Optimizing Placement and Power Allocation in Reconfigurable Intelligent Sensing Surfaces for Enhanced Sensing and Communication Performance

TL;DR

This paper explores the joint design of placement, power allocation, and utilization of reconfigurable intelligent sensing surfaces to improve both sensing accuracy and communication performance, demonstrating optimal configurations through numerical analysis.

Contribution

It introduces a comprehensive framework for optimizing RISS placement and power allocation, integrating sensing and communication tasks in a novel manner.

Findings

Sensing performance is maximized with a finite number of RISSs.

Communication performance improves with more RISSs and optimal placement.

An optimal communication spot is identified considering user movement.

Abstract

In this letter, we investigate the design of multiple reconfigurable intelligent sensing surfaces (RISSs) that enhance both communication and sensing tasks. An RISS incorporates additional active elements tailored to improve sensing accuracy. Our initial task involves optimizing placement of RISSs to mitigate signal interference. Subsequently, we establish power allocation schemes for sensing and communication within the system. Our final consideration involves examining how sensing results can be utilized to enhance communication, alongside an evaluation of communication performance under the impact of sensing inaccuracies. Numerical results reveal that the sensing task reaches its optimal performance with a finite number of RISSs, while the communication task exhibits enhanced performance with an increasing number of RISSs. Additionally, we identify an optimal communication spot under user movement.