Throughput Satisfaction-Based Multi-Priority Channel Allocation with Channel-Switching for WiFi.

With the trend of WiFi pervasively applied in life, WiFi multicast has gained extensive attention in rich multimedia content provision. Unfortunately, the multicast rates remain low in crowded scenarios with severe interference and collisions. Moreover, existing channel allocation algorithms lack in-depth study on per-user throughput requirements. This paper proposes a multi-priority task channel allocation method with task channel-switching to maximize the weighted user’s throughput satisfaction rate. In this method, we first design a 0-1 integer nonlinear programming model to describe the channel allocation problem in the scenario of a WiFi multicast task and other tasks with different priorities. Then, to lower the complexity of solving integer nonlinear programming problems, we design a greedy algorithm to obtain high-efficiency channel allocation solutions. The simulation results validate the efficiency of our proposed method in terms of user throughput satisfaction rate.