Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems

Fuente: arXiv
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Autores principales: Chou, Po-Heng, Lin, Jia-Qing, Huang, Wan-Jen, Chang, Ronald Y.
Formato: Preprint
Publicado: 2026
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author Chou, Po-Heng
Lin, Jia-Qing
Huang, Wan-Jen
Chang, Ronald Y.
author_facet Chou, Po-Heng
Lin, Jia-Qing
Huang, Wan-Jen
Chang, Ronald Y.
contents 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 M is the pilot spacing. Simulation results demonstrate that the proposed method achieves comparable or superior spectral efficiency and bit error rate (BER) performance to existing clustering and interpolation schemes, while significantly reducing computational complexity and exhibiting robustness under imperfect CSI.
format Preprint
id arxiv_https___arxiv_org_abs_2605_02418
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems
Chou, Po-Heng
Lin, Jia-Qing
Huang, Wan-Jen
Chang, Ronald Y.
Information Theory
Signal Processing
94A12, 94A08
C.2.1; C.2.2; C.2.3
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 M is the pilot spacing. Simulation results demonstrate that the proposed method achieves comparable or superior spectral efficiency and bit error rate (BER) performance to existing clustering and interpolation schemes, while significantly reducing computational complexity and exhibiting robustness under imperfect CSI.
title Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems
topic Information Theory
Signal Processing
94A12, 94A08
C.2.1; C.2.2; C.2.3
url https://arxiv.org/abs/2605.02418