Daniel Mawunyo Doe

Orcid: 0000-0002-7350-3990

According to our database¹, Daniel Mawunyo Doe authored at least 19 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Matching-with-Contracts for the AI-RAN Market: AIGC-as-a-Service for Teleoperation.

[BibT_eX]

[DOI]

CoRR, May, 2026

Learning to Incentivize: LLM-Empowered Contract for AIGC Offloading in Teleoperation.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2026

LLM-Enhanced Contract Design for Edge AIGC Service Provisioning in Teleoperation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2026

BSAF-Based Binary Offloading for Edge AI: Energy-Efficient Deep Learning and Spatial Computing in Mixed Reality.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2026

2025

Distributionally Robust Contract Theory for Edge AIGC Services in Teleoperation.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., November, 2025

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., August, 2025

A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms.

[BibT_eX]

[DOI]

CoRR, June, 2025

Reliable Traffic State Estimation via Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2025

2024

Harnessing Tullock Contests and Signaling Games: A Novel Weight Assignment Strategy for Ethereum 2.0.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2024

Edge-Assisted Indexing for Highly Dynamic and Static Data in Mixed Reality Connected Autonomous Vehicles.

[BibT_eX]

[DOI]

Intell. Converged Networks, 2024

Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., October, 2023

DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., October, 2023

Promoting the Sustainability of Blockchain in Web 3.0 and the Metaverse Through Diversified Incentive Mechanism Design.

[BibT_eX]

[DOI]

IEEE Open J. Comput. Soc., 2023

Incentive Mechanism Design for Mitigating Frontrunning and Transaction Reordering in Decentralized Exchanges.

[BibT_eX]

[DOI]

IEEE Access, 2023

Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Mitigate Gender Bias in Construction: Fusion of Deep Reinforcement Learning-Based Contract Theory and Blockchain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Blockchain, 2023

2022

Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2022

Daniel Mawunyo Doe

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