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.
Cite
@article{arxiv.2601.21010,
title = {Power consumption Reduction in ELAA-Assisted ISAC Systems},
author = {Xiaomin Cao and Mohammadali Mohammadi and Hien Quoc Ngo and Michail Matthaiou},
journal= {arXiv preprint arXiv:2601.21010},
year = {2026}
}