On Error Rate Reduction in Sub-Diffusion-Based Mobile Molecular Communication

This work considers the sub-diffusive dynamics of information-carrying molecules (IM) within a molecular communication (MC) channel, focusing on the implementation of mobility at both the transmitter (TX) and receiver (RX) system components. To capture the essence of these complex movements, we derive the closed-form expressions for the absorption probability (AP), the first-passage-time density (FPTD), and the Cumulative Density Function (CDF). We also incorporate the Reed-Solomon (RS) coding technique to enhance communication performance. Through this integration, we analyze communication metrics such as mutual information and channel capacity. Moreover, we compare the bit error probability (BEP) with and without RS coding. The results provide a comprehensive view of the performance enhancements achieved by coding techniques in MC systems, leading to a more robust and efficient MC system.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Molecular Biological and Multi-Scale Communications
Published
2024-12-23
DOI
https://doi.org/10.1109/tmbmc.2024.3522010
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Error Rate Reduction in Sub-Diffusion-Based Mobile Molecular Communication

Matteo Parsani, Lokendra Chouhan, Nadezhda Briantceva, Mohamed‐Slim Alouini
IEEE Transactions on Molecular Biological and Multi-Scale Communications
Molecular Communication and Nanonetworks
article

On Error Rate Reduction in Sub-Diffusion-Based Mobile Molecular Communication

Matteo Parsani, Lokendra Chouhan, Nadezhda Briantceva, Mohamed‐Slim Alouini
article en

Abstract

This work considers the sub-diffusive dynamics of information-carrying molecules (IM) within a molecular communication (MC) channel, focusing on the implementation of mobility at both the transmitter (TX) and receiver (RX) system components. To capture the essence of these complex movements, we derive the closed-form expressions for the absorption probability (AP), the first-passage-time density (FPTD), and the Cumulative Density Function (CDF). We also incorporate the Reed-Solomon (RS) coding technique to enhance communication performance. Through this integration, we analyze communication metrics such as mutual information and channel capacity. Moreover, we compare the bit error probability (BEP) with and without RS coding. The results provide a comprehensive view of the performance enhancements achieved by coding techniques in MC systems, leading to a more robust and efficient MC system.

IEEE Transactions on Molecular Biological and Multi-Scale CommunicationsVol. 11(1)
Sri Sri University (IN), Indian Institute of Information Technology Sri City, King Abdullah University of Science and Technology (SA)
Openalex Percentile: Top 78%
Molecular Communication and Nanonetworks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On Error Rate Reduction in Sub-Diffusion-Based Mobile Molecular Communication — Matteo Parsani, Lokendra Chouhan, et al. · IEEE Transactions on Molecular Biological and Multi-Scale Communications (2024) | TGRS Research Map | TGRS