Run-Length-Limited ISI-Mitigation (RLIM) Coding for Molecular Communication

IF 2.5 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Melih Şahin;Ozgur B. Akan
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引用次数: 0

Abstract

Inter-symbol interference (ISI) limits reliability in diffusion-based molecular communication (MC) channels. We propose RLIM, a family of run-length-limited (RLL) codes that form fixed-size codebooks by minimizing the total number of 1-bits, increasing the per-symbol molecule budget under standard power normalizations and thus improving reliability. We develop a provably optimal linear-time greedy decoder that is equivalent to Viterbi decoding under a deterministic last-wins tie-break and has lower computational complexity; empirically, it outperforms first-wins and random Viterbi variants on RLL baselines. Extensive binomial and particle-tracking simulations show that RLIM achieves lower bit error rate (BER) than classical RLL and other prominent coding schemes across a broad range of scenarios.
基于RLIM编码的分子通信研究
符号间干扰(ISI)限制了扩散型分子通信(MC)信道的可靠性。我们提出了RLIM,这是一组运行长度限制(RLL)代码,通过最小化1位的总数来形成固定大小的码本,在标准功率归一化下增加每个符号的分子预算,从而提高可靠性。我们开发了一种可证明的最优线性时间贪婪解码器,该解码器等效于确定性最后获胜平局下的Viterbi解码,并且具有较低的计算复杂度;根据经验,它在RLL基线上优于第一胜和随机Viterbi变体。广泛的二项和粒子跟踪模拟表明,在广泛的场景下,RLIM比经典的RLL和其他著名的编码方案实现了更低的误码率(BER)。
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来源期刊
CiteScore
3.90
自引率
13.60%
发文量
23
期刊介绍: As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.
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