CISSIR: Beam Codebooks with Self-Interference Reduction Guarantees for Integrated Sensing and Communication Beyond 5G

TL;DR

This paper introduces a novel beam codebook design for integrated sensing and communication that guarantees self-interference reduction, improving sensing performance with minimal impact on 5G communication.

Contribution

It presents an optimization framework for designing beam codebooks with self-interference reduction guarantees, including analytical bounds and practical design guidelines.

Findings

Significant SNR improvement for sensing

Minimal impact on 5G-NR communication

Effective self-interference reduction in ISAC systems

Abstract

We propose a beam codebook design for integrated sensing and communication (ISAC) that reduces self-interference (SI) to alleviate analog distortion. Our optimization framework, which considers either tapered beamforming or phased arrays for both analog and hybrid schemes, modifies given reference codebooks such that a certain SI power level is achieved. In contrast to other low-SI codebooks, which often rely on hardly interpretable optimization parameters, we provide design guidelines to obtain sensing performance guarantees by deriving analytical bounds on saturation and analog-to-digital quantization in relation to the multipath SI level. By selecting standard reference codebooks in our simulations, we show how our method substantially improves the signal-to-noise ratio for sensing with little impact on 5G-NR communication.