Mobile Agents with Recurrent Neural Networks-based Computing Model for Echo Cancellation Problem.

The purpose of this paper is to draw attention to a novel solving method for AEC problem and to search for a solution based on mobile agents (MAs) technology. Several applications benefit already by the use of MAs technology and we now want to join a soft computing technology as recurrent neural networks (RNNs) for this problem’s area in communication systems. In this paper we propose a MAs with RNNs-based, so as pipelined recurrent neural networks (PRNNs), computing model for AEC’s problem in communication systems. Prediction of echo paths can be performed by RNNs and PRNNs based processing. The results about the faced problem in communication systems, where the use of MAs with RNNs implementation might be an improvement over a more conventional solutions, are here summarized, presented and evaluated. Satisfactory performance in echo cancellation were obtained. The two echo signals input, as echo remote and echo local are provided as inputs to the RNN and PRNN and the echo output prediction shows a relevant reduction evaluated as 60 db.