Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks

In this letter, we shed light on the impact of multiple-input, multiple-output (MIMO) beamforming feedback quantization and orthogonal frequency-division multiplexing (OFDM) sub-channel grouping on communication performance, for IEEE 802.11ac/ax Wi-Fi networks. We performed an extensive data collection campaign with commercial Wi-Fi devices deployed in different propagation environments considering several network configurations. Our objective is to provide a benchmark for research on efficient feedback compression mechanisms and to enable further analysis. As such, we pledge to share the datasets we collected and the emulation framework we developed.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-09-27
DOI
https://doi.org/10.1109/lwc.2024.3469383
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.63

Funders

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article

Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks

Khandaker Foysal Haque, Francesco Restuccia, Francesca Meneghello
3 citations
IEEE Wireless Communications Letters
Advanced MIMO Systems Optimization
0.63
article

Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks

Khandaker Foysal Haque, Francesco Restuccia, Francesca Meneghello
article en
3 citations

Abstract

In this letter, we shed light on the impact of multiple-input, multiple-output (MIMO) beamforming feedback quantization and orthogonal frequency-division multiplexing (OFDM) sub-channel grouping on communication performance, for IEEE 802.11ac/ax Wi-Fi networks. We performed an extensive data collection campaign with commercial Wi-Fi devices deployed in different propagation environments considering several network configurations. Our objective is to provide a benchmark for research on efficient feedback compression mechanisms and to enable further analysis. As such, we pledge to share the datasets we collected and the emulation framework we developed.

IEEE Wireless Communications LettersVol. 13(12)
Northeastern University (US), University of Padua (IT)
National Science Foundation, Office of Naval Research, Air Force Office of Scientific Research
Affordable and clean energy
Openalex Percentile: Top 31%
Advanced MIMO Systems Optimization
0.63
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Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks — Khandaker Foysal Haque, Francesco Restuccia, et al. · IEEE Wireless Communications Letters (2024) | TGRS Research Map | TGRS