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arXiv · 2601.21010

Power consumption Reduction in ELAA-Assisted ISAC Systems

Xiaomin Cao·Mohammadali Mohammadi·Hien Quoc Ngo·Michail Matthaiou
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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.

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Xiaomin Cao, Mohammadali Mohammadi, Hien Quoc Ngo, Michail Matthaiou. 2026-01-28. Power consumption Reduction in ELAA-Assisted ISAC Systems. https://arxiv.org/abs/2601.21010

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