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Award ID contains: 2243089

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  1. ; ; ; (, IEEE)
    IEEE (Ed.)
    Not AvailableThis paper presents a Light Detection and Ranging (LiDAR) based technique for identifying non-line-of-sight (NLoS) communication paths in indoor millimeter-wave (mmWave) environments. This is achieved by using LiDAR distance and backscattered intensity measurements to i) create a map of the communication environment, and ii) identify a set of potential reflective surfaces for NLoS communication. Experimental results demonstrate that the proposed technique, which combines environmental geometry and LiDAR scatter data for ray-tracing, achieves performance comparable to traditional exhaustive search beam training methods, particularly for first-ranked (top- 1) alternative NLoS paths. This offers a promising solution for enhancing indoor mmWave communications in dynamic environments prone to line-of-sight link blockages without the need for a fully dedicated beam training stage. 
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    Free, publicly-accessible full text available January 10, 2026
  2. ; ; ; (, IEEE)
    IEEE (Ed.)
    Not AvailableIEEE 
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    Free, publicly-accessible full text available January 10, 2026
  3. ; ; (, IEEE)
    IEEE (Ed.)
    IEEE 
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    Free, publicly-accessible full text available January 10, 2026
  4. ; ; ; (, IEEE)
    Full Text Available