EN-US 
ZH 
The Department of Computer Science and Engineering at Yuan Ze University achieved another outstanding accomplishment. Under the supervision of Professor Yi-Huai Hsu, master’s student Chun-Yen Li received Honorable Mention in the 2025 Best Master’s Thesis Award by the Information Society of China for his thesis titled “A Deep Reinforcement Learning-Based Coexistence Mechanism for eMBB and URLLC Services in Non-Orthogonal Multiple Access Networks.”
This achievement demonstrated not only his research strength in the fields of 6G wireless communications and artificial intelligence applications, but also highlighted Yuan Ze University’s excellence in next-generation communication network resource management and the cultivation of advanced research talent.
The Information Society of China established the Best Master’s and Doctoral Thesis Awards to encourage graduate students in Taiwan to engage in research in computer science and related fields and to recognize research achievements with academic value and innovation. Chun-Yen Li stood out among numerous outstanding theses and received Honorable Mention in the Best Master’s Thesis Award. This recognition also made Yuan Ze University one of the few private universities to receive an award this year, highlighting its strong capabilities in computer science research and talent cultivation.
Chun-Yen Li’s research focused on resource allocation in non-orthogonal multiple access (NOMA) networks and addressed how to balance the requirements of enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC) services. He formulated bandwidth and power allocation as a nonlinear programming problem and proposed an intelligent resource allocation mechanism integrating Deep Reinforcement Learning (DRL). By deploying separate eMBB and URLLC schedulers at the base station, the system was able to autonomously learn optimal strategies for bandwidth, power, and transmission resource allocation based on real-time network conditions, thereby enhancing the overall long-term network performance.
Professor Yi-Huai Hsu indicated that, compared with traditional optimization methods or heuristic algorithms, this research effectively responded to the highly dynamic and stochastic nature of network environments. It ensured fairness for high-data-rate services and reliability for low-latency services, while improving the efficiency of spectrum and power utilization. The research results provided significant academic and practical reference value for future 6G wireless communication systems, as well as for emerging applications such as intelligent transportation, industrial Internet of Things, telemedicine, and immersive communications.
When reflecting on receiving the award, Chun-Yen Li stated that earning Honorable Mention in the Best Master’s Thesis Award was the greatest encouragement in his research journey. He expressed gratitude to Professor Yi-Huai Hsu for his patient guidance, which helped him clarify research directions, develop models, and complete his thesis. The experience also enabled him to cultivate capabilities in problem analysis, system implementation, and academic communication, laying a solid foundation for his future research and professional development.
Professor Yi-Huai Hsu also encouraged students to maintain their passion for research and spirit of exploration, and to take on forward-looking research topics with both academic significance and practical value. He noted that Chun-Yen Li’s achievement was not only the result of individual effort, but also demonstrated the research strength of the Department of Computer Science and Engineering at Yuan Ze University in forward-looking fields such as 6G communications, artificial intelligence, and wireless network resource management. He expressed his expectation that more students would continue to excel on academic stages both domestically and internationally in the future.
