| 基于SVC视频流的低复杂度多播组分解算法 |
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| 引用本文： | 杨静璇,徐桢.基于SVC视频流的低复杂度多播组分解算法[J].北京航空航天大学学报,2022,48(7):1278-1286. |
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| 作者姓名： | 杨静璇 徐桢 |
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| 作者单位： | 北京航空航天大学 电子信息工程学院, 北京 100083 |
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| 基金项目： | 国家自然科学基金91638301国家自然科学基金91738301 |
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| 摘 要： | 多播是一种高效率利用带宽资源的技术，可以有效缓解多媒体传输过程中的带宽压力，但传统的多播技术会带来“瓶颈用户”问题，限制多播组内用户的数据速率。多播组分解技术将多播组划分为若干子组并以不同速率接收数据，可以有效解决瓶颈用户带来的速率限制。构建了面向用户端的视频多播传输方案，将可伸缩视频编码（SVC）的分层特点和组分解技术相结合，各多播子组根据实际接收能力解调得到不同质量的SVC视频数据，在保证用户基本视频数据传输的基础上，实现总系统速率最大化。提出了面向资源公平调配的低复杂度多播组分解算法，在改进低复杂度分组（LCS）算法过程中考虑SVC视频层限制，并引入常值向量抑制资源分配不公的情况。经过实验数据模拟和性能评估，所提算法在带宽资源和用户数量变化时，均可以稳定地保持较高的系统速率、频谱效率及系统公平性，且计算复杂度较低，能够实际应用于4G和5G网络架构下的视频传输。
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| 关 键 词： | 可伸缩视频编码(SVC) 多速率多播 资源分配 无线网络 视频流 |
| 收稿时间： | 2021-01-11 |
Low computational-cost multicast subgrouping for SVC streams |
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| Affiliation: | School of Electronic Information Engineering, Beihang University, Beijing 100083, China |
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| Abstract: | Multicast is widely used in multimedia transmission because it can utilize channel bandwidth efficiently. However traditional multicast scheme has bottleneck rates problem, which may limit the multicast transmission rate. Subgroup formation can solve the problem, which involves splitting and classifying the multicast group into smaller sub-groups based on intra-group users' channel qualities. Firstly, this paper proposed a user-oriented video multicast transmission scheme, that combined scalable video coding (SVC) technology with subgroup formation. Each subgroup demodulated SVC streams of different layers according to actual data receiving capability, during which the scheme maximized the total system rate on the basis of user video transmission. Moreover, a low computational-cost subgroup algorithm for fair resource allocation is proposed. This proposal considered SVC layer limitation based on low-complexity subgrouping (LCS) algorithm and adopted a constant vector to suppress unfair resource allocation. Finally, the results show that the proposed algorithm achieves well performance in terms of system rate, spectrum efficiency and system fairness when the bandwidth resource and the number of users change. In addition, the computational complexity of the algorithm is low, thus it can be applied to video transmission under 4G and 5G network architectures. |
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