publications

2026

1. ICC

   Deep Reinforcement Learning-Based Dynamic Resource Allocation in Cell-Free Massive MIMO

   Phuong Nam Tran, Nhan Thanh Nguyen, Hien Quoc Ngo, and 1 more author

   In IEEE International Conference on Communications (ICC) 2026, 2026

   Bib

   @inproceedings{tran2026deep,
     title = {Deep Reinforcement Learning-Based Dynamic Resource Allocation in Cell-Free Massive MIMO},
     year = {2026},
     url = {https://arxiv.org/abs/2601.13934},
     booktitle = {IEEE International Conference on Communications (ICC) 2026},
     author = {Tran, Phuong Nam and Nguyen, Nhan Thanh and Ngo, Hien Quoc and Juntti, Markku},
     organization = {IEEE},
   }

2025

1. Asilomar

   Deep Reinforcement Learning for Hybrid RIS Assisted MIMO Communications

   Phuong Nam Tran, Nhan Thanh Nguyen, and Markku Juntti

   In Asilomar Conference on Signals, Systems, and Computers, 2025

   Bib

   @inproceedings{tran2025deep,
     title = {Deep Reinforcement Learning for Hybrid RIS Assisted MIMO Communications},
     year = {2025},
     url = {},
     booktitle = {Asilomar Conference on Signals, Systems, and Computers},
     author = {Tran, Phuong Nam and Nguyen, Nhan Thanh and Juntti, Markku},
     organization = {IEEE},
   }

2. WCNC

   Deep Complex-valued Convolutional Learning for Waveform OFDM Receiver Design

   Jiequ Ji, Nam Phuong Tran, Zehui Xiong, and 2 more authors

   In IEEE Wireless Communications and Networking Conference (WCNC) 2025, 2025

   Bib

   @inproceedings{ji2025deep,
     title = {Deep Complex-valued Convolutional Learning for Waveform OFDM Receiver Design},
     author = {Ji, Jiequ and Tran, Nam Phuong and Xiong, Zehui and Zhu, Kun and Quek, Tony QS},
     booktitle = {IEEE Wireless Communications and Networking Conference (WCNC) 2025},
     pages = {1--6},
     year = {2025},
     organization = {IEEE},
   }

3. ComNet

   Joint content popularity and audience retention-aware live streaming over RSMA edge networks

   Fayshal Ahmed, The-Vinh Nguyen, Nam-Phuong Tran, and 2 more authors

   Computer Networks, 2025

   Bib

   @article{ahmed2025joint,
     title = {Joint content popularity and audience retention-aware live streaming over RSMA edge networks},
     author = {Ahmed, Fayshal and Nguyen, The-Vinh and Tran, Nam-Phuong and Dao, Nhu-Ngoc and Cho, Sungrae},
     journal = {Computer Networks},
     pages = {111301},
     year = {2025},
     publisher = {Elsevier}
   }

2024

1. J.IoT

   Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems

   Nam-Phuong Tran, Thanh Phung Truong, Quang Tuan Do, and 2 more authors

   Internet of Things, 2024

   Abs DOI Bib

   In the context of the increasing demand for Internet of Multimedia Things (IoMT) services, rate splitting multiple access (RSMA) and intelligent reflecting surface (IRS) technologies have been considered potential networking enablers to provide ultra-throughput wireless access. However, challenges arise due to the heterogeneity of IoMT devices and arbitrary network quality changes, resulting in unwanted service quality fluctuations and downgradation. This study addresses this problem by jointly optimizing wireless resource allocation and bitrate adaptation with Deep Reinforcement Learning (DRL)-based QoE management for IRS-aided RSMA-enabled IoMT streaming systems. We formulated the problem as a Markov decision process (MDP) and apply Proximal Policy Optimization (PPO) method to flexibly adjust IoMT bitrate, transmission beamforming, IRS phase shift, and RSMA parameters. As a result, our algorithm mitigates overestimation of client-side bandwidth, leading to smoother playback and reduced quality fluctuations. Simulations show that our approach outperforms baseline methods in terms of video resolution (up to 2.5 times) and achievable sum-rate (up to 50%), contributing to a superior streaming experience in IoMT systems.

   @article{tran2024joint,
     title = {Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems},
     journal = {Internet of Things},
     publisher = {Elsevier},
     volume = {25},
     pages = {101145},
     year = {2024},
     doi = {https://doi.org/10.1016/j.iot.2024.101145},
     url = {https://www.sciencedirect.com/science/article/pii/S2542660524000878},
     author = {Tran, Nam-Phuong and Truong, Thanh Phung and Do, Quang Tuan and Dao, Nhu-Ngoc and Cho, Sungrae},
     keywords = {Quality of experience, Internet of Multimedia Things, Bitrate adaptation, IRS-aided RSMA, Proximal policy optimization},
   }

2022

1. ICTC

   Privacy-preserving learning models for communication: A tutorial on advanced split learning

   Nam-Phuong Tran, Nhu-Ngoc Dao, The-Vi Nguyen, and 1 more author

   In 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), 2022

   Bib

   @inproceedings{tran2022privacy,
     title = {Privacy-preserving learning models for communication: A tutorial on advanced split learning},
     author = {Tran, Nam-Phuong and Dao, Nhu-Ngoc and Nguyen, The-Vi and Cho, Sungrae},
     booktitle = {2022 13th International Conference on Information and Communication Technology Convergence (ICTC)},
     pages = {1059--1064},
     year = {2022},
     organization = {IEEE}
   }

2. MobiHoc

   Delay-constrained quality maximization in RSMA-based video streaming networks

   Anh-Tien Tran, Demeke Shumeye Lakew, Nam-Phuong Tran, and 2 more authors

   In Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 2022

   Bib

   @inproceedings{tran2022delay,
     title = {Delay-constrained quality maximization in RSMA-based video streaming networks},
     author = {Tran, Anh-Tien and Lakew, Demeke Shumeye and Tran, Nam-Phuong and Dao, Nhu-Ngoc and Cho, Sungrae},
     booktitle = {Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing},
     pages = {276--280},
     year = {2022}
   }