Bargaining-Based Mobile Data Offloading

Provided by: Cornell University
Topic: Big Data
Format: PDF
The unprecedented growth of mobile data traffic challenges the performance and economic viability of today's cellular networks, and calls for novel network architectures and communication solutions. Data offloading through third-party WiFi or femtocell Access Points (APs) can effectively alleviate the cellular network congestion in a low operational and capital expenditure. This solution requires the cooperation and agreement of Mobile cellular Network Operators (MNOs) and AP Owners (APOs). In this paper, the authors model and analyze the interaction among one MNO and multiple APOs (for the amount of MNO's offloading data and the respective APOs' compensations) by using the Nash bargaining theory.

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