Daniel Ayepah-Mensah

Orcid: 0000-0001-9159-0509

According to our database1, Daniel Ayepah-Mensah authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach.
IEEE Trans. Mob. Comput., May, 2024

Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G.
IEEE/ACM Trans. Netw., February, 2024

2023
Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey.
IEEE Commun. Mag., December, 2023

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Mob. Comput., October, 2023

Stackelberg game-based dynamic resource trading for network slicing in 5G networks.
J. Netw. Comput. Appl., May, 2023

Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2023

2022
Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G.
IEEE Trans. Netw. Serv. Manag., 2022

Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward.
IEEE Syst. J., 2022

Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks.
IEEE Syst. J., 2022

2020
Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning.
IEEE Syst. J., 2020

Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network.
Knowl. Based Syst., 2020

End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs.
J. Netw. Comput. Appl., 2020

Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs.
Future Gener. Comput. Syst., 2020

2019
Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network.
IEEE Syst. J., 2019

Delay-aware content distribution via cell clustering and content placement for multiple tenants.
J. Netw. Comput. Appl., 2019

Dynamic Reservation and Deep Reinforcement Learning Based Autonomous Resource Slicing for Virtualized Radio Access Networks.
IEEE Access, 2019

Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs.
IEEE Access, 2019

2018
Cell Virtualization with Network Partition for Initial User Association in Software Defined Small-cell Networks.
KSII Trans. Internet Inf. Syst., 2018

Low-complexity Dynamic Resource Slicing for Mixed Traffics in Virtualized Radio Access Network.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018


  Loading...