IRS-Based WSN Performance Analysis Using LSTM

This code simulates an IRS-based WSN and provides insights into its system and sensor performance using synthetic data and an LSTM model.

This code simulates a wireless sensor network (WSN) with an intelligent reflecting surface (IRS) deployed in a square area. It generates synthetic sensor data, trains an LSTM model to predict system performance based on this data, and evaluates the performance using the signal-to-noise ratio (SNR). The code plots the sensor locations and the system performances as a scatter plot and a 2D histogram.