Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911103917752320 |
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| author | Iancu, Dumitra Liu, Liang Edfors, Ove Leitinger, Erik Li, Xuhong |
| author_facet | Iancu, Dumitra Liu, Liang Edfors, Ove Leitinger, Erik Li, Xuhong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09546 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm Iancu, Dumitra Liu, Liang Edfors, Ove Leitinger, Erik Li, Xuhong Signal Processing Hardware Architecture 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. |
| title | Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm |
| topic | Signal Processing Hardware Architecture |
| url | https://arxiv.org/abs/2508.09546 |