Coding Distance Function for Diffusion-based Molecular Communication and Its Application
Date Issued
2014
Date
2014
Author(s)
Ko, Pin-Yu
Abstract
Molecular communication is an emerging and promising approach to communications between nanoscale devices due to its biocompatibility nature. In diffusion-based molecular communications, molecules as information carriers diffuse randomly in the fluid medium. Due to the random movements, molecules may arrive at the receiver at random times, resulting in detection errors. Applying channel coding is thus crucial for enhancing the transmission reliability. The paradigm of maximizing the minimum Hamming distance among the codewords has long been used in electromagnetic communication. However, for molecular communication environments, existing distances may be unsuitable because the nature of molecular communication differs from electromagnetic communication. We propose two categories of distance functions - the probability-based distance function and the pattern-based distance function - tailored for diffusion-based molecular communications. We apply minimum distance decoding rules with the proposed distance functions to diffusion-based molecular communication systems. The numerical results show that these decoding rules are near-optimal. The channel coding application in diffusion-based molecular communication is advanced through this thesis.
Subjects
分子通訊
編碼距離函式
Type
thesis
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