12 papers
Phase-Aware Localization in Pinching Antenna Systems: CRLB Analysis and ML Estimation
Hao Feng, Ebrahim Bedeer, Ming Zeng +3
Pinching antenna systems (PASS) have emerged as a promising architecture for high-frequency wireless communications. In this letter, we investigate user localization in PASS by joi…
Recent Advances in Near-Field Beam Training and Channel Estimation for XL-MIMO Systems
Ming Zeng, Ji Wang, Wanming Hao +3
Extremely large-scale multiple-input multiple-output (XL-MIMO) is a key technology for next-generation wireless communication systems. By deploying significantly more antennas than…
Integration of TinyML and LargeML: A Survey of 6G and Beyond
Thai-Hoc Vu, Ngo Hoang Tu, Thien Huynh-The +4
The evolution from fifth-generation (5G) to sixth-generation (6G) networks is driving an unprecedented demand for advanced machine learning (ML) solutions. Deep learning has alread…
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning
Thanh Linh Nguyen, Dinh Thai Hoang, Diep N. Nguyen +1
Critical learning periods (CLPs) in federated learning (FL) refer to early stages during which low-quality contributions (e.g., sparse training data availability) can permanently i…
Agentic Design Patterns: A System-Theoretic Framework
Minh-Dung Dao, Quy Minh Le, Hoang Thanh Lam +4
With the development of foundation model (FM), agentic AI systems are getting more attention, yet their inherent issues like hallucination and poor reasoning, coupled with the freq…
Efficient STAR-RIS Mode for Energy Minimization in WPT-FL Networks with NOMA
MohammadHossien Alishahi, Ming Zeng, Paul Fortier +5
With the massive deployment of IoT devices in 6G networks, several critical challenges have emerged, such as large communication overhead, coverage limitations, and limited battery…