( en | de | ru )

 

Disambiguation of "Ayepah-Mensah, Daniel"

Author of the publication

copydeleteadd this publication to your clipboard
Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach.

, , , , , and . IEEE Trans. Mob. Comput., 22 (10): 5801-5815 (October 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ayaovi Mensah

Nicholas Mensah

Moses Mensah

Mensah Agboli

Amewu Mensah

 

Other publications of authors with the same name

Cell Virtualization with Network Partition for Initial User Association in Software Defined Small-cell Networks., , , , and . KSII Trans. Internet Inf. Syst., 12 (10): 4703-4723 (2018)Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G., , , , , and . IEEE Trans. Netw. Serv. Manag., 19 (1): 216-227 (2022)Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network., , , , and . Knowl. Based Syst., (2020)Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks., , , , and . IEEE Syst. J., 16 (1): 275-286 (2022)End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs., , , , and . J. Netw. Comput. Appl., (2020)Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey., , , , , and . IEEE Commun. Mag., 61 (12): 118-124 (December 2023)Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs., , , and . IEEE Access, (2019)Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach., , , , , and . IEEE Trans. Mob. Comput., 23 (5): 3830-3845 (May 2024)Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach., , , , , and . IEEE Trans. Mob. Comput., 22 (10): 5801-5815 (October 2023)Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach., , , , and . IEEE Internet Things J., 10 (22): 20174-20187 (November 2023)