DANIEL MAWUNYO DOE
University of Houston
Research Interests
Publications
Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G
IEEE Transactions on Network and Service Management / Mar 01, 2022
Boateng, G. O., Ayepah-Mensah, D., Doe, D. M., Mohammed, A., Sun, G., & Liu, G. (2022). Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G. IEEE Transactions on Network and Service Management, 19(1), 216–227. https://doi.org/10.1109/tnsm.2021.3124046
Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach
IEEE Transactions on Mobile Computing / Oct 01, 2023
Boateng, G. O., Sun, G., Mensah, D. A., Doe, D. M., Ou, R., & Liu, G. (2023). Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Mobile Computing, 22(10), 5801–5815. https://doi.org/10.1109/tmc.2022.3190449
Promoting the Sustainability of Blockchain in Web 3.0 and the Metaverse Through Diversified Incentive Mechanism Design
IEEE Open Journal of the Computer Society / Jan 01, 2023
Doe, D. M., Li, J., Dusit, N., Gao, Z., Li, J., & Han, Z. (2023). Promoting the Sustainability of Blockchain in Web 3.0 and the Metaverse Through Diversified Incentive Mechanism Design. IEEE Open Journal of the Computer Society, 4, 171–184. https://doi.org/10.1109/ojcs.2023.3260829
Incentive Mechanism Design for Mitigating Frontrunning and Transaction Reordering in Decentralized Exchanges
IEEE Access / Jan 01, 2023
Doe, D. M., Li, J., Dusit, N., Wang, L., & Han, Z. (2023). Incentive Mechanism Design for Mitigating Frontrunning and Transaction Reordering in Decentralized Exchanges. IEEE Access, 11, 96014–96028. https://doi.org/10.1109/access.2023.3236891
Mitigate Gender Bias in Construction: Fusion of Deep Reinforcement Learning-Based Contract Theory and Blockchain
2023 IEEE International Conference on Blockchain (Blockchain) / Dec 17, 2023
Zhan, Z., Dong, Y., Doe, D. M., Hu, Y., Li, S., Cao, S., Li, W., & Han, Z. (2023, December 17). Mitigate Gender Bias in Construction: Fusion of Deep Reinforcement Learning-Based Contract Theory and Blockchain. 2023 IEEE International Conference on Blockchain (Blockchain). https://doi.org/10.1109/blockchain60715.2023.00023
Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles
2023 IEEE/CIC International Conference on Communications in China (ICCC) / Aug 10, 2023
Doe, D. M., Chen, D., Han, K., Dai, Y., Xie, J., & Han, Z. (2023, August 10). Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles. 2023 IEEE/CIC International Conference on Communications in China (ICCC). https://doi.org/10.1109/iccc57788.2023.10233627
DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks
IEEE Transactions on Intelligent Transportation Systems / Oct 01, 2023
Doe, D. M., Chen, D., Han, K., Wang, H., Xie, J., & Han, Z. (2023). DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks. IEEE Transactions on Intelligent Transportation Systems, 24(10), 11225–11237. https://doi.org/10.1109/tits.2023.3292033
High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks
ICC 2023 - IEEE International Conference on Communications / May 28, 2023
Doe, D. M., Chen, D., Han, K., Wang, H., Xie, J., & Han, Z. (2023, May 28). High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks. ICC 2023 - IEEE International Conference on Communications. https://doi.org/10.1109/icc45041.2023.10279193
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