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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…
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…
Resource Management for Low-latency Cooperative Fine-tuning of Foundation Models at the Network Edge
Hai Wu, Xu Chen, Kaibin Huang
The emergence of large-scale foundation models (FoMo's) that can perform human-like intelligence motivates their deployment at the network edge for devices to access state-of-the-a…
Beamforming Design for Semantic-Bit Coexisting Communication System
Maojun Zhang, Guangxu Zhu, Richeng Jin +4
Semantic communication (SemCom) is emerging as a key technology for future sixth-generation (6G) systems. Unlike traditional bit-level communication (BitCom), SemCom directly optim…
On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI
Xu Chen, Khaled B. Letaief, Kaibin Huang
Sensing and edge artificial intelligence (AI) are two key features of the sixth-generation (6G) mobile networks. Their natural integration, termed Integrated sensing and edge AI (I…