Privacy Preservation in MIMO-OFDM Localization Systems: A Beamforming Approach

• DOI: 10.48550/arxiv.2501.01353
• Publication Date: 2024-01-01
• Authors: Zhang, Yuchen; Chen, Hui; Keskin, Musa Furkan; Pourafzal, Alireza; Zheng, Pinjun; Wymeersch, Henk; Al-Naffouri, Tare...
• Keywords: Signal Processing (eess.SP); FOS: Computer and information sciences; Computer Science - Information Theory; Information Theory (cs.IT); FOS: Electrical engineering, electronic engineering, information engineering; Electrical Engineering and Systems Science - Signal Processing

We investigate an uplink MIMO-OFDM localization scenario where a legitimate base station (BS) aims to localize a user equipment (UE) using pilot signals transmitted by the UE, while an unauthorized BS attempts to localize the UE by eavesdropping on these pilots, posing a risk to the UE's location privacy. To enhance legitimate localization performance while protecting the UE's privacy, we formulate an optimization problem regarding the beamformers at the UE, aiming to minimize the Cramér-Rao bound (CRB) for legitimate localization while constraining the CRB for unauthorized localization above a threshold. A penalty dual decomposition optimization framework is employed to solve the problem, leading to a novel beamforming approach for location privacy preservation. Numerical results confirm the effectiveness of the proposed approach and demonstrate its superiority over existing benchmarks.<br/>This paper has been submitted to IEEE journal for possible publication<br/>