Characterization of Spatial-Temporal Channel Statistics from Indoor Measurement Data at D Band
<|reference_start|>Characterization of Spatial-Temporal Channel Statistics from Indoor Measurement Data at D Band: Millimeter-wave (mmWave) and D Band (110--170~GHz) frequencies are poised to play a pivotal role in the advancement of sixth-generation (6G) systems and beyond, owing to their ability to enhance performance metrics such as capacity, ultra-low latency, and spectral efficiency. This paper concentrates on deriving statistical insights into power, delay, and the number of paths based on measurements conducted across four distinct locations at a center frequency of 143.1 GHz. The findings underscore the suitability of various distributions in characterizing power behavior in line-of-sight (LOS) scenarios, including lognormal, Nakagami, gamma, and beta distributions, whereas the loglogistic distribution gives the optimal fit for power distribution in non-line-of-sight (NLOS) scenarios. Moreover, the exponential distribution shows to be the most appropriate model for the delay distribution in both LOS and NLOS scenarios. In terms of the number of paths, observations indicate a tendency for the highest concentration within the 10 m to 30 m distance range between the transmitter (Tx) and receiver (Rx). These insights shed light on the statistical nature of D band propagation characteristics, which are vital for informing the design and optimization of future 6G communication systems<|reference_end|>
@article{weragama2024characterization,
    title={Characterization of Spatial-Temporal Channel Statistics from Indoor
  Measurement Data at D Band},
    author={Chathuri Weragama, Joonas Kokkoniemi, Mar Francis De Guzman, Katsuyuki
  Haneda, Pekka Kyosti and Markku Juntti},
    journal={arXiv preprint arXiv:2403.18713},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.18713},
    primaryClass={cs.IT eess.SP math.IT}
}