Practical Issues and Challenges in CSI-based Integrated Sensing and Communication

Abstract

Next-generation mobile communication network (i.e., 6G) has been envisioned to go beyond classical communication functionality and provide integrated sensing and communication (ISAC) capability to enable more emerging applications, such as smart cities, connected vehicles, AIoT and health care/elder care. Among all the ISAC proposals, the most practical and promising approach is to empower existing wireless network (e.g., WiFi, 4G/5G) with the augmented ability to sense the surrounding human and environment, and evolve wireless communication networks into intelligent communication and sensing network (e.g., 6G). In this paper, based on our experience on CSI-based wireless sensing with WiFi/4G/5G signals, we intend to identify ten major practical and theoretical problems that hinder real deployment of ISAC applications, and provide possible solutions to those critical challenges. Hopefully, this work will inspire further research to evolve existing WiFi/4G/5G networks into next-generation intelligent wireless network (i.e., 6G).

Integrated Sensing and Communication Waveform Design: A Survey

“…In principle, the communication performance of CCWD methods can usually be unaffected, and almost all communication waveforms can be utilized for the target sensing when the transmit waveform is known as a priori by the receiver [31], [39], [70]. In addition, using communication waveforms for sensing seems to be endogenous, since the communication generally requires the channel state information acquired by channel estimation, which can be regarded as a type of environment sensing [74], [75]. For example, in millimeter wave massive MIMO systems, there are certain similarities in terms of channel characteristics and signal processing between communication and sensing, such that the communication channel estimation has a similar process as parameter estimation in radar sensing systems [8], [76], [77], [78], [79], [80].…”