Improved internet wireless reverse charging models under multi link service network by end-to-end delay QoS attribute

This paper attempts to design the model of Improved Internet Reverse Charging (IRC) which is seldom discussed in some literature. This model is intended to work in multilink wireless internet in multi service Quality of Service (QoS) network that works in some traffics. IRC basically is focused on 3G and 4G turnover while doing the hosting. The models designed are formed in finding the optimal solution of pricing the internet. The mathematical formulation was modelled as Mixed Integer Nonlinear Programming problem (MINLP). IRC based modeling in the consumption of end-to- end delay Quality of Service (QoS) attributes was discussed to obtain the optimal solution. Optimal pricing scheme applied to local data server, using digilib traffic data. Improved IRC models were solved using LINGO 13.0. Basically, the internet network is not in the form of a single link only, but there is also a multilink, it is necessary to develop multilink internet network to match the reality. The results show, by setting up basic price to be varied ISP (Internet Service Provider) has choice to have competition in market and quality premium to be fixed or varied, then ISP choices to customer to select class/service and promote certain service, respectively.

[1]  Hung-Chin Jang,et al.  Pricing-Enabled QoS for UMTS/WLAN Network , 2006, JCIS.

[2]  Charles H. Fine,et al.  Value network dynamics in 3G-4G wireless communications: A systems thinking approach to strategic value assessment , 2008 .

[3]  Michael R. Bussieck,et al.  MINLPLib - A Collection of Test Models for Mixed-Integer Nonlinear Programming , 2003, INFORMS J. Comput..

[4]  Olumuyiwa Oludare Fagbohun.  Comparative studies on 3G,4G and 5G wireless technology , 2014 .

[5]  Richard J. Harris,et al.  LP-based algorithm for optimization in multiservice IP networks , 2003 .

[6]  Fitri Maya Puspita,et al.  Analysis Model in the Cloud Optimization Consumption in Pricing the Internet Bandwidt , 2018 .

[8]  H. Ohnishi,et al.  Method of improving bandwidth and connectivity with multiple links in nomadic network environment , 2005, 6th Asia-Pacific Symposium on Information and Telecommunication Technologies.

[9]  Dimitrios D. Vergados,et al.  A Survey of Pricing Schemes in Wireless Networks , 2011, IEEE Communications Surveys & Tutorials.

[10]  Zurina Shafii,et al.  Improved models of internet charging scheme of single bottleneck link in multi QoS networks , 2013 .

[11]  Robinson Sitepu,et al.  Mixed integer nonlinear programming (MINLP)-based bandwidth utility function on internet pricing scheme with monitoring and marginal cost , 2019 .

[12]  Reeky Maiti,et al.  A Simplified Pricing Model for the 3G/4G Mobile Networks , 2011 .

[13]  Timo Hämäläinen,et al.  Pricing model for 3G/4G networks , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Yunita,et al.  Mathematical model of improved reverse charging of wireless internet pricing scheme in servicing multiple QoS , 2020 .

[15]  Michel Mandjes,et al.  Resource usage and charging in a multi-service multi-QoS packet network , 2000 .

[16]  Aiko Pras,et al.  Reverse Charging in the Internet, an Architecture for a new Accounting Scheme for Internet Traffic , 2000 .

[17]  H Venkatesh Kumar,et al.  A Novel Approach to Optimize Cognitive Radio Network Utilization using Cascading Technique , 2015 .

[18]  Samir Chatterjee,et al.  A Strategic Pricing for Quality of Service (QoS) Network Business , 2004, AMCIS.

[19]  Roman Odarchenko,et al.  Multilink Approach for the Content Delivery in 5G Networks , 2018, 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T).

[20]  Wanjiun Liao,et al.  Utility-based optimal resource allocation in wireless networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..