Auction-based resource negotiation for flexible video traffic offloading over wireless networks

In this work, we propose an auction-based resource negotiation for flexible video traffic offloading over heterogeneous wireless networks. The goal of the proposed system is to alleviate long term evolution (LTE) traffic congestion by offloading video traffic through WiFi network in a flexible scale while providing stable video streaming services to users with the minimum monetary cost. The fountain code is adopted to achieve flexibility of offloading traffic and robustness over error-prone wireless networks. Moreover, the progressive second price auction mechanism is employed to allocate limited LTE resources to multiple users in order to maximize social welfare while converging to the ε-Nash equilibrium. For performance verification, we implement the system using network simulator 3.