From the 1 of 7 linked papers with an AI index.
7 papers
Near-Field Communications with Grating Lobes for Quasi-Distributed Arrays: From ULA to MRA
Mingyuan Zhou, Zhuo Xu, Linglong Dai
Extremely large-scale antenna array (ELAA) has emerged as a common feature of many key candidate technologies for 6G, where the near-field characteristics become dominant. The quas…
FM-Receiver: A Foundation Model Enabled Unified Inner and Outer Neural Receiver Towards AI-Native Wireless Communications
Tianyue Zheng, Chao Jiang, Linglong Dai
The paper introduces FM-Receiver, a unified neural receiver that leverages a foundation model to jointly perform outer and inner decoding of wireless signals, enabling end‑to‑end A…
MUSE-FM: Multi-task Environment-aware Foundation Model for Wireless Communications
Tianyue Zheng, Jiajia Guo, Linglong Dai +2
Recent advancements in foundation models (FMs) have attracted increasing attention in the wireless communication domain. Leveraging the powerful multi-task learning capability, FMs…
AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
Wentao Yu, Hengtao He, Shenghui Song +4
This study explored the transformative potential of artificial intelligence (AI) in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output (UM-MI…
Empowering Near-Field Communications in Low-Altitude Economy with LLM: Fundamentals, Potentials, Solutions, and Future Directions
Zhuo Xu, Tianyue Zheng, Linglong Dai
The low-altitude economy (LAE) is gaining significant attention from academia and industry. Fortunately, LAE naturally aligns with near-field communications in extremely large-scal…
Advancing Ubiquitous Wireless Connectivity through Channel Twinning
Yashuai Cao, Linglong Dai, Jingbo Tan +5
As an emerging trend in channel acquisition (CA), the concept of channel twinning (CT) has been proposed as a powerful enabler of ubiquitous connectivity in next-generation (xG) wi…