Channel Reconstruction-Based Hybrid Precoding for Millimeter Wave Multi-User MIMO Systems
Miguel R. Castellanos, Vasanthan Raghavan, Jung H. Ryu, Ozge H., Koymen, Junyi Li, David J. Love, and Borja Peleato

TL;DR
This paper introduces a novel hybrid precoding method for millimeter wave multi-user MIMO systems that reconstructs channel matrices using additional feedback, significantly improving sum rate performance over traditional approaches.
Contribution
It develops an advanced directional precoding scheme utilizing channel reconstruction and zero-forcing, with a hybrid architecture for low-cost implementation, enhancing multi-user interference mitigation.
Findings
Significant sum rate improvement over naive schemes.
Effective channel reconstruction with marginal feedback overhead.
Robust performance despite coarse initial beam alignment.
Abstract
The focus of this paper is on multi-user MIMO transmissions for millimeter wave systems with a hybrid precoding architecture at the base-station. To enable multi-user transmissions, the base-station uses a cell-specific codebook of beamforming vectors over an initial beam alignment phase. Each user uses a user-specific codebook of beamforming vectors to learn the top-P (where P >= 1) beam pairs in terms of the observed SNR in a single-user setting. The top-P beam indices along with their SNRs are fed back from each user and the base-station leverages this information to generate beam weights for simultaneous transmissions. A typical method to generate the beam weights is to use only the best beam for each user and either steer energy along this beam, or to utilize this information to reduce multi-user interference. The other beams are used as fall back options to address blockage or…
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