Pricing Mobile Data Offloading: A Distributed Market Framework
Kehao Wang, Francis C. M. Lau, Lin Chen, Robert Schober

TL;DR
This paper proposes a distributed market framework for pricing mobile data offloading, modeling interactions between providers and consumers using a multi-leader multi-follower Stackelberg game, and analyzes equilibrium existence, uniqueness, and efficiency.
Contribution
It introduces a novel game-theoretic model for mobile data offloading pricing and provides analytical proofs of equilibrium properties under different capacity scenarios.
Findings
Existence and uniqueness of equilibrium are proven for both unlimited and limited capacity cases.
A distributed algorithm is developed for leaders to reach equilibrium.
Numerical results show the Stackelberg equilibrium closely aligns with social optimality.
Abstract
Mobile data offloading is an emerging technology to avoid congestion in cellular networks and improve the level of user satisfaction. In this paper, we develop a distributed market framework to price the offloading service, and conduct a detailed analysis of the incentives for offloading service providers and conflicts arising from the interactions of different participators. Specifically, we formulate a multi-leader multi-follower Stackelberg game (MLMF-SG) to model the interactions between the offloading service providers and the offloading service consumers in the considered market framework, and investigate the cases where the offloading capacity of APs is unlimited and limited, respectively. For the case without capacity limit, we decompose the followers' game of the MLMF-SG (FG-MLMF-SG) into a number of simple follower games (FGs), and prove the existence and uniqueness of the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Opportunistic and Delay-Tolerant Networks · Age of Information Optimization
