专用物质通信：I部分
Inscribed Matter Communication: Part I
摘要：
我们提供了一个基本的治疗的分子通信通道，其中“铭刻的物质”是通过空间间隙传输，以提供可靠的发送器和接收器之间的信号。铭刻的物质被定义为“记号”的集合（分子、物体等），并且至少部分地受到生物系统的启发，在生物系统中，从分子到含有分子的膜结合结构到病毒和生物体的单独构造的离散颗粒的组由源释放并行进到靶-例如，形态发生剂或化学信息素从一个细胞扩散，组织或有机体扩散到另一个组织或有机体。对于既没有丢失也没有修改的相同令牌，我们考虑使用三种候选通信方案编码的消息：a）令牌定时（定时释放），b）令牌有效载荷（合成），以及c）令牌定时加有效载荷。我们提供了每个方案的容量界限，并讨论了它们的相对效用。我们发现，在不合理的假设下，兆比特每秒的速率可以支持在毫微微瓦发射机功率。由于诸如标记浓度或箱计数的量是标记到达时间的衍生物，因此单独的标记时间支持所有分子通信技术。因此，我们关于有效的基于令牌的信息传输的物理模型和结果可以为工程和生物学中各种理论和实际问题的调查提供信息。这项工作，第一部分，集中在信息理论的能力界限。第二部分发展了一些数学和信息理论的想法，支持这里提出的界限。
英文摘要：
We provide a fundamental treatment of the molecular communication channel wherein "inscribed matter" is transmitted across a spatial gap to provide reliable signaling between a sender and receiver. Inscribed matter is defined as an ensemble of "tokens" (molecules, objects, and so on) and is inspired, at least partially, by biological systems where groups of individually constructed discrete particles ranging from molecules through membrane-bound structures containing molecules to viruses and organisms are released by a source and travel to a target -- for example, morphogens or semiochemicals diffuse from one cell, tissue or organism diffuse to another. For identical tokens that are neither lost nor modified, we consider messages encoded using three candidate communication schemes: a) token timing (timed release), b) token payload (composition), and c) token timing plus payload. We provide capacity bounds for each scheme and discuss their relative utility. We find that under not unreasonable assumptions, megabit per second rates could be supported at femtoWatt transmitter powers. Since quantities such as token concentration or bin-counting are derivatives of token arrival timing, individual token timing undergirds all molecular communication techniques. Thus, our modeling and results about the physics of efficient token-based information transfer can inform investigations of diverse theoretical and practical problems in engineering and biology. This work, Part I, focuses on the information theoretic bounds on capacity. Part II develops some of the mathematical and information-theoretic ideas that support the bounds presented here.
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