Molecular nanonetwork channel model

Kabir, Md. Humaun; Kwak, Kyung Sup

doi:10.1049/el.2013.1948

Cited by 11 publications

(10 citation statements)

References 5 publications

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“…Numerical results are obtained for parameter values typical of short-range molecular communication [18], [19], [20], [23]. We consider diffusion coefficient D ∈ As shown in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

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Performance Analysis of Amplitude Modulation Schemes for Diffusion-Based Molecular Communication

Singhal

Mallik

Lall

2015

IEEE Trans. Wireless Commun.

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In this paper, we investigate modulation techniques for end-to-end communication between two nanomachines placed in a fluid medium. The information is encoded as the number of molecules transmitted leading to such schemes being aptly named as amplitude modulation schemes. The propagation of molecules obeys the laws of Brownian motion with a positive drift from the transmitter to the receiver nanomachine. The channel is characterized by two parameters of the fluid medium: the drift velocity and the diffusion coefficient. Assuming the molecules degrade over time, the life expectancy of the molecules also plays a significant role in such communication scenarios. We consider an M -ary modulation scheme and also propose an extended scheme, which is a slight variation of a binary modulation scheme. The received symbol is corrupted by interference from the previous symbols as well as other noise sources present in the medium. Considering maximum likelihood detection at the receiver, we derive analytical expressions for the end-to-end symbol error probability and the capacity for these modulation schemes. Numerical results bring out the impact of various parameters on the performance of the system. Our results show that these schemes offer a promising approach to set up molecular communication over diffusion-based channels.

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“…Numerical results are obtained for parameter values typical of short-range molecular communication [18], [19], [20], [23]. We consider diffusion coefficient D ∈ As shown in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…As in the case of conventional modulation schemes, these quantitybased techniques can be referred to as amplitude modulation schemes. In [19], a diffusion-based binary modulation scheme has been proposed and its performance has been analyzed. Repeated use of the same channel can give rise to inter-symbol interference (ISI).…”

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confidence: 99%

Performance Analysis of Amplitude Modulation Schemes for Diffusion-Based Molecular Communication

Singhal

Mallik

Lall

2015

IEEE Trans. Wireless Commun.

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“…We now provide two lower and an upper bounds for MC in presence of ISI. While the expressions in (6) and (7) are valid for any k, for tractability, we now assume that the ISI only affects the next time-slot, i.e., molecules are received within two time slots or disappear. This is equivalent to k = 2 and we have P 1 (0) = 1, P 1 (n = 0) = 0.…”

Section: Upper and Lower Boundsmentioning

confidence: 99%

Bounds on the Capacity of ASK Molecular Communication Channels with ISI

Ghavami

Adve

Lahouti

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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There are now several works on the use of the additive inverse Gaussian noise (AIGN) model for the random transit time in molecular communication (MC) channels. The randomness invariably causes inter-symbol interference (ISI) in MC, an issue largely ignored or simplified. In this paper we derive an upper bound and two lower bounds for MC based on amplitude shift keying (ASK) in presence of ISI. The Blahut-Arimoto algorithm (BAA) is modified to find the input distribution of transmitted symbols to maximize the lower bounds. Our results show that over wide parameter values the bounds are close.

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“…Based on this so-called inverse Gaussian noise (IGN) channel, in [2], [5] expressions and bounds for channel capacity are derived when information is encoded on the release time of molecules. The capacity of MC when information is encoded on the concentration of molecules is studied for binary communications in [6], [7] and for binary and 4-ary communications in [8]. In these works, the aggregate distribution of the number of arrived molecules in a time slot is approximated by a Gaussian distribution.…”

Section: Introductionmentioning

confidence: 99%