Joint Beamforming for Backscatter Integrated Sensing and Communication

TL;DR

This paper introduces a novel backscatter-ISAC system that jointly optimizes beamforming to enhance IoT communication and sensing capabilities, employing advanced algorithms to solve complex optimization problems.

Contribution

It proposes a new backscatter-ISAC system with joint beamforming design and develops algorithms to optimize performance under sensing and power constraints.

Findings

The proposed algorithms effectively improve communication rate and sensing probability.

Numerical results validate the system's effectiveness and potential in IoT applications.

The joint beamforming approach outperforms traditional methods in integrated sensing and communication.

Abstract

Integrated sensing and communication (ISAC) is a key technology of next generation wireless communication. Backscatter communication (BackCom) plays an important role for internet of things (IoT). Then the integration of ISAC with BackCom technology enables low-power data transmission while enhancing the system sensing ability, which is expected to provide a potentially revolutionary solution for IoT applications. In this paper, we propose a novel backscatter-ISAC (B-ISAC) system and focus on the joint beamforming design for the system. We formulate the communication and sensing model of the B-ISAC system and derive the metrics of communication and sensing performance respectively, i.e., communication rate and detection probability. We propose a joint beamforming scheme aiming to optimize the communication rate under sensing constraint and power budget. A successive convex approximation (SCA) based algorithm and an iterative algorithm are developed for solving the complicated non-convex optimization problem. Numerical results validate the effectiveness of the proposed scheme and associated algorithms. The proposed B-ISAC system has broad application prospect in IoT scenarios.