Risk Optimization for Revenue-Driven Wireless Video Broadcasting Systems: A Copula-Based Framework

doi:10.1109/TMM.2020.3002612

	Risk Optimization for Revenue-Driven Wireless Video Broadcasting Systems: A Copula-Based Framework
	Ji, Wen 1,2; Poor, H. Vincent 3
	2021
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
卷号	23 页码:1757-1771
摘要	The revenue of wireless service providers (WSPs) relies on their ability to efficiently satisfy the variable demands from end users (EUs). However, emerging video services create new risks owing to the diverse content requirements of heterogeneous EUs operating in uncertain markets. It is challenging as the risks created by demands and prices are highly uncertain. In this work, a risk problem of high revenues is studied in which multiple video content items with different prices are broadcast to wireless EUs. The video content prices differ in their value functions in terms of popularity, ratings, and types. The objective is to maximize the revenue of WSPs under a certain Value-at-Risk (VaR) by adjusting the content prices and allocation of bandwidth resources. Furthermore, a VaR-based optimization framework for wireless video broadcasting systems is presented. First, the content characteristics are analyzed, and a copula model is then used to build the content value structure. The copula of a multivariate distribution corresponds to the description of the price-dependent structure. Second, a risk analysis for the effects of price fluctuations on revenues caused by uncertainty is conducted. A VaR model is associated with changes in the prices and allocated rates. Copulas are used to derive a bound on the VaR for functions of dependent risks. Subsequently, detailed representations are provided to identify the distributional bounds for revenue functions of dependent risks. Lastly, a VaR-based framework that optimizes pricing and bandwidth provision is presented. For the solution, the risk regions of WSPs are modeled as polymatroidal structures to minimize the risk caused by different service demands and variable market prices. Experiments on different price markets demonstrated that the proposed method is effective, thereby verifying the feasibility of the proposed method.
关键词	Wireless communication Broadcasting Multimedia communication Reactive power Pricing Analytical models Uncertainty Wireless video broadcasting risk VaR revenue copula polymatroid
DOI	10.1109/TMM.2020.3002612
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2017YFB1400100] ; National Natural Science Foundation of China[61572466] ; BeijingNatural Science Foundation[4202072] ; U.S. National Science Foundation[CCF-0939370] ; U.S. National Science Foundation[CCF-1908308]
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:000655830300022
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/17594
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ji, Wen
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 2.Peng Cheng Lab, Shenzhen 518055, Peoples R China 3.Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
推荐引用方式 GB/T 7714	Ji, Wen,Poor, H. Vincent. Risk Optimization for Revenue-Driven Wireless Video Broadcasting Systems: A Copula-Based Framework[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2021,23:1757-1771.
APA	Ji, Wen,&Poor, H. Vincent.(2021).Risk Optimization for Revenue-Driven Wireless Video Broadcasting Systems: A Copula-Based Framework.IEEE TRANSACTIONS ON MULTIMEDIA,23,1757-1771.
MLA	Ji, Wen,et al."Risk Optimization for Revenue-Driven Wireless Video Broadcasting Systems: A Copula-Based Framework".IEEE TRANSACTIONS ON MULTIMEDIA 23(2021):1757-1771.