Modeling System-Level Dynamics of Direct XR Sessions over mmWave Links
Ali, Asad; Galinina, Olga; Andreev, Sergey (2020)
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
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Julkaisun pysyvä osoite on
To improve the quality of experience (QoE) and prolong the battery life, high-end wearable devices may offload their computations - partially or fully - to a paired computing device. One of the promising connectivity solutions, due to heavy load, is millimeter-wave (mmWave) technologies, which offer wide bandwidth and promise to provide extreme throughput and low latency. The features of the mmWave access and the use of sophisticated beamforming techniques have posed a whole new set of problem formulations related to directionality. Over the past decade, stochastic geometry has been extensively used to study directional mmWave connectivity in static deployments; however, there remains a research gap of employing directionality in highly dynamic scenarios. To bridge this gap, in this paper, we analyze the effects of mmWave directionality for non-static device-to-device (D2D) links, typical for high-end wearable applications. We propose a queueing-theoretical approach to capturing the dynamics of the representative mmWave D2D scenario and derive approximations for the key system-level metrics of interest. Our numerical results yield important insights on the role that the directivity has in changing the interference footprint in dynamic D2D systems.
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