Pinching Antenna Systems for Integrated Sensing and Communications

TL;DR

This paper introduces a novel PASS-assisted integrated sensing and communication system that employs waveguide pinching antennas and advanced optimization techniques to enhance sensing accuracy and communication performance.

Contribution

It proposes a new PASS-assisted ISAC framework with an optimization approach for joint beamforming and PA deployment, improving sensing and communication capabilities.

Findings

Achieves superior sensing and communication performance compared to benchmarks.

Less affected by strict communication constraints than traditional MIMO-ISAC.

Performance improves with more waveguides and PAs per waveguide.

Abstract

Recently, the pinching antenna system (PASS) has attracted considerable attention due to their advantages in flexible deployment and reduction of signal propagation loss. In this work, a multiple waveguide PASS assisted integrated sensing and communication (ISAC) system is proposed, where the base station (BS) is equipped with transmitting pinching antennas (PAs) and receiving uniform linear array (ULA) antennas. The full-duplex (FD) BS transmits the communication and sensing signals through the PAs on waveguides and collects the echo sensing signals with the mounted ULA. Based on this configuration, a target sensing Cramer Rao Bound (CRB) minimization problem is formulated under communication quality-of-service (QoS) constraints, power budget constraint, and PA deployment constraints. The alternating optimization (AO) method is employed to address the formulated non-convex optimization problem. In each iteration, the overall optimization problem is decomposed into a digital beamforming sub-problem and a pinching beamforming sub-problem. The sensing covariance matrix and communication beamforming matrix at the BS are optimized by solving the digital beamforming sub-problem with semidefinite relaxation (SDR). The PA deployment is updated by solving the pinching beamforming sub-problem with the successive convex approximation (SCA) method, penalty method, and element-wise optimization. Simulation results show that the proposed PASS assisted ISAC framework achieves superior performance over benchmark schemes, is less affected by stringent communication constraints compared to conventional MIMO-ISAC, and benefits further from increasing the number of waveguides and PAs per waveguide.