2014
DOI: 10.1002/dac.2730
|View full text |Cite
|
Sign up to set email alerts
|

Channel capacity analysis of a diffusion‐based molecular communication system with ligand receptors

Abstract: Summary Diffusion‐based communication is one of the most dominating forms in the micrometer and nanoscale communications. Generally, information is coded in molecules that are released by a transmitter nanomachine, propagated via a diffusion‐based channel, and then received by a receiving nanomachine (called receiver). The receiver considered in this paper is equipped with multiple ligand receptors. The molecular communication system in this paper is single hop and SISO. Namely, there is only a channel connect… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
16
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 24 publications
(16 citation statements)
references
References 32 publications
0
16
0
Order By: Relevance
“…The existing literature on the linear model simplify the problem by discarding the channel memory. In this approach, the molecular channel is approximated by a memoryless channel (in many cases, a channel with binary input alphabet) whose capacity can be readily found by maximizing the input-output mutual information (e.g., see [55,56,39]). Thus, while these papers might be valuable in the context of modeling, they are not exciting to information theorists.…”
Section: Linear Modelmentioning
confidence: 99%
“…The existing literature on the linear model simplify the problem by discarding the channel memory. In this approach, the molecular channel is approximated by a memoryless channel (in many cases, a channel with binary input alphabet) whose capacity can be readily found by maximizing the input-output mutual information (e.g., see [55,56,39]). Thus, while these papers might be valuable in the context of modeling, they are not exciting to information theorists.…”
Section: Linear Modelmentioning
confidence: 99%
“…1,6 Some other works focus on the particle feature (motion of discrete molecules). 11 Indicators including channel capacity, 12,13 delay, 14 and BER 15 are investigated, respectively, based on the knowledge of channel estimation. Most of the works adopt synchronous mechanism, ie, time slots are used to transmit bits.…”
Section: Related Workmentioning
confidence: 99%
“…In this paper, we simulate the channel with discrete values of D. We set the transceiver distance r as 1 to 20 m, which follows the setup of the works of Liu and Yang 26 and Atakan et al 34 The ratio of binding/releasing rate, as well as the density of receptors, varies following the settings of the 3 studies. 12,35,36 In this paper, molecules quantity per bit M is set as 500. The setup of mainly refers to the result of Figures 6 and 7, which varies from 30 to 90.…”
Section: Parameter Settingmentioning
confidence: 99%
“…In the third type of diffusion-based communication, molecules propagate through spontaneous diffusion in a fluidic medium. [13][14][15] The last type of communication is the most general and common communication type in nature. As a consequence, most existing biological simulators focuses on models using a transmitter, releasing information molecules to the environment, and a receiver, sensing fluctuations in the concentration of information molecules and reacting accordingly.…”
mentioning
confidence: 99%