🤖 AI Summary
This work addresses the challenge of ultra-reliable communication in Wi-Fi 8-inspired downlink MU-MIMO systems, where channel state information (CSI) aging induced by passive devices couples with sounding overhead to degrade performance. The study reveals that passive reflection fundamentally reshapes the conventional sounding trade-off and proposes a data-driven approach that jointly optimizes multidimensional parameters—including sounding interval, modulation and coding scheme (MCS), passive attenuation, and data rate—through packet-level cross-layer modeling. This enables dynamic determination of the optimal sounding period to maximize aggregate throughput across both active and passive links. Simulations demonstrate that the ability of passive-link throughput gains to offset Wi-Fi reliability losses critically depends on MCS selection and passive-link configuration. The proposed method adaptively tunes sounding strategies, offering a principled design framework for high-reliability, low-power MU-MIMO WLANs.
📝 Abstract
Batteryless overlays couple passive throughput to Wi-Fi sounding overhead and channel state information (CSI) aging. This paper investigates channel sounding for ultra-high reliability (UHR) operation in a Wi-Fi 8/IEEE 802.11bn-inspired downlink multi-user multiple-input multiple-output (MU-MIMO) system with a batteryless passive overlay. We optimize the post-sounding transmission interval to maximize the aggregate throughput of the active Wi-Fi and passive links, while jointly accounting for sounding overhead, CSI aging, modulation and coding scheme (MCS), passive attenuation, and passive data rate. A packet-level cross-layer model evaluates the cycle-average throughput, and a data-driven search identifies the optimal interval under different operating conditions. Simulations demonstrate that passive overlay reshapes the conventional sounding tradeoff: depending on the MCS and passive-link configuration, the additional passive throughput may or may not compensate for the associated Wi-Fi reliability loss, causing the optimal interval to shift. The results provide design guidance for reliable and low-power MU-MIMO WLANs.