# Drug Release Management for Dynamic TDMA-Based Molecular Communication

**Authors:** Hamid Khoshfekr Rudsari, Nader Mokari, Mohammad Reza Javan, Eduard A., Jorswieck, Mahdi Orooji

arXiv: 1908.06388 · 2019-09-02

## TL;DR

This paper proposes a drug release management scheme for dynamic TDMA-based molecular communication, optimizing molecule release and slot durations to minimize bit error rate in diffusive environments.

## Contribution

It introduces a multi-objective optimization framework for molecule release and timing in TDMA molecular communication, considering various environmental and operational scenarios.

## Key findings

- DTDN achieves the lowest BER (~10^-8) but is most complex.
- STSN is the simplest approach with BER around 10^-2.
- Performance varies with environment and parameter settings.

## Abstract

In this paper, we design a drug release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD). In the proposed scheme, the communication frame is divided into several time slots over each of which a transmitter nanomachine is scheduled to convey its information by releasing the molecules into the medium. To optimize the number of released molecules and the time duration of each time slot (symbol duration), we formulate a multi-objective optimization problem whose objective functions are the bit error rate (BER) of each transmitter nanomachine. Based on the number of released molecules and symbol durations, we consider four cases, namely: "static-time static-number of molecules" (STSN), "static-time dynamic-number of molecules" (STDN), "dynamic-time static-number of molecules" (DTSN), and "dynamic-time dynamic-number of molecules" (DTDN). We consider three types of medium in which the molecules are propagated, namely: "mild diffusive environment" (MDE), "moderate diffusive environment" (MODE), and "severe diffusive environment" (SDE). For the channel model, we consider a 3-dimensional (3D) diffusive environment, such as blood, with drift in three directions. Simulation results show that the STSN approach is the least complex one with BER around $\text{10}^{\text{-2}}$, but, the DTDN is the most complex scenario with the BER around $\text{10}^{\text{-8}}$.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1908.06388/full.md

## Figures

19 figures with captions in the complete paper: https://tomesphere.com/paper/1908.06388/full.md

## References

43 references — full list in the complete paper: https://tomesphere.com/paper/1908.06388/full.md

---
Source: https://tomesphere.com/paper/1908.06388