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

翻译：信道记忆与符号间干扰（ISI）是扩散型分子通信（DBMC）中生物纳米传感器间的有害因素。为解决这些问题，本文提出一种轻量级的ISI抑制编码方案，通过采用约束码对信号进行整形来提升系统性能。为从理论上表征所提编码方案，我们基于中心极限定理推导了误码率（BER）和可达速率的解析表达式。通过计算机仿真验证了理论结果的准确性，并证明了所提编码方案相较于现有编码方案的优越性。