Low-complexity Dynamic Resource Slicing for Mixed Traffics in Virtualized Radio Access Network. - Guolin Sun; Sebakara Samuel Rene Adolphe; Daniel Ayepah-Mensah (LCN, 2018)

Cell Virtualization with Network Partition for Initial User Association in Software Defined Small-cell Networks. - Guolin Sun; Li Lu; Daniel Ayepah-Mensah; Xiufen Fang; Wei Jiang 002 (KSII Trans. Internet Inf. Syst., 2018)

Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs. - Guolin Sun; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu (IEEE Access, 2019)

Dynamic Reservation and Deep Reinforcement Learning Based Autonomous Resource Slicing for Virtualized Radio Access Networks. - Guolin Sun; Zemuy Tesfay Gebrekidan; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Wei Jiang 002 (IEEE Access, 2019)

Delay-aware content distribution via cell clustering and content placement for multiple tenants. - Guolin Sun; Daniel Ayepah-Mensah; Li Lu; Wei Jiang 002; Guisong Liu (J. Netw. Comput. Appl., 2019)

Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network. - Guolin Sun; Kun Xiong; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2019)

Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs. - Guolin Sun; Tong Zhan; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu; Wei Jiang 002 (Future Gener. Comput. Syst., 2020)

End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs. - Guolin Sun; Daniel Ayepah-Mensah; Rong Xu; Gordon Owusu Boateng; Guisong Liu (J. Netw. Comput. Appl., 2020)

Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network. - Guolin Sun; Daniel Ayepah-Mensah; Anton Budkevich; Guisong Liu; Wei Jiang 002 (Knowl. Based Syst., 2020)

Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning. - Guolin Sun; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2020)

Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks. - Stephen Anokye; Daniel Ayepah-Mensah; Abegaz Mohammed Seid; Gordon Owusu Boateng; Guolin Sun (IEEE Syst. J., 2022)

Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward. - Guolin Sun; Daniel Ayepah-Mensah; Rong Xu; Victor Kwaku Agbesi; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2022)

Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G. - Gordon Owusu Boateng; Daniel Ayepah-Mensah; Daniel Mawunyo Doe; Abegaz Mohammed Seid; Guolin Sun; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2022)

Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach. - Ruijie Ou; Guolin Sun; Daniel Ayepah-Mensah; Gordon Owusu Boateng; Guisong Liu (IEEE Internet Things J., 2023)

Stackelberg game-based dynamic resource trading for network slicing in 5G networks. - Ruijie Ou; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guolin Sun; Guisong Liu (J. Netw. Comput. Appl., 2023)

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach. - Gordon Owusu Boateng; Guolin Sun; Daniel Ayepah-Mensah; Daniel Mawunyo Doe; Ruijie Ou; Guisong Liu (IEEE Trans. Mob. Comput., 2023)

Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey. - Guolin Sun; Daniel Ayepah-Mensah; Gordon Owusu Boateng; Noble Arden Elorm Kuadey; Mohamed Basher Omer; Guisong Liu (IEEE Commun. Mag., 2023)

Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things. - Daniel Ayepah-Mensah; Guolin Sun; Yu Pang; Wei Jiang 002 (CoRR, 2024)

Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G. - Daniel Ayepah-Mensah; Guolin Sun; Gordon Owusu Boateng; Stephen Anokye; Guisong Liu (IEEE/ACM Trans. Netw., 2024)

Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach. - Guolin Sun; Gordon Owusu Boateng; Liyuan Luo; Huan Chen; Daniel Ayepah-Mensah; Guisong Liu (IEEE Trans. Mob. Comput., 2024)

Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning. - Guolin Sun; Gordon Owusu Boateng; Kai Liu; Daniel Ayepah-Mensah; Guisong Liu (IEEE Trans. Veh. Technol., 2024)

Multiagent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks. - Hayla Nahom Abishu; Guolin Sun; Yasin Habtamu Yacob; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu (IEEE Internet Things J., 2025)

FeDistSlice: Federated Policy Distillation for Collaborative Intelligence in Multi-Tenant RAN Slicing. - Guolin Sun; Daniel Ayepah-Mensah; Huan Chen; Gordon Owusu Boateng; Guisong Liu (IEEE Trans. Serv. Comput., 2025)

Federated Policy Distillation for Digital Twin-Enabled Intelligent Resource Trading in 5G Network Slicing. - Daniel Ayepah-Mensah; Guolin Sun; Gordon Owusu Boateng; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2025)

FedCruise: Collaborative Cruise Guidance With Federated Policy Distillation in Multiple Ride-Hailing Platforms. - Guolin Sun; Gerald Tietaa Maale; Heng Zhang; Daniel Ayepah-Mensah; Jun Jiang (IEEE Internet Things J., 2025)

AI-Native Collaborative Content Sharing in Blockchain-Empowered UAV-Assisted D2D Networks. - Yasin Habtamu Yacob; Guolin Sun; Hayla Nahom Abishu; Daniel Ayepah-Mensah; Mohamed Basher Omer; Guisong Liu (IEEE Internet Things J., 2025)