no code implementations • 1 Feb 2024 • Tongyang Xu, Zhongxiang Wei, Tianhua Xu, Gan Zheng
In this paper, we propose a multi-carrier based multi-band waveform-defined security (WDS) framework, independent from CSI and RF chains, to defend against AI eavesdropping.
no code implementations • 15 Oct 2023 • Zhongxiang Wei, Ping Wang, Qingjiang Shi, Xu Zhu, Christos Masouros
This requires multistage optimization for full resource domain dynamic programming.
no code implementations • 16 Nov 2021 • Haiyong Zeng, Xu Zhu, Yufei Jiang, Zhongxiang Wei, Sumei Sun
To the best of our knowledge, this is the first work to explicitly investigate joint UL-DL optimization for UAV assisted systems under heterogeneous requirements.
no code implementations • 18 Sep 2021 • Zhongxiang Wei, Christos Masouros, H. Vincent Poor, Athina P. Petropulu, Lajos Hanzo
In contrast to traditional security and privacy designs that aim to prevent confidential information from being eavesdropped upon by adversaries, or learned by unauthorized parties, in this paper we consider designs that mask the users' identities during communication, hence resulting in anonymous communications.
no code implementations • 16 Jul 2021 • Zhongxiang Wei, Fan Liu, Christos Masouros, Nanchi Su, Athina P. Petropulu
At the same time, the sensing capability incorporated in the ISAC transmission offers unique opportunities to design secure ISAC techniques.
no code implementations • 10 Jul 2021 • Nanchi Su, Fan Liu, Zhongxiang Wei, Ya-Feng Liu, Christos Masouros
We study security solutions for dual-functional radar communication (DFRC) systems, which detect the radar target and communicate with downlink cellular users in millimeter-wave (mmWave) wireless networks simultaneously.
no code implementations • 8 Jun 2021 • Nanchi Su, Zhongxiang Wei, Christos Masouros
This paper addresses the problem that designing the transmit waveform and receive beamformer aims to maximize the receive radar SINR for secure dual-functional radar-communication (DFRC) systems, where the undesired multi-user interference (MUI) is transformed to useful power.