Ouyang Ruiqi, Xiong Xuanrui, Fu Mingkai, Wang Jie, Chen Shixiong, Alfarraj Osama
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
School of Software, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel). 2023 Aug 22;23(17):7325. doi: 10.3390/s23177325.
With the widespread application of 5G technology, there has been a significant surge in wireless video service demand and video traffic due to the proliferation of smart terminal devices and multimedia applications. However, the complexity of terminal devices, heterogeneous transmission channels, and the rapid growth of video traffic present new challenges for wireless network-based video applications. Although scalable video coding technology effectively improves video transmission efficiency in complex networks, traditional cellular base stations may struggle to handle video transmissions for all users simultaneously, particularly in large-scale networks. To tackle this issue, we propose a scalable video multicast scheme based on user demand perception and Device-to-Device (D2D) communication, aiming to enhance the D2D multicast network transmission performance of scalable videos in cellular D2D hybrid networks. Firstly, we analyze user interests by considering their video viewing history and factors like video popularity to determine their willingness for video pushing, thereby increasing the number of users receiving multicast clusters. Secondly, we design a cluster head selection algorithm that considers users' channel quality, social parameters, and video quality requirements. Performance results demonstrate that the proposed scheme effectively attracts potential request users to join multicast clusters, increases the number of users in the clusters, and meets diverse user demands for video quality.
随着5G技术的广泛应用，由于智能终端设备和多媒体应用的激增，无线视频服务需求和视频流量大幅增长。然而，终端设备的复杂性、异构传输信道以及视频流量的快速增长给基于无线网络的视频应用带来了新的挑战。尽管可伸缩视频编码技术有效地提高了复杂网络中的视频传输效率，但传统蜂窝基站可能难以同时处理所有用户的视频传输，尤其是在大规模网络中。为了解决这个问题，我们提出了一种基于用户需求感知和设备到设备（D2D）通信的可伸缩视频多播方案，旨在提高蜂窝D2D混合网络中可伸缩视频的D2D多播网络传输性能。首先，我们通过考虑用户的视频观看历史和视频流行度等因素来分析用户兴趣，以确定他们推送视频的意愿，从而增加接收多播集群的用户数量。其次，我们设计了一种考虑用户信道质量、社交参数和视频质量要求的簇头选择算法。性能结果表明，该方案有效地吸引了潜在请求用户加入多播集群，增加了集群中的用户数量，并满足了用户对视频质量的多样化需求。
