Performance Analysis of Single-carrier OAM Multiplexing Considering Radiation Pattern and Polarization in the Presence of Ground Reflection

Shuhei Saito, Hirofumi Suganuma, Kayo Ogawa, Fumiaki Maehara*

*この研究の対応する著者

研究成果: Conference contribution

抄録

This study investigates the theoretical system ca-pacity of single-carrier orbital angular momentum (OAM) multiplexing considering the radiation pattern and polarization in the presence of ground reflection. Assuming that the adoption of a highly directional antenna is required to overcome the large propagation loss in the extremely high-frequency bands, we incorporate the impact of radiation pattern into the system-capacity analysis of single-carrier broadband OAM multiplexing. Moreover, because the impact of reflected waves depends on the polarization plane, which determines the reflection coefficient, we demonstrate its difference in the system capacity by assuming vertical and horizontal polarization. Regarding the analytical evaluation in the presence of reflected wave, the consideration of either the radiation pattern or difference in the polarization planes has been unfortunately lacking. As for radio propagation, we utilize the 3GPP technical report (TR) 38.901 as a radiation pattern and clarify its impact with and without frequency domain equalization (FDE) compared to the isotropic-antenna case using analytical approaches.

本文言語English
ホスト出版物のタイトル2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ186-191
ページ数6
ISBN(電子版)9781665426718
DOI
出版ステータスPublished - 2022
イベント2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 - Seoul, Korea, Republic of
継続期間: 2022 5月 162022 5月 20

出版物シリーズ

名前2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022

Conference

Conference2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
国/地域Korea, Republic of
CitySeoul
Period22/5/1622/5/20

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 信号処理
  • 制御と最適化

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