Ray Tracing Based 60 GHz Channel Clustering and Analysis in Staircase Environment

Yuqian Yang, Jian Sun, Wensheng Zhang, Cheng-Xiang Wang, Xiaohu Ge

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

7 Citations (Scopus)
84 Downloads (Pure)

Abstract

Channel modeling is of vital importance to the development and performance evaluation of wireless communication systems. Though many millimeter-wave (mmWave) channel models have been proposed, few of them concern about staircase environments. This paper analyzes the statistical characteristics of 60 GHz channels in a staircase environment with the transmitter (Tx) side fixed and the receiver (Rx) side moving, especially the variation of characteristics arising from the motion of receiver Rx. Fuzzy c-means (FCM) algorithm is applied in clustering procedure and the Kim-Park (K-P) index combined with the multipath component distance (MCD) are utilized to obtain the optimal cluster number. Simulation results show that almost all of the channel characteristics are related to the Euclidean distance between the Tx and Rx. Also, they are affected by building structures, which will provide guidance on the layout of communication devices.

Original languageEnglish
Title of host publicationGLOBECOM 2017 - 2017 IEEE Global Communications Conference
PublisherIEEE
ISBN (Electronic)9781509050192
DOIs
Publication statusPublished - 15 Jan 2018

Keywords

  • clustering
  • FCM
  • K-P index
  • mmWave
  • Ray tracing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Ray Tracing Based 60 GHz Channel Clustering and Analysis in Staircase Environment'. Together they form a unique fingerprint.

Cite this