Symbol-Level Precoding for Integrated Sensing and Communications: A Faster-Than-Nyquist Approach

2023/02/27 by Zihan Liao, Fan Liu, Liao, Zihan +1 · 3 citations
Engineering · #Advanced Power Amplifier Design #Advanced MIMO Systems Optimization #PAPR reduction in OFDM

paper · pdf · doi:10.48550/arxiv.2302.13757

Abstract

In this paper, we propose a novel symbol-level precoding (SLP) method for a multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system based on faster-than-Nyquist (FTN) signaling. Our method minimizes the minimum mean squared error (MMSE) for target parameter estimation while guaranteeing per-user quality-of-service by exploiting constructive interference (CI) techniques. We tackle the non-convex problem using an efficient successive convex approximation (SCA) method. Numerical results demonstrate that our FTN-ISAC-SLP design significantly outperforms conventional benchmarks in both communication and sensing performance.

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