Suppose an application scenario: on your way to work, you just got on the subway, put on your headphones, and are ready to watch an episode of a TV series or variety show that catches up with the rise, killing time in transportation. At this time, you find that the network signal becomes non-stop with the start of the subway, and the video loading also begins to be unstable.
How to solve this problem? Huawei's HMS Core wireless transmission service (Wireless Kit) provides developers with complete wireless communication transmission capabilities to create customized cellular + WiFi communication solutions. Among them, weak signal prediction can improve the user's video viewing experience in a variety of scenarios.
1. How does weak signal prediction work?
Weak signal prediction uses machine learning to collect and analyze changes in network signal quality when users move on a fixed route, and based on the learning results, predict in advance the time when the user is about to enter an area with poor signal quality and the time to return to normal signal level . Based on this, the application can predict the information and make countermeasures in advance to improve the business experience of the application under the weak network.
Figure 1 Schematic diagram of weak signal prediction
2. What scenarios are used for weak signal prediction?
For video apps, a common application scenario is that users watch videos on their way to and from work. In this regard, major operators have also joined forces with Tencent, Youku, Douyin and other video software and short video platforms to launch data package packages. In the process of watching videos, people often encounter a problem that is caused by a weak signal area or a blind area of signal coverage. If the mobile phone can ensure the smoothness of the video to the utmost extent, and select a better network in time, it can give users a better viewing experience.
Based on the fact that users’ daily commuting routes are relatively fixed and network trends are predictable, Huawei’s wireless transmission service (Wireless kit) provides weak signal prediction capabilities based on learning, and actively predicts network trends based on changes in the user’s location. Video applications respond in advance, such as increasing the length of video caching.
In other words, weak signal prediction is equivalent to a bridge between the underlying communication and user experience, and timely feedback of the underlying signal change characteristics that the user or application does not usually pay attention to or can not perceive to the upper application, escorting the user experience.
Currently, the weak signal prediction provided by Huawei HMS Core wireless transmission service has been commercialized in cooperation with Huawei Video, Youku Video, iQiyi Video, and Douyin Short Video. We look forward to supporting more applications in the future, such as subway, high-speed rail, and large-scale services. Meetings and more scenes.
On October 23, the Huawei Developer Conference HMS Core 6.0: Connection and Communication Forum will introduce Huawei's multiple solutions in the field of connection and communication, and invite people from Douyin, Xishanju, Beidou Application Research Institute, and Ailian Technology And other partners, to share mobile application development practical experience and solutions for developers, and look forward to exploring the value of connection with developers.
Scan the QR code below, add the HDC·HMS Core sub-forum assistant, join the "HDC Connection and Communication Forum Exchange Group" to get the latest information, communicate with industry experts, and participate in the online live broadcast on October 23.
How to integrate the weak signal prediction service, HMS Core provides you with detailed development guidance. For more details, please refer to——
Wireless Kit Development Guide
Obtain development guidance documents:
Android , iOS , Web , Fast app
Visit Huawei Developer Alliance official website
Obtain development guide document
Huawei Mobile Services open source warehouse address: GitHub , Gitee
and learn about the latest technical information of HMS Core for the first time~
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