Edge Perception: Intelligent Wireless Sensing at Network Edge
Yuanhao Cui, Cao Xiaowen, Guangxu Zhu, Jiali Nie, Jie Xu
Abstract
Future sixth-generation (6G) networks are envisioned to support intelligent applications across various vertical scenarios which have stringent requirements on high-precision sensing as well as ultra-low-latency data processing and decision making. Toward this end, a new paradigm of edge perception network emerges. This network integrates wireless sensing, communication, computation, and artificial intelligence (AI) capabilities at network edge for intelligent sensing and data processing. This article provides a timely overview on this emerging topic. We commence by discussing wireless edge perception, including physical layer transceiver design, network-wise cooperation, and application-specific data analytics, for which the prospects and challenges are emphasized. Next, we discuss the interplay between edge AI and wireless sensing in edge perception, and present various key techniques for two paradigms, namely edge AI empowered sensing and task-oriented sensing for edge AI, respectively. Finally, we emphasize interesting research directions on edge perception to motivate future works.