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MAC Scheduling for Multiuser Wireless Virtual Reality in 5G MIMO-OFDM Systems

机译：MAC调度5G MIMO-OFDM系统中的多用户无线虚拟现实

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摘要

Wireless Virtual Reality (VR) is a new-arising technology to enable the untethered connection between VR server and VR client, which needs to support simultaneously ultra-high data rate and ultra-high transfer reliability for video streaming, and also ultra-high responsive speed for motion-to-photon latency. Such three ultra-high (3UH) requirements constitute the basic characteristics of the generalized tactile internet. This paper proposes a multiuser MAC scheduling scheme for VR service in 5G MIMO-OFDM system, which can maximize the number of simultaneous VR clients while guaranteeing their 3UH quality-of-experience (QoE). Specifically, this scheme is composed of three novel functions, including video frame differentiation and delay-based weight calculation, spatial-frequency user selection based on maximum aggregate delay-capacity utility (ADCU), and link adaptation with dynamic block-error-rate (BLER) target. In addition, a low-complexity downlink MIMO user selection algorithm is developed, which can reduce the calculation amount with one order. It is demonstrated by the simulation results that the proposed scheme increases 31.6% for the maximum number of simultaneously served VR users than the traditional scheme with maximum-sum-capacity based scheduling and fixed BLER target based link adaptation.
机译：无线虚拟现实（VR）是一个中出现的新技术，使VR服务器和VR客户端，这需要同时支持超高数据速率和流媒体视频的超高传输的可靠性，同时也超高响应之间不受束缚连接速度运动到光子延迟。这样的三超高（3UH）的要求构成了广义的触觉互联网的基本特征。本文提出了一种在5G MIMO-OFDM系统VR服务，同时保证其3UH质量的经验（QoE）的可最大化同时VR客户端的数量多用户MAC调度方案。具体地，该方案由三个新颖功能，包括视频帧的分化和基于延迟的重量计算，基于最大聚合的延迟容量实用程序（ADCU）空间频率的用户选择，并与动态块错误率的链路自适应（ BLER）目标。另外，低复杂度的下行链路MIMO用户选择算法开发的，其可以减少与一个顺序计算量。它是由模拟结果表明，所提出的方案增加了31.6 ％为同时服务的用户VR比基于最大总和容量的调度和固定BLER目标基于链路自适应的传统方案的最大数目。

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