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Using spatial partitioning to reduce the bit error rate of diffusion-based molecular communications
- Publication Year :
- 2019
-
Abstract
- This work builds on our earlier work on designing demodulators for diffusion-based molecular communications using a Markovian approach. The demodulation filters take the form of an ordinary differential equation (ODE) which computes the log-posteriori probability of observing a transmission symbol given the continuous history of receptor activities. A limitation of our earlier work is that the receiver is assumed to be a small cubic volume called a voxel. In this work, we extend the maximum a-posteriori demodulation to the case where the receiver may consist of multiple voxels and derive the ODE for log-posteriori probability calculation. This extension allows us to study receiver behaviour of different volumes and shapes. In particular, it also allows us to consider spatially partitioned receivers where the chemicals in the receiver are not allowed to mix. The key result of this paper is that spatial partitioning can be used to reduce bit-error rate in diffusion-based molecular communications.<br />39 pages, 20 figures, submitted for possible publication in IEEE
- Subjects :
- FOS: Computer and information sciences
Computer science
Information Theory (cs.IT)
Computer Science - Information Theory
Ode
Markov process
020206 networking & telecommunications
02 engineering and technology
021001 nanoscience & nanotechnology
symbols.namesake
Transmission (telecommunications)
Ordinary differential equation
0202 electrical engineering, electronic engineering, information engineering
Bit error rate
symbols
Maximum a posteriori estimation
Demodulation
Electrical and Electronic Engineering
0210 nano-technology
Space partitioning
Algorithm
Computer Science::Information Theory
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....ad872824905a34f261c154ffccf8f305