An ns-3 Implementation of a Bursty Traffic Framework for Virtual Reality Sources
Mattia Lecci, Andrea Zanella, Michele Zorzi
备注：
9 pages, 6 figures. Please cite it as: M. Lecci, A. Zanella, M. Zorzi, "An ns-3 Implementation of a Bursty Traffic Framework for Virtual Reality Sources," in Workshop on ns-3 (WNS3), Jun. 2021, Virtual Event, US
Next-generation wireless communication technologies will allow users to obtain unprecedented performance, paving the way to new and immersive applications. A prominent application requiring high data rates and low communication delay is Virtual Reality (VR), whose presence will become increasingly stronger in the years to come. To the best of our knowledge, we propose the first traffic model for VR applications based on traffic traces acquired from a commercial VR streaming software, allowing the community to further study and improve the technology to manage this type of traffic. This work implements ns-3 applications able to generate and process large bursts of packets, enabling the possibility of analyzing APP-level end-to-end metrics, making the source code as well as the acquired VR traffic traces publicly available and open-source.
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Nanyang Technological University（南洋理工大学）；Peking University（北京大学）；Guangdong University of Technology（广东工业大学）；Singapore University of Technology and Design（新加坡科技设计大学）；Auburn University（奥本大学）；University of Houston（休斯顿大学）；Kyung Hee University（庆熙大学）
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User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality
School of Telecommunications Engineering, Xidian University（电子科技大学电信工程学院）；Department of Electrical and Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系）；School of Information Technology, Carleton University（卡尔顿大学信息科技学院）
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Thanks to recent advancements in the technology, eXtended Reality (XR) applications are gaining a lot of momentum, and they will surely become increasingly popular in the next decade. These new applications, however, require a step forward also in terms of models to simulate and analyze this type of traffic sources in modern communication networks, in order to guarantee to the users state of the art performance and Quality of Experience (QoE). Recognizing this need, in this work, we present a novel open-source traffic model, which researchers can use as a starting point both for improvements o…
