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Predicting mobile network bandwidth fluctuation to enhance video stream service quality implementation of location-based, dynamic transmission rate-limit control

机译：预测移动网络带宽波动，增强基于位置的动态传输速率限制控制的视频流服务质量实现

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摘要

Due to the very nature of modern day smartphones and tablets, users of such devices will often travel from an area with strong mobile signal to a weaker area. Travelling from a strong signal area (SSA) to a weak signal area (WSA) causes a significant drop in the mobile network bandwidth available to the device. This causes quality of service (QoS) problems for video streams over mobile networks. For a completely pause-less video stream, the average stream download rate must be consistently equal to, or greater than, the video bit-rate. A sudden bandwidth drop often causes the stream to rapidly become starved of buffered data, causing a pause in playback whilst the client attempts further buffering – posing a QoS problem. This paper proposes a solution that helps counter this mobility problem by attempting to foresee a user entering a WSA, and dynamically rate-limiting other nearby best-case users to increase available bandwidth to said user. Predictions are based on active user location information, and Mobile Network Coverage Map (MNCM) queries. Best-case user determination, and dynamic rate-limit algorithms are described in this paper. Through mathematical proofing with two unique test scenarios, the proposed solution is proven to significantly improve QoS of a video stream to a user entering a WSA.
机译：由于现代智能手机和平板电脑的本质，此类设备的用户通常会从移动信号较强的区域移动到较弱的区域。从强信号区域（SSA）到弱信号区域（WSA）的传输会导致设备可用的移动网络带宽显着下降。这会导致移动网络上视频流的服务质量（QoS）问题。对于完全无暂停的视频流，平均流下载速率必须始终等于或大于视频比特率。突然的带宽下降通常会导致流迅速耗尽缓冲的数据，从而在客户端尝试进一步缓冲的同时导致播放暂停，从而造成QoS问题。本文提出了一种解决方案，可通过尝试预见用户进入WSA并动态地限制其他附近的最佳情况用户的速率来增加该用户的可用带宽，从而帮助解决此移动性问题。预测基于活动的用户位置信息和移动网络覆盖图（MNCM）查询。本文介绍了最佳情况下的用户确定和动态速率限制算法。通过在两个独特的测试场景下进行数学打样，该提议的解决方案被证明可以显着提高进入WSA的用户的视频流的QoS。

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