Power consumption Reduction in ELAA-Assisted ISAC Systems

TL;DR

This paper proposes an energy-efficient subarray activation framework for ELAA-assisted ISAC systems, optimizing power consumption while ensuring sensing and communication quality.

Contribution

It introduces a novel optimization approach using SCA to select subarrays, reducing power consumption in ELAA-based ISAC systems.

Findings

Significant power reduction achieved with the proposed method

Maintains sensing and communication performance levels

Optimization algorithm converges effectively in simulations

Abstract

In this paper, we consider power consumption reduction in extremely large antenna arrays (ELAAs) for integrated sensing and communication (ISAC) applications. Although ELAAs are critical for achieving high-resolution near-field sensing, fully activating all antenna elements in conventional digital architectures leads to prohibitive power demands. To address this, we propose an energy-efficient subarray activation framework that selects an optimal subset of subarrays to minimize the total power consumption, subject to quality-of-service (QoS) constraints for both sensing and communication. We formulate a novel optimization problem and solve it using a successive convex approximation (SCA)-based iterative algorithm. The simulation results confirm that the proposed method significantly reduces power consumption while maintaining dual-function performance.