Cross link interference mitigation schemes in dynamic TDD systems

Hyejin Kim, Kwonjong Lee, Hano Wang, Daesik Hong

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

1 Citation (Scopus)

Abstract

Dynamic time division duplex (D-TDD) maximizes resource utilization by dynamically allocating resources to the downlink and uplink according to variations in traffic conditions. The new 5th generation (5G) mobile communication standard has reflected D-TDD in the frame structure. However, D- TDD has inherent cross-link interference (CLI) problems. Although many CLI mitigation schemes have been proposed as part of the standardization of the 5G system, none of these schemes have solved the multifaceted CLI problem. In this paper, we analyze the CLI mitigation schemes by dividing them into proactive and reactive scheme categories considering operational principles. Through this categorization process, we found that combining CLI mitigation schemes can solve the CLI problem more effectively. The performance of the various CLI mitigation schemes and combinations thereof is evaluated using a system level simulator. The best combination of CLI mitigation schemes is also derived.

Original languageEnglish
Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112206
DOIs
Publication statusPublished - 2019 Sep
Event90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
Duration: 2019 Sep 222019 Sep 25

Publication series

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

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
Country/TerritoryUnited States
CityHonolulu
Period19/9/2219/9/25

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029), and in part by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2016-0-00181-004, Development on the core technologies of transmission, modulation and coding with low-powere and low complexity for massive connectivity in the IoT environment)

Funding Information:
ACKNOWLEDGEMENTS This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029), and in part by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2016-0-00181-004, Development on the core technologies of transmission, modulation and coding with low-powere and low complexity for massive connectivity in the IoT environment).

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

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

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