5G Simulation Toolkit

Toolkit for design, analysis, and optimization of 5G mm-wave antenna arrays

28 GHz active antenna with 36 elements. Best achievable performance for each subarray is assessed with the Max-Gain algorithm. Highest power-density levels are found by the Maximum Exposure Evaluator algorithm.

Product description

Sim4Life 5G Toolkit provides the most efficient solution for the design, analysis, and optimization of 5G mm-wave antenna arrays. It empowers engineers to develop phased-array antennas in a short time and to meet demanding performance requirements, including regulatory compliance.

The power density algorithm is fully compliant with the latest draft of IEC/IEEE 63195, both on flat or curved surfaces.


Watch these user videos which demonstrate the phased-array antenna design workflow and Maximum Exposure Evaluator for compliance testing of next-generation mobile phones, 5G base stations, or other mmWave applications.

 Key Features

  • Maximum Exposure evaluator to find the highest value of power density that can be obtained on a given surface by a phased-array antenna
  • Compliance evaluations based on surface-averaged power density calculations
  • Total Exposure Ratio (TER) evaluator for devices that have multiple electromagnetic field emission sources to assess overall exposure by considering all sources simultaneously
  • Easy-to-use beam steering tool
  • Novel solver-enhanced phantom model technique for realistic and accurate simulations with phantoms at mmWave frequencies


  • Power density algorithm both on flat or curved surfaces fully compliant with the latest draft of IEC/IEEE 63195
  • Template-based tools for modeling of phased-array antennas
  • Dedicated intuitive modeling tools to create CAD models of phased arrays and to setup FDTD simulations
  • Efficient array-factor far-field evaluators for fast prototyping
  • MaxGain algorithm to compute the best achievable performance in each spatial direction
  • Automated setup of simulation for mmWave devices with SPEAG’s mmWave hand phantoms


  • Two-dimensional maps of spherical patterns such as gain or directivity to quantitatively determine regions with insufficient coverage
  • Direct comparison with the DASY6 results of the 5G Module
  • Compatible with circuit design software tools for analysis and further optimization of feeding network effects
  • Power density algorithm accepting input data from cDASY6/8 mmWave/ICEy mmWave/SEMCAD X
  • Import of auxiliary sources reconstructed by DASY8/6 Module mmWave V3.0+ based on measurements into Sim4Life for detailed simulations