QoS-Guaranteed Adaptive Modulation and Coding for Wireless Scalable Video Multicast

被引：4
|
作者：
Jiang, Qi [1 ]
Leung, Victor C. M. [2 ,3 ]
Tang, Hao [1 ]
机构：
[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R China
[2] Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Peoples R China
[3] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2022年 / 32卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Quality of service; Streaming media; Static VAr compensators; Video recording; Quality assessment; Encoding; Optimization; Adaptive modulation and coding; Markov decision processes; QoS guarantee; stochastic optimization; scalable video multicast; MULTIRATE MULTICAST; RESOURCE-ALLOCATION; TRANSMISSION; MODEL;
D O I：
10.1109/TCSVT.2021.3065840
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Multicast is a promising solution to address spectrum scarcity in wireless video streaming, while facing tough challenge in provisioning quality of service (QoS) to heterogeneous users. This article presents an adaptive modulation and coding (AMC) scheme to accommodate both spatial diversity and temporal variation on users' channel conditions for QoS provisioning in wireless scalable video multicast. The QoS-guaranteed AMC policy optimization is formulated as constrained stochastic optimization based on Markov decision processes. An adaptive policy iteration algorithm is developed to find the optimal AMC policy online without any prior knowledge of users' channel statistics or intensive calculations. This algorithm is attractive due to adaptability to unknown environments and less run-time computation expenditure. Simulations results demonstrate the effectiveness of the proposed scheme.
引用
收藏
页码：1696 / 1700
页数：5
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