Author
Abstract
High-precision localization, as a critical issue in sensing, shows great potential needs in the emerging 6G application scenarios such as internet of vehicles (IoV), augmented reality (AR), virtual reality (VR), unmanned aerial vehicle (UAV) communications, etc. The reconfigurable intelligent surfaces (RISs) is a set of intelligent relay nodes, which connect to large-scale communication paths. The RISs can detect the reference local information and provide higher accuracy of localization. Multi-user localization enables multiple users to be located simultaneously, reducing overall time delay. Therefore, in this paper, we propose the high-precision multi-user localization schemes for RISs-aided multi-user systems. Under the dynamic wireless commutation system, the operations of the RISs require the multi-user localization algorithm and the optimal channel parameters estimation scheme. When employing an extra-large scale scenario for localization, mobile multi-users are in the free space field of the RISs and the channel shows spatial non-stationarity, making the problem more complicated. These challenges are addressed by the proposed novel joint multi-user localization and channel estimation scheme for the massive RISs-aided multi-user systems. This paper studies the integration of communication transmission receiver and multi-user localization system, and discuss how to design the high-efficiency localization scheme through RIS control and the optimal channel estimator. Simulation results show that our proposed solution has a significant improvement in localization accuracy compared to the existing schemes.
Suggested Citation
Cun-Jia Wang & Fang-Biau Ueng, 2025.
"Novel RIS-aided joint multi-user localization and channel estimation scheme,"
Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(4), pages 1-17, December.
Handle:
RePEc:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01350-7
DOI: 10.1007/s11235-025-01350-7
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01350-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.