“…MATLAB simulation and analysis of the performance of the AHP algorithm [6], mobility load balancing (MLB) algorithm [21], and the proposed IFB algorithm in the overlapping regions of LTE, WiMAX, and WiFi were conducted from the perspectives of blocking rate, local balancing, user-network profits, and comprehensive profits. Load balancing was expressed by the Jain fairness index [22]; user profit [19] was defined as the weighted average of four indexes (data rate, delay, frame error ratio, and expense) gained by each user; data rate was normalized by profit, and rest indexes were normalized by cost indexes; network profit was defined as the weighted average of three indexes (expenses, blocking rate, and data rate) after each user was accessed into the network; expense was normalized by profit indexes, whereas the blocking and data rates were normalized by cost indexes; the comprehensive profit was equal to the weighted average of user and network profits. In order to make a fair comparison of the related algorithms, every simulation under the same parameter is repeated for many times, and finally the simulation results are averaged and presented in the figures from Figure 5 to 8.…”