6G Positioning: Centimeter Accuracy with Joint Communication and Sensing
Dr. Henk Wymeersch, Dr. Gonzalo Seco-Granados
Chalmers University / Universitat Autonoma de Barcelona
Abstract
We present a 6G positioning system achieving centimeter-level accuracy by jointly exploiting communication signals and sensing returns. Our multi-band approach combines sub-6 GHz for coarse positioning with mmWave for fine refinement, using a deep learning fusion framework. Field experiments in an indoor environment demonstrate 2.3 cm median positioning error, a 10x improvement over 5G NR positioning. The system simultaneously provides communication service with negligible throughput degradation.
AI Summary
- 6G positioning achieving 2.3 cm median accuracy in indoor environments.
- Multi-band approach combining sub-6 GHz and mmWave with deep learning fusion.
- 10x improvement over 5G NR positioning accuracy.
- Simultaneous communication with negligible throughput degradation.
Key Findings
- 1Multi-band fusion reduces positioning error by 5x over single-band approaches.
- 2Deep learning handles NLOS conditions that degrade traditional positioning algorithms.
- 3Sensing-assisted positioning adds less than 2% overhead to communication resources.
Industry Implications
Enables sub-centimeter positioning for industrial automation and robotics.
Supports augmented reality applications requiring precise spatial awareness.
Reduces dependence on GPS for indoor and dense urban environments.
Read the Original Paper
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