PROJECT TITLE :

A Double-Auction Mechanism for Mobile Data-Offloading Markets

ABSTRACT:

The unprecedented growth of mobile knowledge traffic challenges the performance and economic viability of nowadays's cellular networks and calls for novel network architectures and communication solutions. Mobile data offloading through third-party Wi-Fi or femtocell access points (APs) can considerably alleviate the cellular congestion and enhance user quality of service (QoS), while not requiring expensive and time-consuming infrastructure investments. This solution has substantial edges both for the mobile network operators (MNOs) and the mobile users, but comes with unique technical and economic challenges that has to be jointly addressed. During this paper, we have a tendency to think about a market where MNOs lease APs that are already deployed by residential users for the offloading purpose. We assume that each MNO can employ multiple APs, and each AP will concurrently serve traffic from multiple MNOs. We tend to style an iterative double-auction mechanism that ensures the economical operation of the market by maximizing the variations between the MNOs' offloading edges and APs' offloading costs. The proposed theme takes under consideration the particular characteristics of the wireless network, such as the coupling of MNOs' offloading selections and APs' capability constraints. Additionally, it does not require full information about the MNOs and APs and creates nonnegative revenue for the market broker.