Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Photolysis-assist Molecular Communication for Tumour Bio-sensing

Version 1 : Received: 10 March 2022 / Approved: 11 March 2022 / Online: 11 March 2022 (04:43:21 CET)

A peer-reviewed article of this Preprint also exists.

Sun, Y.; Bian, H.; Chen, Y. A Photolysis-Assist Molecular Communication for Tumor Biosensing. Sensors 2022, 22, 2495. Sun, Y.; Bian, H.; Chen, Y. A Photolysis-Assist Molecular Communication for Tumor Biosensing. Sensors 2022, 22, 2495.

Abstract

Molecular communication (MC) is a promising bio-inspired paradigm for exchanging molecule information among nanomachines. This paper proposes a synchronisation-assist photolysis MC system that aims to transmit the bio-sensing signal of the tumour microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from bio-compatible MC, biosensors could transmit bio-sensing signals of the tumour in $vivo$ instead of converting them to electrical signals. Due to diffusion motion's slow and stochastic nature, inter-symbol interference (ISI), resulting from previous symbols' residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on-off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronisation signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis-reaction. This paper implements the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in bio-sensing.

Keywords

Bio-Sensing; inter-symbol interference; molecular communication; synchronisation

Subject

Engineering, Bioengineering

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