About WTDSP Lab.

Wireless Transceiver Design and Signal Processing (WTDSP) Laboratory was established at National Sun Yat-Sen University, Kaohsiung, Taiwan, in 2011 fall. The WTDSP Lab is dedicated to pioneering research in next-generation wireless communication systems and advanced signal processing. Our key focus areas include 6G wireless networks, reconfigurable intelligent surfaces (RIS/STAR-RIS), mmWave/THz MIMO-OFDM, integrated sensing and communications (ISAC), and AI/ML-aided communication algorithms.

We aim to bridge theoretical foundations and algorithmic innovation, cultivating talents who possess both strong research expertise and industrial insight. The lab is actively involved in national 6G projects and maintains collaborations with leading international universities and research institutes, providing students with diverse opportunities for academic growth and global engagement. Our current research focuses on the application of various optimization theory algorithms to next-generation communication systems:

• Green communication design

• Full-duplex systems 

• Cooperative systems

• Integrated sensing and communications design 

• Distributed optimization in parallel signal process

• Message passing signal process

• Reconfigurable intelligent surface-assisted wireless communications

• Low-orbit satellite communication systems

• Optimizing Reinforcement learning algorithm

• Model-based deep learning 

關於無線傳收設計與信號處理實驗室

本實驗室坐落於國立中山大學電資大樓EC2016，成立於2011年秋季。本實驗室專注於次世代無線通訊系統與先進訊號處理技術之研究，核心領域涵蓋6G無線通訊、可重構智慧表面（RIS/STAR-RIS）、毫米波與太赫茲MIMO-OFDM、整合感測與通訊（ISAC）、以及AI/ML輔助通訊演算法。我們致力於結合理論分析與演算法設計，培養兼具學術研究能力與產業應用視野之專業人才。實驗室積極參與多項國家級6G計畫，並與國際頂尖大學與研究機構合作，提供研究生多元的發展與交流機會。目前研究重點主要開發各種最佳化理論演算法應用於下世代通訊系統，研究主題包含

• 綠能通訊系統設計(Green communication design)

• 整合通訊與感測系統設計 (Integrated sensing and communications design) 

• 智能超表面輔助通訊系統設計 (Reconfigurable intelligent surface-assisted wireless communications)

• 全雙工系統設計 / 協力式中繼系統 (Full-duplex system / Cooperative systems)

• 應用於平行處理之分散式最佳化設計 (Distributed optimization in parallel signal process)

• 訊息傳遞訊號處理 (Message passing signal process)

• 低軌道衛星波束成型與信號偵測設計 (Low-orbit satellite communication systems)

• 增強型學習演算法優化 (Optimizing Reinforcement learning algorithm)

• 模型驅動深度學習架構 (Model-based deep learning archtecture)