Molecular Arithmetic Coding (MAC) for Internet of Bio-Nano Things (IoBNT)
CoRR(2024)
摘要
Molecular Communication (MC) has emerged as a promising paradigm employing
molecules to transfer information at the nano-scale. Unlike MC channel coding,
MC source coding has remained mostly an unexplored area of research. In a
recent paper, prefix source coding was introduced into the field, through an
MC-adapted version of the Huffman Coding. In the context of MC source coding,
this paper proposes the Molecular Arithmetic Coding (MAC) whose algorithmic
implementation and code-structure is non-arbitrarily different than that of the
widely-known classical arithmetic coding. MAC is designed to mitigate
Inter-Symbol Interference (ISI) for alphabets with known symbol probabilities
through, in a highly efficient way, avoiding consecutive 1-bits. However, due
to bit precision limitations any arithmetic coding method faces, without any
assumption made on the structure of the symbol alphabet, unique-decodability of
MAC is not guaranteed. Accordingly, a uniquely-decodable new coding scheme
named Molecular Arithmetic with Prefix Coding (MAPC) is also introduced. Across
multiple alphabets, we show that MAPC provides a better compression performance
compared to the optimal MC-adapted prefix coding. Simulation results of an
exemplary alphabet demonstrates the superior symbol and word error rate
performance of MAPC compared to the optimal MC-adapted prefix coding and to the
uncoded BCSK schemes.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要