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
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
@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}}
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
@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},}