5g_channel

5G NR channel model: currently only implemented pathloss (7.4.1) and LOS probability (7.4.2)

Reference

3GPP TR 38.901 V16: Study on channel model for frequencies from 0.5 to 100 GHz, Chapter 7 Channel model(s) for 0.5-100 GHz

Usage

Option 1: import all functions

const g5_channel = require('5g-channel');

g5_channel.pathloss.pathloss_rma_los(2, 400); // 2 GHz, 400m distance

g5_channel.prLos.pr_los_rma(400);

Option 2: selective import

const { pathloss_rma_los } = require('5g-channel/pathloss');

pathloss_rma_los(2, 400)

Includes: pathloss and line-of-sight probability for the following scenarios

## Rural Macro

• LOS probability: pr_los_rma(d_2d_out)
• Pathloss:
  • LOS: pathloss_rma_los(fc, d_2D, h_BS, h_UT, W, h)
  • NLOS: pathloss_rma_nlos(fc, d_2D, h_BS, h_UT, W, h)
  • Average: pathloss_rma(fc, d_2D, h_BS, h_UT, W, h)

## Urban Macro

• LOS probability: pr_los_uma(d_2d_out, h_UT)
• Pathloss:
  • LOS: pathloss_uma_los(fc, d_2D, h_BS, h_UT, h_E)
  • NLOS: pathloss_uma_nlos(fc, d_2D, h_BS, h_UT, h_E, option)
  • Average: pathloss_uma(fc, d_2D, h_BS, h_UT, h_E, option)

## Urban Micro-streen canyon

• LOS probability: pr_los_umi(d_2d_out)
• Pathloss:
  • LOS: pathloss_umi_los(fc, d_2D, h_BS, h_UT)
  • NLOS: pathloss_umi_nlos(fc, d_2D, h_BS, h_UT, option)
  • Average: pathloss_umi(fc, d_2D, h_BS, h_UT, option)

## Indoor-office (InH)

• LOS probability:
  • mixed office: pr_los_inh_mixed(d_2d_in)
  • open office: LOS probability: pr_los_inh_open(d_2d_in)
  • both types: LOS probability: pr_los_inh(type, d_2d_in)
• Pathloss:
  • LOS: pathloss_inh_los(fc, d_3D)
  • NLOS: pathloss_inh_nlos(fc, d_3D, option)
  • Average: pathloss_inh(fc, d_3D, d_2D, type, option)

## Infoor Factory (InF)

• LOS probability: pr_los_inf(type, d_2d, h_BS, h_UT, h_c, r)

• Pathloss:

  • LOS: pathloss_inf_los(fc, d_3D)
  • NLOS: pathloss_inf_nlos(fc, d_3D, type)
  • Average: pathloss_inf(fc, d_3D, h_BS, h_UT, h_c, r, type)

  ### Different types of InF

  • InF-SL (sparse clutter, low BS)
  • InF-DL (dense clutter, low BS)
  • InF-SH (sparse clutter, high BS)
  • InF-DH (dense clutter, high BS)
  • InF-HH (high Tx, high Rx)

## A top-level pathloss function for all scenarios pathloss(scenario, los, fc, h_BS, h_UT, W, h, d_2D, type, option, h_c, r)