基于SVC视频流的低复杂度多播组分解算法

杨静璇; 徐桢

doi:10.13700/j.bh.1001-5965.2021.0014

基于SVC视频流的低复杂度多播组分解算法

doi: 10.13700/j.bh.1001-5965.2021.0014

杨静璇,
徐桢^,

北京航空航天大学电子信息工程学院, 北京 100083

基金项目:

国家自然科学基金 91638301

国家自然科学基金 91738301

详细信息

通讯作者:
徐桢, E-mail: xuzhen@buaa.edu.cn

中图分类号: TN92;TN919.8
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- 被引次数: 0
出版历程
- 收稿日期: 2021-01-11
- 录用日期: 2021-03-26
- 网络出版日期: 2021-04-09
- 整期出版日期: 2022-07-20

Low computational-cost multicast subgrouping for SVC streams

YANG Jingxuan,
XU Zhen^,

School of Electronic Information Engineering, Beihang University, Beijing 100083, China

Funds:

National Natural Science Foundation of China 91638301

National Natural Science Foundation of China 91738301

More Information

Corresponding author: XU Zhen, E-mail: xuzhen@buaa.edu.cn

摘要

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。
- 可伸缩视频编码(SVC) /
- 多速率多播 /
- 资源分配 /
- 无线网络 /
- 视频流
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.
- scalable video coding (SVC) /
- multi-rate multicast /
- resource allocation /
- wireless network /
- video streaming

HTML全文

图 1 系统模型

Figure 1. System model

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图 2 视频层传输模型

Figure 2. Video layer transmission model

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图 3 信道带宽不变时的系统速率比较

Figure 3. System rate comparison with constant channel bandwidth

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图 4 信道带宽不变时的系统公平性比较

Figure 4. System fairness comparison with constant channel bandwidth

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图 5 信道带宽不变时的频谱效率比较

Figure 5. Spectral efficiency comparison with constant channel bandwidth

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图 6 信道带宽可变时的系统速率比较

Figure 6. System rate comparison with variable channel bandwidth

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图 7 信道带宽可变时的系统公平性比较

Figure 7. System fairness comparison with variable channel bandwidth

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图 8 信道带宽可变时的频谱效率比较

Figure 8. Spectral efficiency comparison with variable channel bandwidth

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图 9 不同视频流的系统速率比较

Figure 9. System rate comparison of different video streams

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图 10 不同视频流的系统公平性比较

Figure 10. System fairness comparison of different video streams

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图 11 不同视频流的频谱效率比较

Figure 11. Spectral efficiency comparison of different video streams

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表 1 CQI-MCS映射表^[14]

Table 1. CQI-MCS Mapping^[14]

CQI编号	调制方式	码率*1 024	效率
1	QPSK	78	0.152 3
2	QPSK	120	0.234 4
3	QPSK	193	0.377
4	QPSK	308	0.601 6
5	QPSK	449	0.877
6	QPSK	602	1.175 8
7	16QAM	378	1.476 6
8	16QAM	490	1.914 1
9	16QAM	616	2.406 3
10	64QAM	466	2.730 5
11	64QAM	567	3.322 3
12	64QAM	666	3.902 3
13	64QAM	772	4.523 4
14	64QAM	873	5.115 2
15	64QAM	948	5.554 7

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表 2 主要仿真参数

Table 2. Main simulation assumptions

参数	数值
每个RB的带宽/kHz	180
小区半径/km	2
可用MCS等级	15
噪声功率密度/(dBm·Hz^-1)	-174
路径损耗/dB	128.1+37.6lg d
穿透损耗/dB	20
基站发射功率/dBm	28
注: d为无线信号传播距离。

下载: 导出CSV

表 3 视频流源速率

Table 3. Source rates of video stream

视频流	源速率/(Mbit·s^-1)
视频流	BL	EL1	EL2	EL3
CREW	0.306	0.578	0.814	1.184
FOREMAN	0.170	0.407	0.589	0.890
BUS	0.185	0.390	0.567	0.857
ICE	0.277	0.548	0.767	1.123

下载: 导出CSV

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