Joint BS Selection, User Association, and Beamforming Design for Network Integrated Sensing and Communication

TL;DR

This paper proposes a joint optimization framework for base station selection, user association, and beamforming in integrated sensing and communication networks, enhancing sensing and communication performance through collaborative strategies.

Contribution

It introduces a novel joint design approach that leverages macro-diversity and collaborative sensing, optimizing power while satisfying SINR and CRLB constraints.

Findings

The proposed algorithm effectively improves sensing and communication performance.

Collaborative sensing and BS selection provide significant performance gains.

Simulation results confirm the benefits of the joint optimization approach.

Abstract

Different from conventional radar, the cellular network in the integrated sensing and communication (ISAC) system enables collaborative sensing by multiple sensing nodes, e.g., base stations (BSs). However, existing works normally assume designated BSs as the sensing nodes, and thus can't fully exploit the macro-diversity gain. In the paper, we propose a joint BS selection, user association, and beamforming design to tackle this problem. The total transmit power is minimized while guaranteeing the communication and sensing performance measured by the signal-to-interference-plus-noise ratio (SINR) for the communication users and the Cramer-Rao lower bound (CRLB) for location estimation, respectively. An alternating optimization (AO)-based algorithm is developed to solve the non-convex problem. Simulation results validate the effectiveness of the proposed algorithm and unveil the benefits brought by collaborative sensing and BS selection.