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Signal Detection for Molecular Communication : Model-Based vs. Data-Driven Methods

Multi-scale molecular communication (MC) employs the characteristics of information molecules for information exchange. The received signal in MC inevitably encounters severe inter-symbol interference and signal-dependent noise due to the stochastic diffusion mechanism. Focusing on the critical signal detection in MC, first this article reviews the commonly used model-based detectors and exposes their limitations in practical implementation. Then the emerging data-driven detectors that can make up for some deficiencies of the model-based detectors are presented. Despite the black-box nature of the data-driven detectors, the explainable artificial intelligence can be further investigated for the performance improvement of transparency and trust. Finally, some open research issues and future research directions in receiver design are discussed.

Ketersediaan

Informasi Detail

Judul Seri

IEEE COMMUNICATIONS MAGAZINE; Vol.59 No.5 May 2021

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 47 - 53

Bahasa

English

ISBN/ISSN

-

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

STOCHASTIC PROCESSES
DETECTORS
NANOSCALE DEVICES
INTERFERENCE
COMPUTATIONAL MODELING
MIMICS
RECEIVERS
BIOLOGICAL SYSTEM MODELING
MOLECULAR COMMUNICATION (TELECOMMUNICATION)

Info Detail Spesifik

DOI: 10.1109/MCOM.001.2000957

Pernyataan Tanggungjawab

Yu Huang, Fei Ji, Zhuangkun Wei, Miaowen Wen, Weisi Guo

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