C4. Vertical handoff in heterogeneous wireless networks with predictive SINR using GM(1, 1)

Heterogeneous wireless network consists of various wireless networks, WiMAX, WiFi and cellular communications. Future wireless networks must be able to coordinate services within a diverse-network environment. One of the challenging problems for coordination is vertical handoff. In this article a Multi-attributes SINR Based Vertical Handoff Algorithm for Next Generation Heterogeneous Wireless Networks with Predictive SINR Using GM (1, 1) is proposed. The proposed algorithm uses the combined effects of SINR, user required bandwidth, user traffic cost, utilization from participating access networks and user preference to make handoff decision QoS aware which cannot be achieved with the use of traditional RSS as a vertical handoff criteria. The problem of when to trigger handoff request is handled by using GM (1, 1), Grey Model first order one variable, forecasting technique to predict the next SINR value. If it is lower than a pre-specified threshold, handoff request will be fired. Simulation results have shown that the proposed algorithm performs better in terms of less cost to user traffic, higher user satisfaction as well as higher system throughput.