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20242026
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cs.IT2026

Rydberg Atomic Receivers for Multi-Band Communications and Sensing

Mingyao Cui, Qunsong Zeng, Minze Chen +4

Harnessing multi-level electron transitions, Rydberg Atomic REceivers (RAREs) can detect wireless signals across a wide range of frequency bands, from Megahertz to Terahertz. This…

cs.IT20251 cited

Realizing Quantum Wireless Sensing Without Extra Reference Sources: Architecture, Algorithm, and Sensitivity Maximization

Mingyao Cui, Qunsong Zeng, Zhanwei Wang +1

Rydberg Atomic REceivers (RAREs) have demonstrated remarkable capabilities for radio-frequency signal measurement, enabling advanced quantum wireless sensing. Existing RARE-based s…

cs.IT2025

Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G

Zhiyan Liu, Xu Chen, Hai Wu +4

Sensing and edge artificial intelligence (AI) are envisioned as two essential and interconnected functions in sixth-generation (6G) mobile networks. On the one hand, sensing-empowe…

cs.IT2025

Ultra-Low-Latency Edge Intelligent Sensing: A Source-Channel Tradeoff and Its Application to Coding Rate Adaptation

Qunsong Zeng, Jianhao Huang, Zhanwei Wang +2

The forthcoming sixth-generation (6G) mobile network is set to merge edge artificial intelligence (AI) and integrated sensing and communication (ISAC) extensively, giving rise to t…

cs.IT2024

Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence

Qunsong Zeng, Zhanwei Wang, You Zhou +3

The 6G mobile networks will feature the widespread deployment of AI algorithms at the network edge, which provides a platform for supporting robotic edge intelligence systems. In s…