3 papers
eess.SP2026
MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computation
Li Qiao, Yueqing Wang, Hanjun Jiang +4
Recent research has shown that unsourced massive access (UMA) is naturally well-suited for over-the-air computation (AirComp), as it does not require knowledge of each individual s…
cs.IT2025
Text-Guided Token Communication for Wireless Image Transmission
Bole Liu, Li Qiao, Ye Wang +4
With the emergence of 6G networks and proliferation of visual applications, efficient image transmission under adverse channel conditions is critical. We present a text-guided toke…
cs.IT2025
Generative Diffusion Model Driven Massive Random Access in Massive MIMO Systems
Keke Ying, Zhen Gao, Sheng Chen +2
Massive random access is an important technology for achieving ultra-massive connectivity in next-generation wireless communication systems. It aims to address key challenges durin…