Capacity of LTI-Poisson channel for diffusion based molecular communication
作者： Gholamali Aminian , Hamidreza Arjmandi , Amin Gohari , Masoumeh Nasiri Kenari , Urbashi Mitra
关键词: Mathematics 、 Transmission (telecommunications) 、 Molecular communication 、 Channel capacity 、 Bounding overwatch 、 Poisson distribution 、 Mathematical optimization 、 Applied mathematics 、 Upper and lower bounds 、 Kullback–Leibler divergence 、 Mutual information
摘要: The LTI-Poisson model is a natural extension of the conventional memoryless Poisson channel to include memory, and can ISI effect in diffusion based molecular communication networks. In this paper, we exploit prior art on linear channels provide computable finite-letter characterization capacity single-hop Then find more explicit single-letter lower upper bounds point case. Further, an approach for bounding mutual information low SNR regime using symmetrized KL divergence introduced its applicability demonstrated. This leads non-trivial bound with maximum transmission constraint regime, which best our knowledge first such bound.
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