Low-latency D-MIMO Localization using Distributed Scalable Message-Passing Algorithm
🤖 AI Summary
Distributed MIMO systems face challenges in achieving low-latency, high-accuracy, and scalable localization. Method: This paper proposes a decentralized message-passing localization architecture that jointly detects line-of-sight paths and fuses multipath measurements—without requiring a central node. It introduces a lightweight distributed message-passing algorithm to co-optimize system latency and hardware resource utilization, and establishes an FPGA-cycle-accurate latency model. Contribution/Results: The key innovation lies in joint modeling of network topology, signal processing, and hardware implementation, enabling perception-communication integration in dynamic environments. Experiments demonstrate that, with sufficiently distributed antenna elements, the method achieves localization accuracy comparable to conventional multipath-based approaches, reduces processing latency by 57%, significantly lowers computational complexity, and validates scalability and real-time performance on a physical FPGA platform.
Application Category
📝 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 differ- ent 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 com- pare 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.
Problem
Research questions and friction points this paper is trying to address.
Develop low-latency localization for distributed MIMO systems
Enable scalable message-passing without centralized processing
Achieve accurate localization with low computational complexity
Innovation
Methods, ideas, or system contributions that make the work stand out.
Scalable message-passing for D-MIMO localization
Joint LOS detection and agent localization
FPGA-based cycle-accurate latency modeling
🔎 Similar Papers
No similar papers found.
