Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification

@article{Yin2022MillimeterWW,
  title={Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification},
  author={Mingsheng Yin and Akshaj Kumar Veldanda and Amee Trivedi and Jeff Zhang and Kai Pfeiffer and Yaqi Hu and Siddharth Garg and Elza Erkip and Ludovic Righetti and Sundeep Rangan},
  journal={IEEE Open Journal of the Communications Society},
  year={2022},
  volume={3},
  pages={493-507}
}
The millimeter wave (mmWave) bands have attracted considerable attention for high precision localization applications due to the ability to capture high angular and temporal resolution measurements. This paper explores mmWave-based positioning for a target localization problem where a fixed target broadcasts mmWave signals and a mobile robotic agent attempts to capture the signals to locate and navigate to the target. A three-stage procedure is proposed: First, the mobile agent uses tensor… 

Wireless Channel Prediction in Partially Observed Environments

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A simple heuristic algorithm that performs ray tracing on the partial environment and then uses machine-learning trained predictors to estimate the channel and its uncertainty from features extracted from the partial ray tracing results is proposed.

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