Sensor-assisted ALOHA for wireless networks

A neural network-based system for stabilizing ALOHA random access networks is described. A grid of sensors is used to gather energy measurements for a neural network. The neural network has been trained to estimate the number of colliding users in a given slot, supporting an algorithm that tracks the number of backlogged users in the system.