Compressed Channel Estimation for 5G NR over Millimeter-Wave Spectrum

In this paper, a compressed sensing based channel acquisition is proposed for beyond 5G systems where the singlecarrier waveform is used over the millimeter wave spectrum. The key idea of the proposed technique, 2-dimensional compressed channel recovery (2D-CCR), is to estimate channel impulse response based on randomly selected time-domain pilot samples transmitted in a localized portion of the bandwidth. As a result of 2D-CCR, channel information of full bandwidth can be acquired from compressed sensing without having to take the measurement on the entire bandwidth. From the numerical evaluations, it is observed that the proposed scheme outperforms conventional channel estimation schemes in terms of estimation accuracy.