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Reconfigurable intelligent surface (RIS) has shown its great potential infacilitating device-based integrated sensing and communication (ISAC), wheresensing and communication tasks are mostly conducted on differenttime-frequency resources. While the more challenging scenarios of simultaneoussensing and communication (SSC) have so far drawn little attention. In thispaper, we propose a novel RIS-aided ISAC framework where the inherent locationinformation in the received communication signals from a blind-zone userequipment is exploited to enable SSC. We first design a two-phase ISACtransmission protocol. In the first phase, communication and coarse-grainedlocation sensing are performed concurrently by exploiting the very limitedchannel state information, while in the second phase, by using thecoarse-grained sensing information obtained from the first phase,simple-yet-efficient sensing-based beamforming designs are proposed to realizeboth higher-rate communication and fine-grained location sensing. Wedemonstrate that our proposed framework can achieve almost the same performanceas the communication-only frameworks, while providing up to millimeter-levelpositioning accuracy. In addition, we show how the communication and sensingperformance can be simultaneously boosted through our proposed sensing-basedbeamforming designs. The results presented in this work provide valuableinsights into the design and implementation of other ISAC systems consideringSSC.

Sensing-based Beamforming Design for Joint Performance Enhancement of RIS-Aided ISAC Systems