Cellular network assignment processor using minimum/maximum convergence technique.

摘要

A cellular network assignment processor (10) for solving optimization problems utilizing a neural network architecture having a matrix of simple processing cells (12) that are highly interconnected in a regular structure. The cells (12) accept as input, costs in an assignment problem. The position of each cell (12) corresponds to the position of the cost in the associated constraint space of the assignment problem. Each cell (12) is capable of receiving, storing and transmitting cost values and is also capable of determining if it is the maximum or the minimum of cells (12) to which it's connected. Operating on one row of cells (12) at a time the processor (10) determines if a conflict exists between selected connected cells (12) until a cell (12) with no conflict is found in each row. The end result is a chosen cell (12), in each row, the chosen cells (12) together representing a valid solution to the assignment problem.