Sensing-Augmented Off-Grid Channel Estimation With a Consistency Gate for High-Mobility Massive MIMO-OFDM – Code and Simulation Data

MATLAB simulator and simulation results for the manuscript "Sensing-Augmented Off-Grid Channel Estimation With a Consistency Gate for High-Mobility Massive MIMO-OFDM" by K. Sivakumar, T. Kaliraja, G. Elumalai, and D. Selvaraj (submitted to IEEE Transactions on Wireless Communications). The archive contains:- code/rcsa_ce.m: the complete Monte Carlo simulator (channel and sensing models, the RCSA and RCSA-S estimators, all baselines, experiments E1–E31);- code/make_paper_figures.py: redraws Figs. 2–4 of the paper from the results;- data/reference_results: the result tables and per-trial NMSE values reported in the paper, with the random-seed protocol and the computing environment. See README.md for the run instructions and for the mapping from experiments to the tables and figures of the paper. All data are synthetic (simulated). Requirements: MATLAB R2019b or later (5G Toolbox only for the 3GPP CDL experiments); optionally Python 3 with numpy, pandas, and matplotlib.