2 papers
eess.SP2026
Sense Smarter, Think Better: A Survey on Edge Perception for Next-Generation Networks
Zhonghao Lyu, Xiaowen Cao, Xianxin Song +11
Edge perception has emerged as a foundational capability for future wireless networks, enabling the network edge to proactively sense, interpret, and interact with the physical env…
cs.NI2024
Personalized Federated Deep Reinforcement Learning for Heterogeneous Edge Content Caching Networks
Zhen Li, Tan Li, Hai Liu +1
Proactive caching is essential for minimizing latency and improving Quality of Experience (QoE) in multi-server edge networks. Federated Deep Reinforcement Learning (FDRL) is a pro…