This repository contains the solution to ITU Artificial Intelligence/Machine Learning in 5G Challenge
Problem Statement: Site-Specific Channel Estimation with Hybrid MIMO Architectures (https://research.ece.ncsu.edu/ai5gchallenge/)
Members:
- Neel Kanth Kundu (nkkundu@connect.ust.hk)
- Nilesh Kumar Jha (nkjha@connect.ust.hk)
- Amartansh Dubey (adubey@connect.ust.hk)
- Download the Dataset
- Download gen_channel_ray_tracing_rev.m from https://research.ece.ncsu.edu/ai5gchallenge/#datasets
- For Training: Use line search to find L for training SNR -15dB, -10dB and 0dB by running Training.m
- First download the test data received pilots and precoder/combiner .mat files from https://research.ece.ncsu.edu/ai5gchallenge/#datasets
- Run test.mat by changing the variables Dataset_pilots = 20/40/80 and Dataset_snr = 1/2/3 to get the 9 files containing the estimated channels