A Measurement-Based Algorithm to Maximize the Utility of Wireless Networks
The goal of jointly providing fairness and efficiency in wireless networks can be seen as the problem of maximizing a given utility function. The main difficulty when solving this problem is that the capacity region of wireless networks is typically unknown and time-varying, which prevents the usage of traditional optimization tools. As a result, scheduling and congestion control algorithms are either too conservative because they under-estimate the capacity region, or suffer from congestion collapse because they over-estimate it. The authors propose a new adaptive congestion control algorithm, called Enhance & Explore (E&E).