In this paper, we propose an optimized transmission scheme with energy-harvesting for a diffusion-based molecular communication system composed by nano-devices fed by piezoelectric nanogenerators. To this end, we firstly derive a system model that analytically describes the mean and the variance of the aggregated noise at the output of the receiver and the achievable Bit Error Rate. Then, we formulate an optimization problem that minimizes an objective function defined as a linear combination of the probability that the voltage across the ultra-nanocapacitor of the transmitter goes under a target value and the number of enqueued packets. We solve this problem by considering the actual energy budget, a target Bit Error Rate, and the need to achieve the simplicity of the transmitter as constraints. Finally, we use computer simulations to validate the formulated analytical models and demonstrate the unique ability of the proposed approach to guarantee $\textit {BER} = {5}\%$ and $\textit {BER} = {10}\%$ for communication distances up to 47 $\mu {m}$ and 50 $\mu {m}$ , respectively, while registering better results against baseline scenarios.

中文翻译：

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基于扩散的分子通信的优化能量收集传输方案

在本文中，我们提出了一种基于扩散的分子通信系统的能量收集优化传输方案，该系统由压​​电纳米发电机供电的纳米器件组成。为此，我们首先推导出一个系统模型，该模型分析地描述了接收器输出端聚合噪声的均值和方差以及可实现的误码率。然后，我们制定了一个优化问题，使目标函数最小化，该目标函数定义为发射器超纳米电容器两端的电压低于目标值的概率与排队数据包数量的线性组合。我们通过考虑实际能量预算、目标误码率和实现发射机简单性的需要作为约束来解决这个问题。最后， $\textit {BER} = {5}\%$和 $\textit {BER} = {10}\%$通信距离可达 47 $\mu {m}$和 50 $\mu {m}$ ，同时针对基线情景注册更好的结果。