2017
DOI: 10.1016/j.nancom.2017.07.002
|View full text |Cite
|
Sign up to set email alerts
|

Capacity analysis for diffusive molecular communication with ISI channel

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2018
2018
2020
2020

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(12 citation statements)
references
References 20 publications
0
12
0
Order By: Relevance
“…2) The exponential curve is a natural fit for the considered phenomenon. When there is a large number of transmitted potassium ions, the distribution of the received ions at the receiver can be approximated as a Poisson distribution [42]. This distribution belongs to the class of exponential families of distributions.…”
Section: Numerical Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…2) The exponential curve is a natural fit for the considered phenomenon. When there is a large number of transmitted potassium ions, the distribution of the received ions at the receiver can be approximated as a Poisson distribution [42]. This distribution belongs to the class of exponential families of distributions.…”
Section: Numerical Simulation Resultsmentioning
confidence: 99%
“…The ISI can be eliminated unless the signal propagation duration is infinite. One approach is to use a dynamic threshold detection technique [42]. We consider the ISI by taking into account the impact of the previously emitted ions, but simplify the detection procedure with a predefined threshold detection to avoid the computational burden.…”
Section: Relation Between the Ionic Injection And The Membrane Potmentioning
confidence: 99%
“…where the subscript j varies from 1 and 4 depending on the level of the concentration that is being considered. The value of x i (t max ) is calculated by using (7). The term N i in 7is obtained by the multiplication of the volume of the receiver cell V RX and C i , i.e.…”
Section: A Parametersmentioning
confidence: 99%
“…Similarly, in [6] the authors analyze the capacity of the channel considering both the diffusion-based channel and the ligand-based receiver. Another work in [7] presents the analysis of the channel capacity in diffusive MC by considering intersymbol interference (ISI) from all the previous time slots and the channel transmission probability in each of them. The results in their work show that the channel capacity can be maximized with an optimal lower bit error probability by controlling the channel transmission probability in each time slot.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, studies on time-slotted communication systems for MC-based nanonetworks (MCN) have begun to emerge [4]- [7]. In it, time is divided into subunits called time-slots, where a transmitter nanomachine transmits a signal at the beginning of a time-slot, and the receiver nanomachine expects to receive the signal at an intended time-slot.…”
Section: Introductionmentioning
confidence: 99%