Abstract

Emerging applications in fields such as extended reality require both a high throughput and low latency. The millimeter-wave (mmWave) spectrum is considered because of the potential in the large available bandwidth. The present work studies mmWave Wi-Fi physical layer latency management mechanisms, a key factor in providing low-latency communications for time-critical applications. We calculate physical layer latency in an ideal scenario and simulate it using a tailor-made simulation framework, based on the IEEE 802.11ad standard. Assessing data reception quality over a noisy channel yielded latency’s dependency on transmission parameters, channel noise, and digital baseband tuning. Latency in function of the modulation and coding scheme was found to span 0.28–2.71 ms in the ideal scenario, whereas simulation results also revealed its tight bond with the demapping algorithm and the number of low-density parity-check decoder iterations. The findings yielded tuning parameter combinations for reaching Pareto optimality either by constraining the bit error rate and optimizing latency or the other way around. Our assessment shows that trade-offs can and have to be made to provide sufficiently reliable low-latency communication. In good channel conditions, one may benefit from both the very high throughput and low latency; yet, in more adverse situations, lower modulation orders and additional coding overhead are a necessity.

Highlights

  • The number of connected devices is rising with a 10% compound annual growth rate (CAGR) [1], causing ever higher interference levels in the already saturated sub-6 GHz wireless spectrum

  • The time delays are inversely proportionate to the modulation and coding scheme (MCS) index, while the transmission time difference when selecting either the highest or the lowest MCS escalates as the payload length increases

  • The present work studies physical layer (PHY) latency in mmWave Wi-Fi networks. It considers both an ideal scenario and a simulated latency-inducing IEEE 802.11ad PHY based on performance figures reported in state-of-the-art literature

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Summary

Introduction

The number of connected devices is rising with a 10% compound annual growth rate (CAGR) [1], causing ever higher interference levels in the already saturated sub-6 GHz wireless spectrum. Leveraging multipath signal components and spatial diversity increases communication reliability; a large deal of the interference can be avoided by exploiting the 30–300 GHz millimeter-wave (mmWave) spectrum. The 270 GHz wide mmWave spectrum allows wireless waveforms to occupy larger bandwidths. The IEEE 802.11ad standard (WiGig), situated around the 60 GHz central frequency, wields 1.76 GHz wide channels [2]. WiGig achieves data rates surpassing 8 Gbps at its highest modulation and coding scheme (MCS) setting—an enviable feat that makes mmWave Wi-Fi a perfect fit for data-hungry applications such as interactive video streaming

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