LAUSR

The molecular communication via diffusion (MCvD) is one of the most promising techniques for nano-networks due to its advantages of bio-compatibility and energy efficiency. Due to the diffusion nature of the molecules, the peak time of the channel impulse response (CIR) is relatively large. To avoid severe inter-symbol-interference effect, the symbol interval is usually set larger than the peak time of the CIR. Therefore, the data rate becomes the main limitation of MCvD. In this letter, a derivative-based detection scheme is proposed based on the properties that the peak time of the CIR’s derivative is much shorter than that of CIR itself and the tail of CIR’s derivative vanishes much faster than that of the CIR. The simulation results demonstrate that the proposed scheme performs better than the state-of-the-art detection schemes in terms of bit error rate (BER) at high data rate where the symbol interval is shorter than the peak time of CIR. The impacts of the relative symbol interval, released molecule number, sampling rate, and receiver volume on the BER performance of the proposed scheme are investigated.