Mohammad Farzanullah
Orcid: 0009-0004-4119-1285
According to our database1,
Mohammad Farzanullah authored at least 11 papers
between 2022 and 2026.
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Bibliography
2026
Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction.
CoRR, May, 2026
Supervised Contrastive Learning for Uncertainty-Aware Wireless Signal Analysis: A Case Study for Modulation Classification.
IEEE Trans. Commun., 2026
Multi-Modal Data-Enhanced Foundation Models for Prediction and Control in Wireless Networks: A Survey.
IEEE Commun. Surv. Tutorials, 2026
2025
Wireless Multimodal Foundation Model (WMFM): Integrating Vision and Communication Modalities for 6G ISAC Systems.
CoRR, December, 2025
Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G.
Proceedings of the 36th IEEE International Symposium on Personal, 2025
Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning.
Proceedings of the IEEE International Conference on Communications, 2025
2024
Proceedings of the 2024 IEEE Global Communications Conference, 2024
2023
Platoon Leader Selection, User Association and Resource Allocation on a C-V2X Based Highway: A Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Deep Reinforcement Learning for Joint User Association and Resource Allocation in Factory Automation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Reinforcement Learning based Multi-connectivity Resource Allocation in Factory Automation Systems.
Proceedings of the 96th Vehicular Technology Conference, 2022