Modified adaptive 2-Step ICIC for distributed MIMO system with user clustering

Amnart Boonkajay, Tomoyuki Saito, Fumiyuki Adachi

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

1 Citation (Scopus)

Abstract

Distributed multi-input multi-output (MIMO) system with user equipment (UE) clustering can boost up area spectrum efficiency by performing UE scheduling independently in all clusters. However, UEs locating at cell-edge area suffer from strong inter-cell interference (ICI). We have proposed a de-centralized adaptive 2-step ICI coordination (ICIC) which employs UE classification and selection of additional fractional frequency band based on received interference level, but UE clustering has not been considered. In this paper, we modify the adaptive 2-step ICIC so as to fit to distributed MIMO system with UE clustering. Multiple cell-edge UEs are scheduled simultaneously and adjust the cell-center UE/cell-edge UE timeslot ratio to keep an average UE connection probability similar to system without ICIC. Simulation results show that the modified adaptive 2-step ICIC improves the cell-edge UE link capacity without significantly degrading entire-cell UE link capacity.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112046
DOIs
Publication statusPublished - 2019 Aug
Event2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 - Singapore, Singapore
Duration: 2019 Aug 282019 Aug 30

Publication series

NameProceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019

Conference

Conference2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
CountrySingapore
CitySingapore
Period19/8/2819/8/30

Keywords

  • Distributed MIMO
  • Inter-cell interference coordination
  • Radio access network
  • User scheduling

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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