Feedback-Controlled Adaptive Signal Detection Scheme for Diffusion-Based Molecular Communication Systems

This paper proposes a feedback-controlled adaptive method for detecting signals in diffusion-based molecular communication (MC) systems. Signal detection via receiver nanomachine is critical challenge the exchange of information MC Incorrect estimations or small errors signal can lead to high data errors. Existing methods improving performance require time costs computational complexity. simple and practical that enables nanomachines automatically estimate times according measured concentrations weighted feedback The proposed adjusts even when initial parameter values system are unknown nanomachines. Simulations were performed evaluate bit error rate existing terms different rates, transmission distances, estimation lengths under conditions. simulation results reveal implementation simpler demonstrates superior compared with methods.