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Resource allocation for multi-user molecular communication systems oriented to the internet of medical things

Resource allocation for multi-user molecular communication systems oriented to the internet of medical things
Resource allocation for multi-user molecular communication systems oriented to the internet of medical things
Communication between nano-machines is still an important topic in the construction of the Internet of Bio-Nano Things (IoBNT). Currently, molecular communication (MC) is expected to be a promising technology to realize IoBNT. To effectively serve the IoBNT composed of multiple nano-machine clusters, it is imperative to study multiple-access MC. In this paper, based on the molecular division multiple access technology, we propose a novel multi-user MC system, where information molecules with different diffusion coefficients are first employed. Aiming at the user fairness in the considered system, we investigate the optimization of molecular resource allocation, including the assignment of the types of molecules and the number of molecules of a type. Specifically, three performance metrics are considered, namely, min-max fairness for error probability, max-min fairness for achievable rate, and weighted sum rate maximization. Moreover, we propose two assignment strategies for types of molecules, i.e., best-to-best (BTB) and best-to-worst (BTW). Subsequently, for a two-user scenario, we analytically derive the optimal allocation for the number of molecules when types of molecules are fixed for all users. By contrast, for a three-user scenario, we prove that the BTB and BTW schemes with the optimal allocation for the number of molecules can provide the lower and upper bounds on system performance, respectively. Finally, numerical results show that the combination of BTW and the optimal allocation for the number of molecules yields better performance than the benchmarks.
2327-4662
Chen, Xuan
7ff592d5-a430-400b-ac34-7b8a983c62dd
Chae, Chan Byoung
90d9c9fb-2f07-476d-86a4-b8c6e45fe5c1
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Ji, Fei
354c2337-6b33-4713-85f6-df57bf3b9c7e
Konstantin Igorevich, Kostromitin
caeaa9e1-80da-431b-bb9d-c6593209324d
Chen, Xuan
7ff592d5-a430-400b-ac34-7b8a983c62dd
Chae, Chan Byoung
90d9c9fb-2f07-476d-86a4-b8c6e45fe5c1
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Ji, Fei
354c2337-6b33-4713-85f6-df57bf3b9c7e
Konstantin Igorevich, Kostromitin
caeaa9e1-80da-431b-bb9d-c6593209324d

Chen, Xuan, Chae, Chan Byoung, Yang, Lie-Liang, Ji, Fei and Konstantin Igorevich, Kostromitin (2021) Resource allocation for multi-user molecular communication systems oriented to the internet of medical things. IEEE Internet of Things Journal. (doi:10.1109/JIOT.2021.3051391). (In Press)

Record type: Article

Abstract

Communication between nano-machines is still an important topic in the construction of the Internet of Bio-Nano Things (IoBNT). Currently, molecular communication (MC) is expected to be a promising technology to realize IoBNT. To effectively serve the IoBNT composed of multiple nano-machine clusters, it is imperative to study multiple-access MC. In this paper, based on the molecular division multiple access technology, we propose a novel multi-user MC system, where information molecules with different diffusion coefficients are first employed. Aiming at the user fairness in the considered system, we investigate the optimization of molecular resource allocation, including the assignment of the types of molecules and the number of molecules of a type. Specifically, three performance metrics are considered, namely, min-max fairness for error probability, max-min fairness for achievable rate, and weighted sum rate maximization. Moreover, we propose two assignment strategies for types of molecules, i.e., best-to-best (BTB) and best-to-worst (BTW). Subsequently, for a two-user scenario, we analytically derive the optimal allocation for the number of molecules when types of molecules are fixed for all users. By contrast, for a three-user scenario, we prove that the BTB and BTW schemes with the optimal allocation for the number of molecules can provide the lower and upper bounds on system performance, respectively. Finally, numerical results show that the combination of BTW and the optimal allocation for the number of molecules yields better performance than the benchmarks.

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Resource Allocation for Multi-User Molecular Communication Systems Oriented to The Internet of Medical Things - Accepted Manuscript
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Accepted/In Press date: 6 January 2021

Identifiers

Local EPrints ID: 447257
URI: http://eprints.soton.ac.uk/id/eprint/447257
ISSN: 2327-4662
PURE UUID: 7ae3761d-5483-4124-9103-c8eb4a959858
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

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Date deposited: 05 Mar 2021 17:34
Last modified: 06 Mar 2021 02:35

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Contributors

Author: Xuan Chen
Author: Chan Byoung Chae
Author: Lie-Liang Yang ORCID iD
Author: Fei Ji
Author: Kostromitin Konstantin Igorevich

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