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System-level simulator is designed to simulate the complicated behaviors between a large number of base stations (BSs) and user equipments (UEs) in a mobile communication system, where links between BS and UE may interfere with each other. The intricate behaviors include traffic models, scheduling algorithms, CSI feedbacks, interference managements and so on. Therefore, the network performance of a mobile system including average spectrum efficiency, traffic impact, user packet throughput, latency, fairness, etc. can be evaluated in a comprehensive way.

Nowadays, system-level simulation has been used in equipment verification, network planning, and academic research. Besides, in the international communication standard organizations including 3GPP and ITU, system-level simulation is also widely used for specification developments of next-generation wireless communication networks.

Features
3GPP high frequency channel model:

The channel model in WiSE is compliant with 3GPP TR 38.901 and ITU-R M. [IMT-2020.EVAL] specifications, and the applicable frequency range is 0.5-100 GHz. Furthermore, in order to capture the millimeter-wave characteristics of high-frequency band, the WiSE channel model supports: oxygen absorption at 53-67 GHz, blockage effect of high-frequency signals, and spatial consistency.

5G NR-MIMO technologies:

The 5G NR system makes use of massive MIMO technologies to compensate the increased radio attenuation in high-frequency bands. The WiSE simulator also supports the simulation of NR-MIMO scenarios where beam sweeping and hybrid beamforming technologies are realized with planar antenna array and back-to-back panel structure.

Simulation results validated by 3GPP calibration:

One of the most important performance metrics of a system-level simulator is the accuracy of simulation results. It can be verified through calibration campaigns held by 3GPP. So far, the WiSE simulator has already passed the 3D SCM channel model calibration specified in TR 36.873, NR high frequency channel model calibration in TR 38.901, and NR-MIMO calibration in TR 38.802.

Simulation efficiency, Modularization, Graphical User Interface Tool:

WiSE is implemented by object-oriented in C/C++ and its programming architecture is highly modularized, so it can be efficiently executed and easily used. In addition, WiSE is equipped with a GUI tool by which we can observe the simulation results and debug the simulation codes in a visual way.

Main functions
Network deployment
  • 3GPP 57 macro cells deployed with wrapped around
  • 3GPP small cell deployment
  • 3GPP indoor hotspot deployment
Antenna Model
  • cross-polarized antenna model
  • multi-panel antenna array
  • back-to-back panel structure
  • hybrid beamforming
High-frequency channel model
  • blockage effect
  • UE rotation effect
  • oxygen absorption effect
  • channel effect with spatial consistency
3D SCM channel model
  • Indoor Hotspot (InH)
  • Urban Macro (UMa)
  • Urban Micro (UMi)
  • Rural Macro (RMa)
Traffic Model
  • Full buffer
  • FTP model
  • VoIP
Scheduling method
  • Proportional fair (PF)
  • Round robin (RR)
Main functions
Network deployment
  • 3GPP 57 macro cells deployed with wrapped around
  • 3GPP small cell deployment
  • 3GPP indoor hotspot deployment
Antenna Model
  • cross-polarized antenna model
  • multi-panel antenna array
  • back-to-back panel structure
  • hybrid beamforming
High-frequency channel model
  • blockage effect
  • UE rotation effect
  • oxygen absorption effect
  • channel effect with spatial consistency
3D SCM channel model
  • Indoor Hotspot (InH)
  • Urban Macro (UMa)
  • Urban Micro (UMi)
  • Rural Macro (RMa)
Traffic Model
  • Full buffer
  • FTP model
  • VoIP
Scheduling method
  • Proportional fair (PF)
  • Round robin (RR)