Incentive Mechanisms for Motivating Mobile Data Offloading in Heterogeneous Networks: A Salary-Plus-Bonus Approach
Xin Kang, Sumei Sun, and Jing Yang

TL;DR
This paper proposes a salary-plus-bonus incentive mechanism for WiFi APs to motivate data offloading in heterogeneous networks, analyzing strategic interactions with game theory to optimize network utility and service quality.
Contribution
It introduces a novel salary-plus-bonus scheme and analyzes its effectiveness compared to salary-only and bonus-only schemes using Stackelberg game models.
Findings
The Nash Equilibrium always exists in the proposed game.
The salary-only scheme encourages more data offloading.
The bonus-only scheme promotes higher quality offloading services.
Abstract
In this paper, a salary-plus-bonus incentive mechanism is proposed to motivate WiFi Access Points (APs) to provide data offloading service for mobile network operators (MNOs). Under the proposed salary-plus-bonus scheme, WiFi APs are rewarded not only based on offloaded data volume but also based on the quality of their offloading service. The interactions between WiFi APs and the MNO under this incentive mechanism are then studied using Stackelberg game. By differentiating whether WiFi APs are of the same type (e.g. offloading cost and quality), two cases (homogeneous and heterogeneous) are studied. For both cases, we derive the best response functions for WiFi APs (i.e. the optimal amount of data to offload), and show that the Nash Equilibrium (NE) always exists for the subgame. Then, given WiFi APs' strategies, we investigate the optimal strategy (i.e. the optimal salary and bonus)…
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Taxonomy
TopicsWireless Networks and Protocols · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
