Improving Reliability Performance of Diffusion-based Molecular Communication With Adaptive Threshold Variation Algorithm

摘要: In this work, we investigate the communication reliability for diffusion-based molecular communication, using indicator of bit error rate (BER). A classified model is established to divide molecules into three parts, which are signal, inter-symbol interference (ISI) and noise. We expand each part separately absorbing probability, connect them by a traditional-like formula. Based on model, do theoretical analysis prove feasibility improving BER performance. Accordingly, an adaptive threshold variation (ATV) algorithm designed in demodulation implement goal, makes receiver adapt channel condition properly through learning process. Moreover, complexity ATV calculated its performance various noisy discussed. An expression Signal Interference plus Noise Ratio (SINR) defined verify system test some important parameters as well simulation section. The results have shown gain proposal.