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Molecular Type Spread Molecular Shift Keying for Multiple-Access Diffusive Molecular Communications
- Source :
- IEEE Transactions on Molecular, Biological and Multi-Scale Communications. 7:51-63
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In nano-networking, many nano-machines need to share common communication media, in order to achieve information exchange and data fusion. Multiple-access is an important technique for multiple nano-machines to send information to one access point (AP) or fusion center. Built on the Molecular Shift Keying (MoSK) modulation, this article proposes a novel Molecular Type Spread MoSK (MTS-MoSK) scheme for achieving multiple-access transmission in diffusion-based molecular communications (DMC). Correspondingly, two detection schemes are introduced and investigated, which are the Maximum Selection assisted Majority Voter Detection (MS-MVD) and Equal-Gain Combining Detection (EGCD). The error performance of the MTS-MoSK DMC systems with respectively the two detection schemes is analyzed, when both Multiple-Access Interference (MAI) and Inter-Symbol Interference (ISI) are taken into account. Furthermore, the performance of MTS-MoSK DMC systems is investigated and compared with the aid of analytical results as well as Monte-Carlo and particle-based simulations. Our studies and performance results show that MTS-MoSK constitutes a promising candidate for implementing multiple-access DMC, and MS-MVD has the potential to outperform EGCD in DMC.
- Subjects :
- Computer Networks and Communications
Computer science
Monte Carlo method
020206 networking & telecommunications
Bioengineering
Keying
02 engineering and technology
021001 nanoscience & nanotechnology
Interference (wave propagation)
Sensor fusion
Transmission (telecommunications)
Modulation
Modeling and Simulation
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical and Electronic Engineering
0210 nano-technology
Fusion center
Information exchange
Biotechnology
Subjects
Details
- ISSN :
- 23327804
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Molecular, Biological and Multi-Scale Communications
- Accession number :
- edsair.doi.dedup.....e207048cfb02e4176128e2f767559d0c
- Full Text :
- https://doi.org/10.1109/tmbmc.2020.3041182