19 citations · 28 across the 6 of their papers we have counts for
7 papers
Integrating Sensing and Communications in 6G? Not Until It Is Secure to Do So
Nanchi Su, Fan Liu, Jiaqi Zou +6
Integrated Sensing and Communication (ISAC) is emerging as a cornerstone technology for forthcoming 6G systems, significantly improving spectrum and energy efficiency. However, the…
Shifting the ISAC Trade-Off with Fluid Antenna Systems
Jiaqi Zou, Hao Xu, Chao Wang +5
As an emerging antenna technology, a fluid antenna system (FAS) enhances spatial diversity to improve both sensing and communication performance by shifting the active antennas amo…
Securing the Sensing Functionality in ISAC Networks: An Artificial Noise Design
Jiaqi Zou, Christos Masouros, Fan Liu +1
Integrated sensing and communications (ISAC) systems employ dual-functional signals to simultaneously accomplish radar sensing and wireless communication tasks. However, ISAC syste…
Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems
Jiaqi Zou, Songlin Sun, Christos Masouros +3
In this paper, we investigate the design of energy-efficient beamforming for an ISAC system, where the transmitted waveform is optimized for joint multi-user communication and targ…
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges
Shihang Lu, Fan Liu, Yunxin Li +11
It is anticipated that integrated sensing and communications (ISAC) would be one of the key enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for suppo…
Aiming in Harsh Environments: A New Framework for Flexible and Adaptive Resource Management
Jiaqi Zou, Rui Liu, Chenwei Wang +4
The harsh environment imposes a unique set of challenges on networking strategies. In such circumstances, the environmental impact on network resources and long-time unattended mai…
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei, Chuang Zhu, Jiaqi Zou +1
The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models. Unsupervised domain adaptation (UDA) attempts to…