基于Stackelberg博弈的WCDMA网络收益最大化计费的研究

王玉峰; 王文东; 程时端

基于Stackelberg博弈的WCDMA网络收益最大化计费的研究

王玉峰^{①②;王文东},
王文东,
程时端

计量
- 文章访问数: 2291
- HTML全文浏览量: 120
- PDF下载量: 651
- 被引次数: 0
出版历程
- 收稿日期: 2004-03-03
- 修回日期: 2005-06-15
- 刊出日期: 2005-09-19

On Revenue-Maximized Pricing for WCDMA Networks Based on Stackelberg Game

Wang YuFeng^{①②;王文东},
Wang WenDong,
Cheng ShiDuan

摘要

摘要: 该文研究了在WCDMA网络中如何选择价格来最大化网络收益.没有采用拥塞相关的计费,而是对每个用户有效传输的单位吞吐量收取固定的费用,但每个用户的传输速率是网络拥塞和单位带宽价格的函数,并在此基础上提出了用户净效用函数.利用Stackelberg博弈,建模网络与用户之间的交互,即一方面网络管理者设定价格,以便实现收益最大化,而用户通过自优化效用函数来寻找新的均衡点对此做出响应.本文提供了网络收益与接纳用户数目的定量关系,并研究了网络降低用户传输速率以增大网络容量和拥塞控制的经济动机.
- WCDMA网络; 收益最大化; 计费; Stackelberg博弈
Abstract: The problem that how to set the price to maximize revenue in WCDMA networks is investigated in this paper. Instead of adopting congestion pricing mechanism, this paper imposes fixed usage price on throughput of each user, which is assumed to be the function of network congestion and usage cost. Based on above assumptions, the net utility functions of users are provided and Stackelberg game is adopted to model the interaction between network and users. That is, network sets the price to maximize revenue, and in response to the price, users maximize their net utility functions to achieve equilibriums. The paper provides the quantitative relation between revenue and the number of admitted users, and infers that although, technically speaking, network can increase system capacity to admit more users through decreasing transmission rate of users, the network has no incentive to adopt this policy. Conversely, network has the incentive to pert＇arm congestion control.

HTML全文

参考文献(1)

Kelly F P, Maulloo A, Tan D. Rate control for communication networks: shadow prices, proportional fairness and stability, J..Oper. Res. Soc., 1998, 49(3): 237 - 252.[2]La R J, Anantharam V. Utility-based rate control in the Internet for elastic traffic[J].IEEE Trans. on Networking.2002, 10(2):272-[3]Bouhtou M, Diallo M, Wynter L. Fair resource allocation and pricing: a numerical study. http:∥www. prism.uvsq. fr/～wynter/RESEARCH/fair-pricing.ps.[4]Wynter L. Optimizing proportionally fair prices. http:∥www.prism. uvsq.fr/～wynter/RESEARCH/PFPuniq ueness. ps.[5]Altman E. Capacity of multi-service cellular networks with transmission-rate control: a queuing analysis. In Proc. of ACM MOBICOM, Atlanta, Georgia, USA, 2002:205 - 214.Sirts V A. Resource control for elastic traffic in CDMA networks,In Prof. of ACM MOBICOM, Atlanta, Georgia, USA, 2002:193 - 204.[6]Hegde N, Altman E. Capacity of multiservice WCDMA networks with variable QoS. In Proc. of IEEE WCNC, New Orleans USA,2003, (2): 1402 - 1407.[7]Altman E, Wynter L. Equilibrium, games, and pricing in transportation and telecommunications networks. http:∥www-sop.inria.fr/mistral/personnel/Eitan. Altman/PAPERS/laura.ps.[8]Altman E, Boulogne T, Azouzi R, Jimenez T, Wynter L. A survey on networking games. http:∥www-sop.inria.fr/mistral/ personnel/Eitan. AItman/PAPERS/srvgm.ps.[9]Basar T, Srikant B. Revenue-maximizing pricing and capacity expansion in a many-users regime. In Proc. of IEEE INFOCOM,New York, USA, 2002, (1): 294 - 301.[10]梁小民著.经济学是什么.北京:北京大学出版社,2001:43-46.[11]Bertsekas D. Nonlinear Programming. Belmont, MA: Athena Scientific, 1999:353 - 358.

施引文献

资源附件(0)

访问统计