[SEMINAR] April 29, 2022 – Maxim Susloparov – Study of AR/VR Traffic Balancing Algorithms for 5G Systems
We are happy to invite you to the next talk of Moscow Telecommunication Seminar which will be held at 17.00 (MSK, UTC+03:00), on Friday, April 29, 2022, in Zoom. Click here to show the seminar start time in your timezone.
Title: Study of AR/VR Traffic Balancing Algorithms for 5G Systems
Speaker: Maxim Susloparov, IITP RAS, NRU HSE
Abstract: Augmented and Virtual Reality (AR/VR) is often called a “killer” application of 5G systems because it imposes very strict Quality of Service (QoS) requirements related to throughput, latency, and reliability. A high-resolution AR/VR flow requires a bandwidth of dozens of MHz. Since the existing low-frequency bands (i.e., below 6 GHz) have limited bandwidth and are overpopulated, one of the ways to satisfy high AR/VR demands is to use wide frequency channels available in the millimeter-Wave (mmWave) band. However, transmission in the mmWave band suffers from high throughput fluctuation and even blockage, which leads to violation of strict AR/VR latency and reliability requirements. To address this problem, 5G specifications introduce a Multi-Connectivity (MC) feature that allows a mobile user to connect simultaneously to several base stations. Сonsider two base stations: the first base station operates in the low-frequency band to provide reliable data delivery, while the second one operates in the mmWave band and offers high data rates when the channel conditions are favorable. An open question that falls out of the scope of 3GPP specifications is how to balance AR/VR traffic between two links with different characteristics. In this talk, we will review the existing traffic balancing algorithms for 5G systems with MC and analyze their applicability to AR/VR traffic. Also, we will describe a new algorithm specifically designed to improve performance of AR/VR traffic. With NS-3, we demonstrate high efficiency of the proposed algorithm and compare it with the state-of-the-art algorithms.
Bio: Maxim Susloparov earned his Bachelor degree in Applied Mathematics from the HSE University in 2020. He currently works as a trainee researcher at IITP RAS and HSE University. He conducts research in the field of data transmission via 5G cellular systems.