Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection

Guoliang Li1; Shuai Wang2; Kejiang Ye2; Miaowen Wen3; Derrick Wing Kwan Ng4; Marco Di Renzo5

2022

10.1109/LWC.2022.3213883

IEEE Wireless Communications Letters   Impact Factor & Quartile

2162-2345

2162-2345

Integrated sensing and communication (ISAC) represents a paradigm shift, where previously competing wireless transmissions are jointly designed to operate in harmony via the shared use of the hardware platform for improving the spectral and energy efficiencies. However, due to adversarial factors such as fading and interference, ISAC may suffer from high sensing uncertainties. This letter presents a multi-point ISAC (MPISAC) system that fuses the outputs from multiple ISAC devices for achieving higher sensing performance by exploiting multi-view data redundancy. Furthermore, we propose to effectively explore the performance trade-off between sensing and communication via a functionality selection module that adaptively determines the working state (i.e., sensing or communication) of an ISAC device. The crux of our approach is to derive a fusion model that predicts the fusion accuracy via hypothesis testing and optimal voting analysis. Simulation results demonstrate the superiority of MPISAC over various benchmark schemes and show that the proposed approach can effectively span the trade-off region in ISAC systems.

Integrated sensing and communication multi-view fusion functionality selection

SCI

English

First

National Key Research and Development Program of China[2021YFB3300200] ; National Natural Science Foundation of China[62001203] ; Shenzhen Science and Technology Program[RCB20200714114956153] ; Guangdong Basic and Applied Basic Research Project[2021B1515120067] ; Australian Research Council[DP210102169]

Computer Science ; Engineering ; Telecommunications

Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications

WOS:000921004600042

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE

1.Department of Electrical and Electronic Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
2.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
3.School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
4.School of Electrical Engineering and Telecommunications, University of New South Wales, Australia
5.CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 3 Rue Joliot-Curie, Université Paris-Saclay, Gif-sur-Yvette, France

Guoliang Li,Shuai Wang,Kejiang Ye,et al. Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection[J]. IEEE Wireless Communications Letters,2022,PP(99):1-1.

Guoliang Li,Shuai Wang,Kejiang Ye,Miaowen Wen,Derrick Wing Kwan Ng,&Marco Di Renzo.(2022).Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection.IEEE Wireless Communications Letters,PP(99),1-1.

Guoliang Li,et al."Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection".IEEE Wireless Communications Letters PP.99(2022):1-1.