3 citations · 3 across the 21 of their papers we have counts for
4 papers · 1 filter
WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations
Boxun Liu, Xuanyu Liu, Shijian Gao +2
Wireless foundation models are emerging as a promising paradigm for AI-native physical-layer design. However, existing methods typically model channel state information (CSI) as im…
WiFo-E: A Scalable Wireless Foundation Model for End-to-End FDD Precoding in Communication Networks
Weibo Wen, Shijian Gao, Haotian Zhang +2
Accurate precoding in massive multiple-input multiple-output (MIMO) frequency-division duplexing (FDD) systems relies on efficient channel state information (CSI) acquisition. End-…
WiFo-MUD: Wireless Foundation Model for Heterogeneous Multi-User Demodulator
Zonghui Yang, Shijian Gao, Xuesong Cai +2
Multi-user signal demodulation is critical to wireless communications, directly impacting transmission reliability and efficiency. However, existing demodulators underperform in ge…
WiFo-M: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model
Haotian Zhang, Shijian Gao, Xiang Cheng
The emerging convergence of next-generation wireless networks and agentic artificial intelligence (AI) is inspiring a new vision: embodied intelligent network entities utilize envi…