A Study of Dynamic Multipath Clusters at 60 GHz in a Large Indoor Environment

Manijeh Bashar, Katsuyuki Haneda, Alister G. Burr, Kanapathippillai Cumanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The available geometry-based stochastic channel models (GSCMs) at millimetre-wave (mmWave) frequencies do not necessarily retain spatial consistency for simulated channels, which is essential for small cells with ultra-dense users. In this paper, we work on cluster parameterization for the COST 2100 channel model using mobile channel simulations at 61 GHz in Helsinki Airport. The paper considers a ray-tracer which has been optimized to match measurements, to obtain double-directional channels at mmWave frequencies. A joint clustering-tracking framework is used to determine cluster parameters for the COST 2100 channel model. The KPowerMeans algorithm and the Kalman filter are exploited to identify the cluster positions and to predict and track cluster positions respectively. The results confirm that the joint clustering-and-tracking is a suitable tool for cluster identification and tracking for our ray-tracer results. The movement of cluster centroids, cluster lifetime and number of clusters per snapshot are investigated for this set of ray-tracer results. Simulation results show that the multipath components (MPCs) are grouped into clusters at mmWave frequencies.

Original languageEnglish
Title of host publication2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538649206
Publication statusPublished - 2 Jul 2018
Event2018 IEEE Globecom Workshops, GC Wkshps 2018 - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Publication series

Name2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings


Conference2018 IEEE Globecom Workshops, GC Wkshps 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi

Bibliographical note

Funding Information:
The work of A. G. Burr and K. Cumanan was supported by H2020-MSCA-RISE-2015 under grant number 690750. The work on which this paper is based was carried out in collaboration with COST Action CA15104 (IRACON).

Publisher Copyright:
© 2018 IEEE.


  • Cluster identification
  • Kalman filter
  • KPowerMeans
  • millimetre wave
  • multi path components

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