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arXiv · 2609.33139

Communication-Centric Symbol-Level Precoding for Fronthaul-Limited Networked ISAC

Shu Cai·Amin Li·Yiming Zhang·Jun Zhang·Qi Zhang·Ya-Feng Liu
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Abstract

This paper studies communication-centric symbol-level precoding (SLP) for fronthaul-limited networked integrated sensing and communication (ISAC). SLP is attractive for exploiting constructive interference, but its data-dependent nature makes fronthaul-aware waveform design difficult because the transmit covariance used in conventional linear-precoding compression models is unavailable before the symbol block is formed. To address this issue, we develop a compression-aware SLP framework that relates the fronthaul requirement to the realized block energy. We further formulate a sensing-oriented joint design. To solve the resulted high-dimensional and nonconvex problem, we propose a tractable lower-bound method with a performance bound. Simulations show that the proposed SLP scheme improves sensing performance over linear-beamforming baselines under fronthaul constraints.

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Shu Cai, Amin Li, Yiming Zhang, Jun Zhang, Qi Zhang, Ya-Feng Liu. 2026-09-27. Communication-Centric Symbol-Level Precoding for Fronthaul-Limited Networked ISAC. https://arxiv.org/abs/2609.33139

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