Profit Improvement in Wireless Video Broadcasting System: A Marginal Principle Approach
Profit Improvement in Wireless Video Broadcasting System: A Marginal Principle Approach
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DOI：
10.1109/tmc.2014.2362919
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发表时间：
2015-08
影响因子：
7.9
通讯作者：
Wen Ji;Bo-Wei Chen;Yiqiang Chen;S. Kung
中科院分区：
文献类型：
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作者：
Wen Ji;Bo-Wei Chen;Yiqiang Chen;S. Kung
在本文中，我们解决的问题，如何使无线服务提供商有更好的利润与考虑在无线视频广播系统的用户体验提供。我们提出了一个基于边际的定价和资源分配框架，以实现更好的资源利用率和利润的提高。边际原则包括1）边际用户原则，其中基于边际用户建立定价机制，使得WSP可以在QoE保证的情况下寻求其每个内容的最大利润; 2）边际利润原则，其中WSP可以通过在有限的可用带宽中调节速率分配来通过多内容服务提供赚取最大利润。此外，我们提出了一个两层的框架组成的内部和外部循环。内环侧重于基于边际用户原则概念的定价服务提供。外环根据边际利润原则在多个视频内容之间分配带宽。在求解过程中，我们将WSP和终端用户的利润区域建模为多拟阵结构，将相应的费率分配区域建模为反多拟阵结构。利用多拟阵和反多拟阵的性质，通过在和速率方面寻找满足最大可达利润的最优速率向量来解决广播利润问题。广泛的性能比较和分析，以证明所提出的解决方案的效率。
In this paper, we address the problem of how to make the wireless service provider have better profits with consideration of user experience provision in wireless video broadcasting systems. We propose a marginal-based pricing and a resource-allocation framework to achieve better resource utilization and profit improvement. The marginal principle includes 1) marginal user principle, in which a pricing mechanism is established on the basis of marginal users, such that the WSP can seek its own maximum profit of each content with a QoE guarantee; 2) marginal profit principle, in which a WSP can earn the maximum profit through multicontent-service provision by regulating rate allocation in limited available bandwidth. Furthermore, we present a two-tier framework consisting of the inner and outer loops. The inner loop focuses on pricing-based service provision based on the notion of marginal user principle. The outer loop concentrates on allocating bandwidth among multiple video contents according to marginal profit principle. For the solution, we model the profit regions of WSPs and end-users as the polymatroid structures and model the corresponding allocated rate regions as the contra-polymatroid structures. Through exploiting the properties of polymatroid and contra-polymatroid structures, the broadcasting profit problem is solved by finding the optimal rate vector on the sum-rate facet which satisfies the maximal achievable profit. Extensive performance comparison and analysis are presented to demonstrate efficiency of the proposed solution.