Cdma Workshop V3.4.1 Demo.rarl | 2026 Release |

# Windows (PowerShell) Expand-Archive -Path "Cdma Workshop V3.4.1 Demo.rarl" -DestinationPath "C:\CdmaWorkshop"

# ------------------------------------------------------------ # 6. Run the Monte‑Carlo simulation # ------------------------------------------------------------ ws.run(monte_carlo=500, progress=True)

#!/usr/bin/env python3 # ------------------------------------------------------------ # 3‑User CDMA Uplink Demo – Rayleigh fading # ------------------------------------------------------------ import cdma_workshop as cw import numpy as np Cdma Workshop V3.4.1 Demo.rarl

# ------------------------------------------------------------ # 5. Assemble the full chain # ------------------------------------------------------------ for src, spd in users: ws.add_chain([src, spd, chan])

# ------------------------------------------------------------ # 4. Receiver chain (matched filter + LMS equalizer) # ------------------------------------------------------------ rx_spd = cw.blocks.Despread(code_set) # common despreader eq = cw.blocks.Equalizer(type='LMS', step=0.01) dem = cw.blocks.Demodulator(mod='BPSK') err = cw.blocks.ErrorCounter() Receiver chain (matched filter + LMS equalizer) #

# ------------------------------------------------------------ # 1. Workspace creation # ------------------------------------------------------------ ws = cw.Workspace(name="3User_Rayleigh")

ws.add_chain([rx_spd, eq, dem, err])

# ------------------------------------------------------------ # 7. Export results # ------------------------------------------------------------ ws.export_results('3User_Rayleigh_BER.csv') ws.plot('BER_vs_SNR', export='PNG') print("Demo completed – results saved to 3User_Rayleigh_BER.csv")