Resource Allocation for Max-Min Rate Fairness in Molecular Communication Systems

Xuan Chen, Miaowen Wen, Fei Ji, Chan Byoung Chae, Lie Liang Yang, Yu Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Molecular communication (MC) is considered to be a promising technology to realize the Internet of Nano Things (IoNT), especially the biomedical IoNT. In the construction of IoNT, communication between nano-machines is still an important topic, where multiple-access MC is imperative to be studied due to the multiple nano-machine clusters in IoNT. In this paper, a novel multi-user MC system based on the molecular division multiple access technology is proposed, where information molecules with different diffusion coefficients are first employed. Moreover, we employ the max-min rate fairness as a criterion to investigate the optimization of molecular resource allocation, including the assignment for types of molecules and the number of associated molecules. Two assignment strategies for types of molecules, i.e., best-to-best (BTB) and best-to-worst (BTW), are proposed. Subsequently, we analytically deduce the optimal allocation for the number of molecules when types of molecules are fixed for all users. Finally, numerical results show that the combination of BTW and the optimal allocation for the number of molecules exhibits the best performance.

Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171227
Publication statusPublished - 2021 Jun
Event2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
Duration: 2021 Jun 142021 Jun 23

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2021 IEEE International Conference on Communications, ICC 2021
CityVirtual, Online

Bibliographical note

Funding Information:
ACKNOWLEDGEMENTS The work was supported in part by the National Natural Science Foundation of China under Grant 61871190, in part by the Natural Science Foundation of Guangdong Province under Grant 2018B030306005, in part by the Pearl River Nova Program of Guangzhou under Grant 201806010171, in part by the Fundamental Research Funds for the Central Universities under Grant 2019SJ02, in part by the Key Program of Marine Economy Development(Six Marine Industries) Special Foundation of Department of Natural Resources of Guangdong Province(GDNRC [2020]009), and in part by the National Research Foundation of Korea (NRF-2020R1A2C4001941).

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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