular Technology, vol. 72, no. 7, pp. 9069-9084, July 2023, doi: 10.1109/TVT.2023.3249052.
• G. Sun, Z. T. Gebrekidan, G. O. Boateng, D. Ayepah-Mensah and W. Jiang, "Dynamic Reservation and Deep Reinforcement Learning Based Autonomous Resource Slicing for Virtualized Radio Access Networks," IEEE Access, vol. 7, pp. 45758-45772, 2019, doi: 10.1109/ACCESS.2019.2909670.
• G. Sun, K. Xiong, G. O. Boateng, D. Ayepah-Mensah, G. Liu and W. Jiang, "Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network," IEEE Systems Journal, vol. 13, no. 3, pp. 2454-2465, Sept. 2019, doi: 10.1109/JSYST.2019.2918005.
• K. Xiong, S. Samuel Rene Adolphe, G. O. Boateng, G. Liu and G. Sun, "Dynamic Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network," IEEE Access, vol. 7, pp. 115440-115453, 2019, doi: 10.1109/ACCESS.2019.2935606.
• A. M. Seid, H. N. Abishu, G. O. Boateng, A. Erbad, M. Hamdi and M. Guizani, "Resource Allocation and QoE Maximization in Aerial MEC-empowered Metaverse Service: A CCM-Multi-agent DRL approach," GLOBECOM 2024 - IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 608-613, doi: 10.1109/GLOBECOM52923.2024.10901198.

• H. Si, X. Guo, G. O. Boateng, Y. Yang and N. Ansari, "Spatial Feature Topology-Based Heterogeneous Knowledge Transfer Framework for Long-Term Fingerprint Positioning," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2025.3555656.
• B. Qian, X. Guo, G. O. Boateng et al., "Magnetoquasistatic Positioning: Recent Advances, Applications, Potential Solutions, and Future Prospects," in IEEE Internet of Things Journal, vol. 12, no. 6, pp. 6250-6274, 15 March 2025, doi: 10.1109/JIOT.2024.3521084.
• G. Sun, D. Ayepah-Mensah, H. Chen, G. O. Boateng and G. Liu, "FeDistSlice: Federated Policy Distillation for Collaborative Intelligence in Multi-Tenant RAN Slicing," in IEEE Transactions on Services Computing, vol. 18, no. 1, pp. 184-197, Jan.-Feb. 2025, doi: 10.1109/TSC.2024.3517334.
• H. Si, X. Hou, J. Wang, G. O. Boateng, Z. Zhang and X. Guo, "Unsupervised Localization Toward Crowdsourced Trajectory Data: A Deep Reinforcement Learning Approach," in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2025.3563766.
• S. Anokye, D. Ayepah-Mensah, A. M. Seid, G. O. Boateng and G. Sun, "Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks," in IEEE Systems Journal, vol. 16, no. 1, pp. 275-286, March 2022, doi: 10.1109/JSYST.2021.3082837.
• R. Ou, G. Sun, D. Ayepah-Mensah, G. O. Boateng and G. Liu, "Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal, vol. 10, no. 22, pp. 20174-20187, 15 Nov. 2023, doi: 10.1109/JIOT.2023.3283553.

Services

• Editorial Board Member
  • Guest Editor for the Special Issue: Positioning and Sensing Technologies for Ubiquitous Mobile Intelligence at MDPI Sensors.
• Journal Reviewer
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE Transactions on Vehicular Technology (TVT)
  • IEEE Journal on Selected Areas in Communications (JSAC)
  • IEEE Networking Letters
  • IEEE Transactions on Intelligent Transportation Systems (T-ITS)
  • IEEE Internet of Things Journal (IoT-J)
  • IEEE Network Magazine
  • IEEE Selected Areas in Signal Processing
  • IEEE Transactions on Green Communication and Networking (TGCN)
  • IEEE Vehicular Technology Magazine (VTM)
  • Journal of Network and Computer Applications (JNCA)
  • IEEE Systems Journal
  • IEEE Transactions on Network Science Engineering (TNSE)
  • IEEE Open Journal of the Communication Society (OJCOMS)
  • IEEE Transactions on Consumer Electronics
  • ACM Transactions on Internet Technology (TOIT)
  • IEEE Communications Standards Magazine
  • Engineering Applications of Artificial Intelligence (EAAI)
  • ACM Journal on Autonomous Transportation Systems (JATS)
  • IEEE Consumer Electronics Magazine
  • China Communications (CNCOMM)
  • IEEE Computer

Awards & Honors

• Khalifa University Teaching Certificate Course for PostDocs (Fall 2024).
• Huawei HCIA-5G Course (cert. no. EBGTC00000410MOOc202109033968).
• The Bits and Bytes of Computer Networking (cert. no. VQYZLMDM46N3).
• Python Data Structures (cert. no. TT4BRYU9U9SL).
• Operating Systems and You; Becoming a Power User (cert. no. GSB5GP68FGZK).
• Google Technical Support Fundamentals Certificate (cert. no. JXU3V33ACS2E).
• Blockchain Basics Certificate (cert. no. BXPTJHGDYWMM).
• Smart Contracts (cert. no. 8K75B9PGBEFM).
• Programming for Everybody (Getting Started with Python) (cert. no. 9ZBJMYA286BV).
• Publons Academy Practical Peer Review Course.
• UESTC International Students’ Academic Achievement Awards 2022, First Prize.
• UESTC International Students’ Academic Achievement Awards 2020, First Prize.
• UESTC International Students’ Academic Achievement Awards 2018, First Prize.

Professional Membership

• Institute of Electrical and Electronics Engineers (IEEE) – Member
• Association for Computing Machinery (ACM) – Professional Membership

Research Team

I am the leader of the Mobility Systems (MobiSys) Research Team at XJTLU. The team currently consists of 5 undergraduate students as follows:

• Jingying Gu - Undergraduate (Year 4)
• Yiwei Yang - Undergraduate (Year 4)
• Lijia Liu - Undergraduate (Year 4)
• Haiqi Shen - Undergraduate (Year 4)
• Zhenyang Zhang - Undergraduate (Year 4)

Contact

Email:
boatenggordon48@gmail.com
Gordon.Boateng@xjtlu.edu.cn
Gordon.Boateng@liverpool.ac.uk

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