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.
@article{arxiv.2502.10371,
title = {CISSIR: Beam Codebooks with Self-Interference Reduction Guarantees for Integrated Sensing and Communication Beyond 5G},
author = {Rodrigo Hernangómez and Jochen Fink and Renato L. G. Cavalcante and Sławomir Stańczak},
journal= {arXiv preprint arXiv:2502.10371},
year = {2025}
}
Comments
15 Pages, 7 figures. Accepted for publication at IEEE Transactions on Wireless Communications