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arXiv · 2312.07356

Impact of Array Configuration on Head-Mounted Display Performance at mmWave Bands

Alexander Marinšek·Xuesong Cai·Lieven De Strycker·Fredrik Tufvesson·Liesbet Van der Perre
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Abstract

Immersing a user in life-like extended reality (XR) scenery using a head-mounted display (HMD) with a constrained form factor and hardware complexity requires remote rendering on a nearby edge server or computer. Millimeter-wave (mmWave) communication technology can provide sufficient data rate for wireless XR content transmission. However, mmWave channels exhibit severe sparsity in the angular domain. This means that distributed antenna arrays are required to cover a larger angular area and to combat outage during HMD rotation. At the same time, one would prefer fewer antenna elements/arrays for a lower complexity system. Therefore, it is important to evaluate the trade-off between the number of antenna arrays and the achievable performance to find a proper practical solution. This work presents indoor 28 GHz mmWave channel measurement data, collected during HMD mobility, and studies the dominant eigenmode (DE) gain. DE gain is a significant factor in understanding system performance since mmWave channel sparsity and eigenmode imbalance often results in provisioning the majority of the available power to the DE. Moreover, it provides the upper performance bounds for widely-adopted analog beamformers. We propose 3 performance metrics - gain trade-off, gain volatility, and minimum service trade-off - for evaluating the performance of a multi-array HMD and apply the metrics to indoor 28 GHz channel measurement data. Evaluation results indicate, that 3 arrays provide stable temporal channel gain. Adding a 4th array further increases channel capacity, while any additional arrays do not significantly increase physical layer performance.

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Alexander Marinšek, Xuesong Cai, Lieven De Strycker, Fredrik Tufvesson, Liesbet Van der Perre. 2024-01-10. Impact of Array Configuration on Head-Mounted Display Performance at mmWave Bands. https://doi.org/10.1109/eucnc%2F6gsummit58263.2023.10188332

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