Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems
Po-Heng Chou, Jia-Qing Lin, Wan-Jen Huang, Ronald Y. Chang

TL;DR
This paper introduces a feedback-efficient hybrid precoding framework for wideband mmWave MIMO-OFDM systems that reduces feedback overhead and maintains high spectral efficiency.
Contribution
It proposes a novel analog precoding design based on dominant AoA/AoD directions and a hierarchical digital precoding algorithm with adaptive codeword assignment.
Findings
Reduces feedback from O(K) to O(K/M + log M) scaling.
Achieves comparable or better spectral efficiency and BER performance.
Significantly lowers computational complexity and improves robustness.
Abstract
In this paper, we propose a feedback-efficient hybrid precoding framework for wideband millimeter-wave (mmWave) multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To mitigate the high cost of radio frequency (RF) chains and channel state information (CSI) feedback in large-scale antenna arrays, we first construct frequency-flat analog precoders by extracting dominant angle-of-arrival (AoA) and angle-of-departure (AoD) directions from sparse frequency-domain channels. For digital precoding, we design a quantized codebook using the Lloyd algorithm and develop a binary-search-based hierarchical interpolation algorithm that adaptively assigns codewords according to subcarrier correlation. The proposed method achieves sub-linear feedback scaling by reducing the feedback overhead from O(K) to O(K/M + log M), where K is the number of subcarriers and…
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