Abstract:

To connect intelligent in 6G, it is necessary to obtain and utilize information from the environment through sensing technologies. Channel reconstruction information can be obtained by using environmental knowledge provided by sensing, which helps to improve communication efficiency. 6G will integrate communication and sensing into a system. However, there are still some key challenges in implementing the integrated sensing and communication (ISAC) technology, such as air interface design, joint waveform optimization, hardware distortion and sharing. This paper studies environment reconstruction in multiple-transmission/reception point(multi-TRP) sensing scenarios enabled by ISAC networks. It proposes a multi-TRP and multi-static sensing architecture based on the scattering group assumption. Then, it introduces a scattering group tracking scheme to reconstruct the parameters and states of the communication channel. Finally, through verification of measured data, it can achieve decimeter-level sensing accuracy and degree-level channel reconstruction.

Key words: integrated sensing and communication, multi-TRP sensing, sensing assisted communication, 6G