With the complexity of the 5 G network environment and the diversified requirements for video transmission, multimedia content transmission in different channel environments is a direction worth studying in order to achieve good performance of digital media content transmission systems in an open network environment. Based on the code stream structure characteristics of screen content in HEVC, this paper has proposed a joint source channel coding (JSCC) scheme to study the transmission of compressed video in wireless channels. Combined with the clustering algorithm from the field of artificial intelligence in the environment of wireless channel classification problem, the parameters of the wireless channel and the influencing factors can be used to reduce the noise and then use the FCM (Fuzzy C-Means) clustering algorithm to classify the channel environment. According to the channel status, optimize the current remaining resources and implement channel coding through LDPC codes. By analyzing and minimizing the end-to-end distortion model, the adaptive bit rate allocation further guarantees the quality of the reconstructed video.

随着5G网络环境的复杂性以及对视频传输的多样化要求，在开放的网络环境中实现数字媒体内容传输系统的良好性能，在不同信道环境下进行多媒体内容传输是值得研究的方向。基于HEVC中屏幕内容的码流结构特征，提出了一种联合源信道编码（JSCC）方案，以研究压缩视频在无线信道中的传输。结合无线信道分类问题环境下人工智能领域的聚类算法，无线信道的参数和影响因素可用于减少噪声，然后使用FCM（模糊C均值）聚类算法对信道环境进行分类。根据信道状态，优化当前剩余资源，并通过LDPC码实现信道编码。通过分析和最小化端到端失真模型，自适应比特率分配可以进一步保证重建视频的质量。