Femtosecond-Long Pulse-Based Modulation for Terahertz Band Communication in Nanonetworks

Jornet, Josep Miquel; Akyildiz, Ian F.

doi:10.1109/tcomm.2014.033014.130403

Cited by 310 publications

(215 citation statements)

References 38 publications

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“…We consider that nanosensors communicate by using an on-off keying modulation spread in time (TS-OOK) [13]. Under this scheme, logic ''1''s are transmitted as very short pulses, just one hundred femtoseconds long, whereas logic ''0''s are transmitted as silence.…”

Section: Bit Error Ratementioning

confidence: 99%

“…H r in (1) refers to the receiver frequency response, which we consider an ideal low-pass filter with bandwidth B, for the time being. The molecular absorption noise at the receiver, N 0 , is additive, Gaussian, colored and correlated to the transmitted signal [13]. The noise probability density function (p.d.f.…”

Section: Bit Error Ratementioning

confidence: 99%

“…The physical layer is built on top of a recently proposed modulation scheme based on the transmission of femtosecond-long pulses spread in time [13]. At the link layer, we consider that nanomachines access the channel in an unregulated fashion as in [14], and account for the impact of multi-user interference.…”

Section: Introductionmentioning

confidence: 99%

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Joint physical and link layer error control analysis for nanonetworks in the Terahertz band

et al. 2015

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Nanonetworks consist of nano-sized communicating devices which are able to perform simple tasks at the nanoscale. The limited capabilities of individual nanomachines and the Terahertz (THz) band channel behavior lead to error-prone wireless links. In this paper, a cross-layer analysis of error-control strategies for nanonetworks in the THz band is presented. A mathematical framework is developed and used to analyze the tradeoffs between Bit Error Rate, Packet Error Rate, energy consumption and latency, for five different error-control strategies, namely, Automatic Repeat reQuest (ARQ), Forward Error Correction (FEC), two types of Error Prevention Codes (EPC) and a hybrid EPC. The cross-layer effects between the physical and the link layers as well as the impact of the nanomachine capabilities in both layers are taken into account. At the physical layer, nanomachines are considered to communicate by following a time-spread on-off keying modulation based on the transmission of femtosecond-long pulses. At the link layer, nanomachines are considered to access the channel in an uncoordinated fashion, by leveraging the possibility to interleave pulse-based transmissions from different nodes. Throughout the analysis, accurate path loss, noise and multi-user interference models, validated by means of electromagnetic simulation, are utilized. In addition, the energy consumption and latency introduced by a hardware implementation of each error control technique, as well as, the additional constraints imposed by the use of energy-harvesting mechanisms to power the nanomachines, are taken into account. The results show that, despite their simplicity, EPCs outperform traditional ARQ and FEC schemes, in terms of error correcting capabilities, which results in further energy savings and reduced latency.

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Section: Bit Error Ratementioning

confidence: 99%

Section: Bit Error Ratementioning

confidence: 99%

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Joint physical and link layer error control analysis for nanonetworks in the Terahertz band

et al. 2015

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“…Furthermore, the noise model was updated in [7] and it had been pointed out that the molecular absorption of the transmitted signal should be an additional noise source in the THz band. Then, such models were further investigated and applied in [8][9][10]. The different physical causes and mechanisms behind the absorption and emission were also studied in [11].…”

Section: Introductionmentioning

confidence: 99%

“…The different physical causes and mechanisms behind the absorption and emission were also studied in [11]. However, the molecular absorption noise model proposed by [8] is not fully comprehensive, since the distance-dependent spread path loss is not considered, which should also be added in the energy conservation.…”

Section: Introductionmentioning

confidence: 99%

Modelling of the terahertz communication channel for in-vivo nano-networks in the presence of noise

Zhang

Yang

Alomainy

et al. 2016

2016 16th Mediterranean Microwave Symposium (MMS)

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Abstract-This paper focuses on the modelling of communication channel noise inside human tissues at the THz band (0.1-10THz). A novel model is put forward based on the study of the physical mechanism of the channel noise in the medium, which takes into account both the radiation of the medium and the molecular absorption from the transmitted signal. The derivation and the general concepts of the noise modelling is detailed in the paper. The results show that the channel noise power spectral density at the scale of several micrometres is at acceptable levels and the value tends to decrease with the increase of both distance and frequency. In addition, the channel noise is also related to the composition of the human tissues, with the result of higher channel noise in tissues with higher water concentration. The conclusion drawn from the conducted study and analysis paves the way for more comprehensive characterisation of the electromagnetic channel within in-vivo nano-networks.

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Application of Nanobiosensors for Food Safety Monitoring

Raghu

Parkunan

Kumar

2020

Environmental Chemistry for a Sustainable World

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Femtosecond-Long Pulse-Based Modulation for Terahertz Band Communication in Nanonetworks

Cited by 310 publications

References 38 publications

Joint physical and link layer error control analysis for nanonetworks in the Terahertz band

Joint physical and link layer error control analysis for nanonetworks in the Terahertz band

Modelling of the terahertz communication channel for in-vivo nano-networks in the presence of noise

Application of Nanobiosensors for Food Safety Monitoring

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