Probing and deploying key wireless sensing technologies in the realm of 6G

Abstract

In an effort to implement seamless, precise, and real-time wireless sensing within indoor environments, this paper delves into the principles and applications of sensing technology grounded in indoor wireless signals. The cornerstone of this study is the comprehensive understanding of wireless signal sensing which is intrinsically composed of four major stages. Initially, signal acquisition occurs, serving as the foundation for the entire process. Subsequently, data pre-processing refines these signals, ensuring the relevance and accuracy of the information for the upcoming stages. Thereafter, the methodical process of feature extraction takes place, which provides a nuanced understanding of the signal's key characteristics. This is vital in offering clear insights into the signal's inherent traits and potential implications. Finally, classification and identification occur. This stage sorts and labels the signals based on their unique attributes, allowing for an organized and efficient analysis. Furthermore, this paper extends to analyzing three distinct application scenarios that utilize this intelligent sensing technology. The first one entails behavior recognition, which could be instrumental in understanding and predicting human activity patterns within a specific space. Another application is in passive location identification, offering a non-intrusive means to track movements and locations within an indoor setting. By investigating these applications, we aim to provide a broad understanding of the potential of indoor wireless signal-based sensing technology, and to further its development and refinement for more diverse and efficient uses.