Coordinated Power Control for Network Integrated Sensing and Communication

TL;DR

This paper proposes coordinated power control algorithms for a network integrated sensing and communication system, reducing power consumption while meeting communication and sensing performance constraints.

Contribution

It introduces two efficient algorithms based on SDR and CRLB approximation for power control in ISAC systems, addressing a non-convex optimization problem.

Findings

Significant power reduction compared to benchmark methods.

Effective joint communication and sensing performance.

Algorithms achieve high-quality solutions efficiently.

Abstract

This correspondence paper studies a network integrated sensing and communication (ISAC) system that unifies the interference channel for communication and distributed radar sensing. In this system, a set of distributed ISAC transmitters send individual messages to their respective communication users (CUs), and at the same time cooperate with multiple sensing receivers to estimate the location of one target. We exploit the coordinated power control among ISAC transmitters to minimize their total transmit power while ensuring the minimum signal-to-interference-plus-noise ratio (SINR) constraints at individual CUs and the maximum Cram\'{e}r-Rao lower bound (CRLB) requirement for target location estimation. Although the formulated coordinated power control problem is non-convex and difficult to solve in general, we propose two efficient algorithms to obtain high-quality solutions based on the semi-definite relaxation (SDR) and CRLB approximation, respectively. Numerical results show that the proposed designs achieve substantial performance gains in terms of power reduction, as compared to the benchmark with a heuristic separate communication-sensing design.