Publication:
Received signal and channel parameter estimation in molecular communications

Thumbnail Image

School / College / Institute

Program

KU Authors

Co-Authors

 

Publication Date

Language

Embargo Status

Journal Title

Journal ISSN

Volume Title

Alternative Title

Abstract

Molecular communication (MC) is a paradigm that employs molecules as information carriers, hence, requiring unconventional transceivers and detection techniques for the Internet of Bio-Nano Things (IoBNT). In this study, we provide a novel MC model that incorporates a spherical transmitter and receiver with partial absorption. This model offers a more realistic representation than receiver architectures in literature, e.g., passive or entirely absorbing configurations. An optimization-based technique utilizing particle swarm optimization (PSO) is employed to accurately estimate the cumulative number of molecules received. This technique yields nearly constant correction parameters and demonstrates a significant improvement of 5 times in terms of root mean square error (RMSE) compared to the literature. The estimated channel model provides an approximate analytical impulse response;hence, it is used for estimating channel parameters such as distance, diffusion coefficient, or a combination of both. The iterative maximum likelihood estimation (MLE) is applied for the parameter estimation, which gives consistent errors compared to the estimated Cramer-Rao Lower Bound (CLRB).

Source

Publisher

IEEE-Inst Electrical Electronics Engineers Inc

Subject

Electrical engineering, Electronic engineering, Telecommunications

Citation

Has Part

Source

IEEE Transactions on Molecular Biological and Multi-Scale Communications

Book Series Title

Edition

DOI

10.1109/TMBMC.2023.3342731

item.page.datauri

Link

Rights

 

Copyrights Note

Endorsement

Review

Supplemented By

Referenced By

3

Views

5

Downloads

View PlumX Details