Hybrid TRP-UE Sensing for Enhanced Target Localization
It addresses the need for accurate passive target localization in ISAC networks, particularly in difficult propagation conditions.
The paper introduces a hybrid TRP-UE sensing mechanism for ISAC networks, improving target localization accuracy in challenging environments like indoor factories, with evaluation using 3GPP-compliant channel models.
Integrated Sensing and Communication (ISAC) refers to the capability for the network to provide communications services whilst also being able to sense the environment in a scalable manner. One of the key functions of ISAC is the accurate localization of passive and mobile sensing targets. This paper introduces a novel hybrid TRP-UE sensing mechanism that improves network-based sensing performance. Evaluation results are provided using 3GPP-compliant ISAC channel models. The results demonstrate the significant benefit in complimenting TRP-based sensing with UE-assisted sensing in challenging propagation environments such as indoor factory.