Performance Analysis of D-MoSK Modulation in Mobile Diffusive-Drift Molecular Communications

Jiaxing Wang, Xiqing Liu, Mugen Peng, Mahmoud Daneshmand

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Molecular communication (MC), in which molecules serve as the carrier for data transmission, plays an essential role in nanonetworks. In this article, a mobile diffusive-drift MC model is investigated, which consists of a mobile transmit nanomachine (TN) and a mobile receive nanomachine (RN). The depleted molecule shift keying (D-MoSK) modulation is utilized in this model to perform end-to-end communication. To explore the performance of D-MoSK, we derive the closed-form expressions of symbol error rate (SER) as well as the channel capacity, and then we give out the numerical results. It is observed from the numerical results that, if compared with the molecule shift keying modulation, the D-MoSK modulation can exhibit better performances in terms of SER, channel capacity, and complexity under the employed model. Also, the impacts of several crucial parameters on the performance are evaluated and discussed comprehensively. The obtained results are expected to provide guidance significance for the design of a practical mobile diffusive-drift MC system.

Original languageEnglish
Article number9099827
Pages (from-to)11318-11326
Number of pages9
JournalIEEE Internet of Things Journal
Volume7
Issue number11
DOIs
StatePublished - Nov 2020

Keywords

  • Depleted molecule shift keying (D-MoSK)
  • diffusive drift
  • molecular communication (MC)
  • symbol error rate (SER)

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