Efficient proportional fairness scheduling method using user distribution in MU-MIMO THP

Yukiko Shimbo, Hirofumi Suganuma, Hiromichi Tomeba, Takashi Onodera, Fumiaki Maehara

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

Abstract

This paper proposes an efficient proportional fairness (PF) scheduling method using user distribution in MU-MIMO Tomlinson-Harashima precoding (THP). Although PF realizes fairness among users, heavy computational loads are experienced due to user selection, which must calculate the system capacity for all possible user combinations. To overcome this problem, the proposed approach partially allocates channel resources for semiorthogonal user selection (SUS), which causes unfairness while maintaining throughput maximization with low computational loads. This is inspired by the fact that user scheduling for throughput maximization such as SUS increases the degree of fairness under non- uniform user distributions. Hence, in the proposed method, the user distribution is measured by the spread of channel state information (CSI) power obtained from multiple antennas, and the resource allocation to PF and SUS is adaptively controlled based on this spread. Computer simulations are used to demonstrate the effectiveness of the proposed method in comparison with the traditional MU-MIMO THP with PF in terms of fairness among users and calculation costs.

Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112176
DOIs
Publication statusPublished - 2019 Apr 1
Event89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Apr 282019 May 1

Publication series

NameIEEE Vehicular Technology Conference
Volume2019-April
ISSN (Print)1550-2252

Conference

Conference89th IEEE Vehicular Technology Conference, VTC Spring 2019
CountryMalaysia
CityKuala Lumpur
Period19/4/2819/5/1

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ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Shimbo, Y., Suganuma, H., Tomeba, H., Onodera, T., & Maehara, F. (2019). Efficient proportional fairness scheduling method using user distribution in MU-MIMO THP. In 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings [8746340] (IEEE Vehicular Technology Conference; Vol. 2019-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2019.8746340