Talking Ink：用于有效信道建模和探测器基准测试的基于流的多分子分子通信测试平台
Talking Ink: A Flow-Based Multi-Molecule Molecular Communication Testbed for Effective Channel Modeling and Detector Benchmarking
AI总结：
该研究提出基于流的多分子分子通信测试平台，用三色墨水传输信号，测量不同距离脉冲响应并解释为有效信道脉冲响应，比较模型家族，通过MUMO开关键控测量联系信道与性能，改进能量差检测，实现探测器基准测试及零误差，确立平台可重复使用。
AI中文摘要：
实际的分子通信（MC）测试平台对于将理论概念转化为未来应用至关重要，同时要保持物理真实性、可及性和实验可重复性。我们提出了一种基于流的MC实验系统，用于使用青色、品红色和黄色墨水作为可区分的分子状信号载体进行实时多分子（MUMO）传输。三个微型泵和一个多针注射系统将墨水释放到背景流通道中，一个非侵入式光谱传感器估计在可变收发器距离处接收到的颜色轨迹。该平台支持测量不同距离的孤立脉冲响应。我们将这些测量解释为由有限释放、流传播和接收器读出形成的有效端到端信道脉冲响应（CIR），并比较两个紧凑的模型家族。两者都再现了大部分主要的到达时间和脉冲形状，而尾部不匹配仍然是主要限制。我们通过连续的MUMO开关键控（OOK）有效载荷测量将此信道表征与通信性能联系起来。由此产生的具有全数据参数优化的回顾性基准包括仅跟踪和CIR辅助方法。我们引入了改进的能量差检测（MEDD），它是标准能量差检测（EDD）的自适应扩展。MEDD以34/4500 = 0.76%的误码率（BER）优于所有其他仅跟踪探测器，并接近最佳的总体最小均方误差（MMSE）结果32/4500 = 0.71%。经过有针对性的参数调整，探测器基准在8厘米处6比特/秒和24厘米处3比特/秒的评估有效载荷上产生零误差。总体而言，结果将该平台确立为用于有效信道建模、实际探测器基准测试和未来多分子网络实验的可重复使用实验装置。
英文摘要：
Practical molecular communication (MC) testbeds are essential for translating theoretical concepts toward future applications while retaining physical realism, accessibility, and experimental repeatability. We present a flowbased MC experimental system for real-time multi-molecule (MUMO) transmission using cyan, magenta, and yellow inks as distinguishable molecule-like signaling carriers. Three micropumps and a multi-needle injection system release the inks into a background-flow channel, and a non-invasive spectral sensor estimates received color traces at variable transmitter-receiver distances. The platform supports measurements of isolated-pulse responses across distances. We interpret these measurements as effective end-to-end channel impulse responses (CIRs) shaped by finite release, flow propagation, and receiver readout, and compare two compact model families. Both reproduce much of the dominant arrival timing and pulse shape, while late-tail mismatch remains the main limitation. We connect this channel characterization to communication performance through continuous MUMO on-off keying (OOK) payload measurements. The resulting retrospective benchmark with full-data parameter optimization includes traceonly and CIR-assisted methods. We introduce modified energydifference detection (MEDD), an adaptive extension of standard energy-difference detection (EDD). MEDD outperforms all other trace-only detectors with 34/4500 = 0.76% bit error rate (BER) and closely approaches the best overall minimum mean-square error (MMSE) result of 32/4500 = 0.71%. After targeted parameter tuning, the detector benchmark produces zero errors over the evaluated payloads at 6 bit/s over 8 cm and at 3 bit/s over 24 cm. Overall, the results establish the platform as a reusable experimental setup for effective channel modeling, practical detector benchmarking, and future multi-molecule networking experiments.
