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Linear Receiver Design for Time-Varying Poisson Molecular Communication Channels with Memory

机译:具有存储的时变泊松分子通信通道的线性接收器设计

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This work investigates novel approaches for designing the linear filter and the threshold of the memory-less detector in the receiver of a diffusion based molecular communication system. We focus on the case where the transmitted symbols propagate through a Poisson channel with memory that introduces inter-symbol interference. Inspired by the theory of filtering under Poisson regime and considering all the possible mean values of the interference, we propose two new design methods for computing the coefficients of the filter. While in the development of the theory under Poisson regime the interference is not considered in the design of the filter, in our proposal we take it into account in the time-variation of the mean value. Since the proposed approach gives better performance for low transmission rate, another design based on linear programming is proposed for the high-rate case. For the design of the detector’s threshold we use an averaging method over the output of the receiving filter. The performance of the two proposed designs, in terms of bit error rate, is compared to that achieved by an approach which is based on the maximization of the signal-to-interference plus noise ratio (SINR). We show that our design achieves almost the same performance of the maximum SINR one with the advantage of lower computational cost to obtain receiver coefficient s and threshold.
机译:这项工作研究了新颖的方法,用于设计基于扩散的分子通信系统的接收器中的线性滤波器和无记忆检测器的阈值。我们关注的是传输的符号通过带有符号间干扰的内存的泊松信道传播的情况。受泊松体制下的滤波理论启发并考虑所有可能的干扰平均值,我们提出了两种新的设计方法来计算滤波器的系数。尽管在泊松制度下的理论发展过程中,滤波器的设计中并未考虑干扰,但在我们的建议中,我们将平均值的时变考虑在内。由于所提出的方法在低传输速率下具有更好的性能,因此针对高速率情况提出了另一种基于线性规划的设计。对于检测器阈值的设计,我们对接收滤波器的输出使用平均方法。将两种提出的设计的性能(就误比特率而言)与通过一种基于信号干扰加噪声比(SINR)最大化的方法所实现的性能进行了比较。我们表明,我们的设计实现了与最大SINR几乎相同的性能,并具有较低的计算成本来获得接收器系数s和阈值。

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