MC-BRIDGE：用于基于有机电化学晶体管的分子通信的模块化接收链仿真框架
MC-BRIDGE: A Modular Receiver-Chain Simulation Framework for OECT-Based Molecular Communication
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中文总结 AI 辅助
研究基于OECT的分子通信，提出MC-BRIDGE模块化框架，连接多种过程到电荷域检测，能生成噪声、支持多种键控，通过公共接口估计相关指标并分析干扰，经测试得出满足SER目标的预算上限，揭示多种因素对接收器结论的影响。
中文摘要 AI 辅助
基于有机电化学晶体管（OECT）的分子通信（MC）接收器将传输、结合与设备电流、噪声、校准和检测联系起来。我们提出了MC-BRIDGE（分子通信生物电子接收链集成设计与引导评估），这是一个模块化框架，将释放、细胞外扩散、有限区域观察、随机结合和OECT转导与电荷域检测联系起来。它在独立的电时间网格上生成序列范围内的多通道有色噪声，执行控制通道参考和电荷积分，并支持分子移键控（MoSK）、浓度移键控（CSK）和混合决策。通过公共模块接口，它估计符号错误率（SER）和解码符号互信息，并分析符号间干扰（ISI）。在标称间距下，无源有限区域观测器保留中心点决策电荷量的27.5%，而选择通道和控制通道之间的相关性决定了控制参考是否有帮助。经过自适应搜索后，与搜索和校准测试种子不相交的保留记录测试选定预算和次低预算，得出满足SER目标的最小预算的测试网格上限。这种无源场测试重置受体占有率，排除ISI，并在每个工作点的单独记录上校准阈值。保留传输和受体记忆会产生较高的SER。因此，几何形状、协方差、校准和记忆会改变接收器的结论。
英文摘要
Organic electrochemical transistor (OECT)-based molecular communication (MC) receivers connect transport and binding to device current, noise, calibration, and detection. We present MC-BRIDGE (Molecular Communication Bioelectronic Receiver-chain Integrated Design and Guided Evaluation), a modular framework linking release, extracellular diffusion, finite-area observation, stochastic binding, and OECT transduction to charge-domain detection. On an independent electrical time grid, it generates sequence-wide multichannel colored noise, performs control-channel referencing and charge integration, and supports molecule-shift-keying (MoSK), concentration-shift-keying (CSK), and Hybrid decisions. Through common module interfaces, it estimates symbol error rate (SER) and decoded-symbol mutual information and analyzes inter-symbol interference (ISI). At nominal separation, the passive finite-area observer retains 27.5 percent of the center-point decision-charge magnitude, while correlation between the selective and control channels determines whether control referencing helps. After adaptive search, held-out records with seeds disjoint from search and calibration test the selected and next-lower budgets, yielding a tested-grid upper bound on the minimum budget meeting the SER target. This passive-field test resets receptor occupancy, excludes ISI, and calibrates thresholds on separate records at each operating point. Retaining transport and receptor memory instead produces high SER. Thus, geometry, covariance, calibration, and memory can change receiver conclusions.
