3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design

Mathew K. Samimi, Theodore S. Rappaport

Research output: Contribution to journalArticlepeer-review


This paper presents a 3-D statistical channel impulse response (IR) model for urban line of sight (LOS) and non-LOS channels developed from 28- and 73-GHz ultrawideband propagation measurements in New York City, useful in the design of 5G wireless systems that will operate in both the ultra-high frequency/microwave and millimeter-wave (mmWave) spectrum to increase channel capacities. A 3GPP-like stochastic IR channel model is developed from measured power delay profiles, angle of departure, and angle of arrival power spectra. The extracted statistics are used to implement a channel model and simulator capable of generating 3-D mmWave temporal and spatial channel parameters for arbitrary mmWave carrier frequency, signal bandwidth, and antenna beamwidth. The model presented here faithfully reproduces realistic IRs of measured urban channels, supporting air interface design of mmWave transceivers, filters, and multi-element antenna arrays.

Original languageEnglish (US)
Article number7501500
Pages (from-to)2207-2225
Number of pages19
JournalIEEE Transactions on Microwave Theory and Techniques
Issue number7
StatePublished - Jul 2016


  • 28 GHz
  • 3-D ray-tracing
  • 5G
  • 73 GHz
  • Channel model
  • impulse response (IR)
  • millimeter-wave (mmWave) propagation
  • multipath
  • spatial channel model (SCM)
  • spatial lobe (SL)
  • statistical simulator
  • time cluster (TC)
  • time cluster spatial lobe (TCSL)

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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