Molecular Index Modulation with Space-Time Equalization

Mustafa Can Gursoy; Ahmet Celik; Ertugrul Basar; Ali E. Pusane; Tuna Tugcu

doi:10.1109/LWC.2020.2966611

Molecular Index Modulation with Space-Time Equalization

Mustafa Can Gursoy, Ahmet Celik, Ertugrul Basar, Ali E. Pusane, Tuna Tugcu

Research output: Contribution to journal › Article › peer-review

Abstract

Molecular multiple-input-multiple-output (MIMO) techniques are proposed in the literature to improve the overall throughput of molecular communication via diffusion (MCvD) systems. Among these methods, molecular index modulation (molecular-IM) schemes are recently introduced as novel molecular MIMO approaches to provide significant improvements in terms of communication efficiency. However, despite molecular-IM's strong combating capability against inter-symbol interference (ISI) and inter-link interference (ILI), they are still prone to them due to the characteristics of a molecular MIMO MCvD channel. With the goal of further mitigating ISI and ILI, this letter introduces memory-assisted, linear time and space-time equalization methods for molecular-IM schemes. It is shown that the proposed equalization methods yield significant improvements in error performance while retaining low decoding complexity due to the linear combining.

Original language	English (US)
Article number	8957686
Pages (from-to)	702-705
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	9
Issue number	5
DOIs	https://doi.org/10.1109/LWC.2020.2966611
State	Published - May 2020
Externally published	Yes

Keywords

Molecular communication
index modulation
molecular MIMO
space-time equalization

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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title = "Molecular Index Modulation with Space-Time Equalization",

abstract = "Molecular multiple-input-multiple-output (MIMO) techniques are proposed in the literature to improve the overall throughput of molecular communication via diffusion (MCvD) systems. Among these methods, molecular index modulation (molecular-IM) schemes are recently introduced as novel molecular MIMO approaches to provide significant improvements in terms of communication efficiency. However, despite molecular-IM's strong combating capability against inter-symbol interference (ISI) and inter-link interference (ILI), they are still prone to them due to the characteristics of a molecular MIMO MCvD channel. With the goal of further mitigating ISI and ILI, this letter introduces memory-assisted, linear time and space-time equalization methods for molecular-IM schemes. It is shown that the proposed equalization methods yield significant improvements in error performance while retaining low decoding complexity due to the linear combining.",

keywords = "Molecular communication, index modulation, molecular MIMO, space-time equalization",

author = "Gursoy, {Mustafa Can} and Ahmet Celik and Ertugrul Basar and Pusane, {Ali E.} and Tuna Tugcu",

note = "Funding Information: Manuscript received October 25, 2019; accepted January 10, 2020. Date of publication January 13, 2020; date of current version May 8, 2020. This work was supported in part by the Turkish Directorate of Strategy and Budget under the TAM Project DPT2007K120610. The associate editor coordinating the review of this article and approving it for publication was W. Zhang. (Corresponding author: Mustafa Can Gursoy.) Mustafa Can Gursoy is with the Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089 USA (e-mail: mgursoy@usc.edu).",

year = "2020",

month = may,

doi = "10.1109/LWC.2020.2966611",

language = "English (US)",

volume = "9",

pages = "702--705",

journal = "IEEE Wireless Communications Letters",

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AU - Gursoy, Mustafa Can

AU - Celik, Ahmet

AU - Basar, Ertugrul

AU - Pusane, Ali E.

AU - Tugcu, Tuna

N1 - Funding Information: Manuscript received October 25, 2019; accepted January 10, 2020. Date of publication January 13, 2020; date of current version May 8, 2020. This work was supported in part by the Turkish Directorate of Strategy and Budget under the TAM Project DPT2007K120610. The associate editor coordinating the review of this article and approving it for publication was W. Zhang. (Corresponding author: Mustafa Can Gursoy.) Mustafa Can Gursoy is with the Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089 USA (e-mail: mgursoy@usc.edu).

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N2 - Molecular multiple-input-multiple-output (MIMO) techniques are proposed in the literature to improve the overall throughput of molecular communication via diffusion (MCvD) systems. Among these methods, molecular index modulation (molecular-IM) schemes are recently introduced as novel molecular MIMO approaches to provide significant improvements in terms of communication efficiency. However, despite molecular-IM's strong combating capability against inter-symbol interference (ISI) and inter-link interference (ILI), they are still prone to them due to the characteristics of a molecular MIMO MCvD channel. With the goal of further mitigating ISI and ILI, this letter introduces memory-assisted, linear time and space-time equalization methods for molecular-IM schemes. It is shown that the proposed equalization methods yield significant improvements in error performance while retaining low decoding complexity due to the linear combining.

AB - Molecular multiple-input-multiple-output (MIMO) techniques are proposed in the literature to improve the overall throughput of molecular communication via diffusion (MCvD) systems. Among these methods, molecular index modulation (molecular-IM) schemes are recently introduced as novel molecular MIMO approaches to provide significant improvements in terms of communication efficiency. However, despite molecular-IM's strong combating capability against inter-symbol interference (ISI) and inter-link interference (ILI), they are still prone to them due to the characteristics of a molecular MIMO MCvD channel. With the goal of further mitigating ISI and ILI, this letter introduces memory-assisted, linear time and space-time equalization methods for molecular-IM schemes. It is shown that the proposed equalization methods yield significant improvements in error performance while retaining low decoding complexity due to the linear combining.

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