Research on the strategy of mobile short video in product sales based on 5G network and embedded system

摘要

Mobile short video-based product sales sharing sites like YouTube and Tudor have many established user content for creating and distributing shares. The increasing number of mobile devices for product sales leads to the upcoming new 5G technology roadmap for embedded systems and 5G network connectivity. As these are the main sources of 5G information and online activities for consumers, mobile phone short films are rapidly being replaced by embedded systems. As the demand for more embedded system devices and applications continues to grow, supported bandwidth is also essential to meet this growing connection demand. The existing system does not allocate the product sales data upload bandwidth size. The system proposed here focuses on user upload bandwidth allocation, one of the basic resources of a short video sharing system with product details. Its allocation upload bandwidth Recurrent Neural Network (RNN) algorithm is proposed in a centralized or decentralized way and evaluated for balancing widely used strategies (equal allocation) and a mobile short video. Embedded systems are responsible for running professional product sales and control applications consistently and predictably. Development while using the microprocessor is also important. It increases the need to process product sales to handle the bandwidth, latency requirements, product sales data and data generated from multiple connected devices. It?s a big challenge for the industry to data and data capabilities.