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Channel memory and inter-symbol interference (ISI) are harmful factors indiffusion-based molecular communication (DBMC) between bionanosensors. Totackle these problems, this paper proposes a lightweight ISI-mitigating codingscheme to improve the system performance by shaping the signal using aconstrained code. To characterize the proposed coding scheme theoretically, wederive analytical expressions for the bit error rate (BER) and the achievablerate based on Central Limit Theorem. Computer simulations are conducted toverify the accuracy of the theoretical results and demonstrate the superiorityof the proposed coding scheme compared with the existing coding schemes.

Lightweight Channel Codes for ISI Mitigation in Molecular Communication between Bionanosensors