Analysis and Design of Multi-Hop Diffusion-Based Molecular Communication Networks

TL;DR

This paper analyzes multi-hop molecular communication networks, proposing relaying schemes and interference mitigation techniques, and deriving formulas for error probability and optimal parameters to enhance communication range and reliability.

Contribution

It introduces three relaying schemes with interference mitigation and provides closed-form expressions for error probability and optimal parameters in molecular communication networks.

Findings

Relaying schemes improve communication range.

Interference effects are identified and mitigated.

Closed-form expressions for error probability and optimal parameters are derived.

Abstract

In this paper, we consider a multi-hop molecular communication network consisting of one nanotransmitter, one nanoreceiver, and multiple nanotransceivers acting as relays. We consider three different relaying schemes to improve the range of diffusion-based molecular communication. In the first scheme, different types of messenger molecules are utilized in each hop of the multi-hop network. In the second and third scheme, we assume that two types of molecules and one type of molecule are utilized in the network, respectively. We identify self-interference, backward intersymbol interference (backward-ISI), and forward-ISI as the performance-limiting effects for the second and third relaying schemes. Furthermore, we consider two relaying modes analogous to those used in wireless communication systems, namely full-duplex and half-duplex relaying. We propose the adaptation of the decision threshold as an effective mechanism to mitigate self-interference and backward-ISI at the relay for full-duplex and half-duplex transmission. We derive closed-form expressions for the expected end-to-end error probability of the network for the three considered relaying schemes. Furthermore, we derive closed-form expressions for the optimal number of molecules released by the nanotransmitter and the optimal detection threshold of the nanoreceiver for minimization of the expected error probability of each hop.