中文版 | English
Title

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

Author
Publication Years
2022
DOI
Source Title
ISSN
2162-2345
EISSN
2162-2345
VolumePPIssue:99Pages:1-1
Abstract
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.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First
Funding Project
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]
WOS Research Area
Computer Science ; Engineering ; Telecommunications
WOS Subject
Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS Accession No
WOS:000921004600042
Publisher
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9916293
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406137
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
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
First Author AffilicationDepartment of Electrical and Electronic Engineering
First Author's First AffilicationDepartment of Electrical and Electronic Engineering
Recommended Citation
GB/T 7714
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.
APA
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.
MLA
Guoliang Li,et al."Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection".IEEE Wireless Communications Letters PP.99(2022):1-1.
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