Utility-based dynamic revenue pricing scheme for wireless operators

In recent years, the wireless operators' revenue touches the ceiling, and the serious asymmetry growth of flow and revenue is facing the biggest challenge. For the interest of network operators, the pricing, user demand and the interaction between system utility and the wireless operators' revenue are investigated, and a utility-based dynamic pricing scheme for improving network operator's revenue is proposed, where the relative optimization between the network operator's revenue and the system total utility can be reached. According to the proposed pricing scheme, operators can adjust system total utility to improve its revenue in the given interval range. The numerical analysis results indicate that this scheme is reasonable and feasible.

[1]  Xiaohui Chen,et al.  Utility-Based Resource Dynamic Allocation for Mixed Traffic in Wireless Networks , 2009, 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.

[2]  A. Robert Calderbank,et al.  Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization , 2006, IEEE Journal on Selected Areas in Communications.

[3]  A. Robert Calderbank,et al.  Network Utility Maximization and Price-Based Distributed Algorithms for Rate-Reliability Tradeoff , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[4]  John Wiley,et al.  Pricing Communication Networks : Economics, Technology and Modeling , 2014 .

[5]  Bin Wang,et al.  Utility-based resource allocation for mixed traffic in wireless networks , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[6]  Laurence B. Milstein,et al.  Multi-User Resource Allocation for a Distributed Multi-Carrier DS-CDMA Network , 2012, IEEE Transactions on Communications.

[7]  Yan Shi,et al.  A Unified Utility Framwork for Applications in Heterogeneous Wireless Environment , 2011 .

[8]  Hoon Kim,et al.  Distributed utility-maximization using a resource pricing power control in uplink DS-CDMA , 2008, IEEE Communications Letters.

[9]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[10]  Djamal Zeghlache,et al.  A Nash Stackelberg approach for network pricing, revenue maximization and vertical handover decision making , 2011, 2011 IEEE 36th Conference on Local Computer Networks.

[11]  S. D. Personick.  Evolving toward the next-generation Internet: challenges in the path forward , 2002 .

[12]  Shuqin Li,et al.  Revenue Maximization for Communication Networks with Usage-Based Pricing , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.