DocumentCode :
170470
Title :
Hybrid data pricing for network-assisted user-provided connectivity
Author :
Lin Gao ; Iosifidis, George ; Jianwei Huang ; Tassiulas, L.
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
682
Lastpage :
690
Abstract :
User-provided connectivity (UPC) is a promising paradigm to achieve a low-cost ubiquitous connectivity. In this paper, we study a network-assisted UPC service model, where a mobile virtual network operator (MVNO) enables its subscribers to operate as mobile WiFi hotspots (hosts) and provide Internet connectivity for others. A unique aspect of this service model is that the MVNO offers some free data quota to hosts as reimbursements (incentives) for connectivity sharing. This reimbursing scheme, together with a usage-based pricing, constitute a revolutionary hybrid data pricing-reimbursing scheme, which has not been considered before. We analyze the different impacts of data price and reimbursement on the host´s connectivity sharing decision systematically. Based on this analysis, we further derive the optimal hybrid pricing-reimbursing policy that maximizes the MVNO´s revenue. Our numerical result indicates that by using the proposed hybrid pricing policy, the MVNO can increase its revenue by 20% to 135% under an elastic client demand, and by 20% to 550% under an inelastic client demand, comparing to those achieved under a pricing-only policy.
Keywords :
Internet; mobile computing; pricing; share prices; wireless LAN; Internet connectivity sharing; MVNO revenue maximization; elastic client demand; free data quota; inelastic client demand; low-cost ubiquitous connectivity; mobile WiFi hotspots; mobile virtual network operator; network-assisted UPC service model; network-assisted user-provided connectivity; optimal hybrid pricing-reimbursing policy; revolutionary hybrid data pricing-reimbursing scheme; usage-based pricing; Games; IEEE 802.11 Standards; Internet; Mobile communication; Optimal scheduling; Pricing; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6847994
Filename :
6847994
Link To Document :
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