Low-latency D-MIMO Localization using distributed scalable message-passing algorithm
(2025)- Abstract
- Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing localization method and architecture co-designed for a panel-based distributed MIMO system and network topology, in which interconnected units operate without centralized processing. This method jointly detects line-of-sight paths to distributed units from multipath measurements in dynamic scenarios, localizes the agent, and achieves very low... (More)
- Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing localization method and architecture co-designed for a panel-based distributed MIMO system and network topology, in which interconnected units operate without centralized processing. This method jointly detects line-of-sight paths to distributed units from multipath measurements in dynamic scenarios, localizes the agent, and achieves very low latency. Additionally, we introduce a cycle-accurate system latency model based on implemented FPGA operations, and show important insights into processing latency and hardware utilization and system-level trade-offs. We compare our method to a multipath-based localization method and show that it can achieve similar localization performance, with wide enough distribution of array elements, while offering lower latency and computational complexity. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/25ca7776-8ecd-4d9f-83b0-f0cb9dc8b152
- author
- Iancu, Dumitra
LU
; Liu, Liang
LU
; Edfors, Ove
LU
; Leitinger, Erik
and Li, Xuhong
LU
- organization
-
- LTH Profile Area: AI and Digitalization
- NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation
- Integrated Electronic Systems
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- LU Profile Area: Natural and Artificial Cognition
- Communications Engineering
- Department of Electrical and Information Technology
- publishing date
- 2025-08-12
- type
- Working paper/Preprint
- publication status
- published
- subject
- pages
- 6 pages
- DOI
- 10.48550/arXiv.2508.09546
- language
- English
- LU publication?
- yes
- id
- 25ca7776-8ecd-4d9f-83b0-f0cb9dc8b152
- date added to LUP
- 2026-01-04 23:36:31
- date last changed
- 2026-01-07 11:43:38
@misc{25ca7776-8ecd-4d9f-83b0-f0cb9dc8b152,
abstract = {{Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing localization method and architecture co-designed for a panel-based distributed MIMO system and network topology, in which interconnected units operate without centralized processing. This method jointly detects line-of-sight paths to distributed units from multipath measurements in dynamic scenarios, localizes the agent, and achieves very low latency. Additionally, we introduce a cycle-accurate system latency model based on implemented FPGA operations, and show important insights into processing latency and hardware utilization and system-level trade-offs. We compare our method to a multipath-based localization method and show that it can achieve similar localization performance, with wide enough distribution of array elements, while offering lower latency and computational complexity.}},
author = {{Iancu, Dumitra and Liu, Liang and Edfors, Ove and Leitinger, Erik and Li, Xuhong}},
language = {{eng}},
month = {{08}},
note = {{Preprint}},
title = {{Low-latency D-MIMO Localization using distributed scalable message-passing algorithm}},
url = {{http://dx.doi.org/10.48550/arXiv.2508.09546}},
doi = {{10.48550/arXiv.2508.09546}},
year = {{2025}},
}