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
|
Volume | PPIssue: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 url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9916293 |
Citation statistics |
Cited Times [WOS]:0
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406137 |
Department | Department 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 Affilication | Department of Electrical and Electronic Engineering |
First Author's First Affilication | Department 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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