Open AccessOptimal Transmitted Molecules and Decision Threshold for Drift-Induced Diffusive Molecular Channel With Mobile Nanomachines
Author(s) -
Lokendra Chouhan,
Prabhat Kumar Sharma,
Neeraj Varshney
Publication year - 2019
Publication title -
ieee transactions on nanobioscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.62
H-Index - 63
eISSN - 1558-2639
pISSN - 1536-1241
DOI - 10.1109/tnb.2019.2935241
Subject(s) - molecular communication , interference (communication) , computer science , transmitter , channel (broadcasting) , relay , false alarm , brownian motion , monte carlo method , probability of error , physics , algorithm , topology (electrical circuits) , telecommunications , mathematics , statistics , electrical engineering , engineering , artificial intelligence , power (physics) , quantum mechanics
We study a drift-induced diffusive mobile molecular communication system where source, destination and cooperative nanomachines follow the one-dimensional Brownian motion. For information exchange from source nanomachine to receiver nanomachine, both direct and decode-forward (DF) relay-assisted cooperative paths are considered. The closed-form expressions for the probabilities of detection and false alarm are derived at the cooperative and destination nanomachines considering the multiple-source interference (MSI) and the inter-symbol-interference (ISI). The closed-form expressions for end-to-end average probability of error, and maximum achievable rate are also obtained. Moreover, to achieve minimum expected probability of error the optimum number of molecules to be transmitted from transmitter and optimal detection threshold in receiver nanomachine are found. The analytical expressions are validated through particle-based and Monte-Carlo simulation methods.