Skip to main content

Research Repository

Advanced Search

Dual‐user joint sensing and communications with time‐divisioned bi‐static radar

Wang, Enhao; Chen, Yunfei; Ikhlef, Aissa; Sun, Hongjian

Dual‐user joint sensing and communications with time‐divisioned bi‐static radar Thumbnail


Authors

Profile image of Enhao Wang

Mr Enhao Wang enhao.wang@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

Joint sensing and communications systems have gained significant research interest by merging sensing capabilities with communication functionalities. However, few works have examined the case of multiple users. This work investigates a dual‐user joint sensing and communications system, focusing on the interference between the users that explores the optimal performance trade‐offs through a time‐division approach. Bi‐static radar setting is considered. Two typical strategies under this approach are studied: one in which both users follow the same order of communications and then sensing, and the other in which the tasks are performed in opposite order at two users. In each strategy, the sum rate and the detection probability are evaluated and optimized. The results show that the opposite order strategy offers superior performance to the same order strategy, and they also quantify their performance difference. This research highlights the potential benefits of time‐division strategies and multiple users in joint sensing and communications systems.

Citation

Wang, E., Chen, Y., Ikhlef, A., & Sun, H. (2024). Dual‐user joint sensing and communications with time‐divisioned bi‐static radar. IET Communications, 18(17), 1126-1139. https://doi.org/10.1049/cmu2.12820

Journal Article Type Article
Acceptance Date Aug 4, 2024
Online Publication Date Sep 8, 2024
Publication Date 2024-10
Deposit Date Oct 4, 2024
Publicly Available Date Oct 4, 2024
Journal IET Communications
Print ISSN 1751-8628
Electronic ISSN 1751-8636
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 18
Issue 17
Pages 1126-1139
DOI https://doi.org/10.1049/cmu2.12820
Keywords remote sensing, communication complexity, interference
Public URL https://durham-repository.worktribe.com/output/2864227

Files






You might also like



Downloadable Citations