Enhanced Probe Based Admission Control System for Traffic Offloading

Cellular networks are currently facing severe traffic overload problems caused by excessive traffic demands. Offloading part of the cellular traffic through other forms of networks, such as Delay Tolerant Networks (DTNs) and WiFi hotspot, is a promising solution since these networks can only provide intermittent connectivity to mobile users, utilizing them for cellular traffic offloading may result in a non negligible delay. As the delay increases, the users’ satisfaction decreases. we investigate the tradeoff between the amount of traffic being offloaded and the users’ satisfaction. We provide a novel incentive framework to motivate users to leverage their delay tolerance for cellular traffic offloading To minimize the incentive cost given an offloading target users with high delay tolerance and large offloading potential should be prioritized for traffic offloading To effectively capture the dynamic characteristics of users’ delay tolerance our incentive framework is based on reverse auction to let users proactively express their delay tolerance by submitting bids. The explosive traffic demands and limited capacity provided by the current cellular networks, Delay Tolerant Networking (DTN) is used to migrate traffic from the cellular networks to the free and high capacity device-to-device networks. Since these networks can only provide intermittent connectivity to mobile users, utilizing them for cellular traffic offloading may result in a non-negligible delay. In this paper, we proposing a novel technique called dynamic cellular offloading to enable a cellular service provider to purchase and leverage third-party resources on demand through reverse auctions. Dynamic cellular offloading has several important features like explicit spatial coverage of different users, dynamic nature of traffic demands, effective truth valuation in bidding process. With this technique, we are using optimal algorithm to determine the optimal solution that minimizes the incentive cost during traffic offloading. Our trace-driven simulation shows that this method effectively reduces cost and is robust against collusion. Our prototype implementation demonstrates its feasibility. Keywords— Cellular traffic offloading, Delay Tolerant Networking (DTN), WiFi hotspots.