A Proposal of Spatial Modulation Using On/Off the Slots of Leaky Coaxial Cable

Kenta Nagayama, Junjie Zhu, Pengcheng Hou, Yafei Hou, Satoshi Denno

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

Abstract

Spatial modulation (SM) technology is one of promising methods that can achieve excellent energy efficiency for 5G/6G wireless communications by switching massive antenna elements but only employing small number of RF chains. In this article, we will apply this technology to another type wireless antenna: leaky coaxial cable (LCX). LCX is a line shaped antenna, and mainly employed for wireless coverage in some long-shallow environments such as tunnels, underground malls due to its uniform and stable radiation characteristics along the cable. Compared with conventional monopole antenna, LCX has large number of slots on cable for transmitting or receiving wireless signal. Therefore, by opening or closing (On/Off) these slots, the total number of channel patterns will be largely increased. This property can be used for the design of SM and for the improvement of capacity of wireless system. This paper will explain this idea and show the SM capacity using On/Off the slots of LCX over environments with and without reflected waves.

Original languageEnglish
Title of host publicationLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages289-290
Number of pages2
ISBN (Electronic)9781665419048
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
Duration: Mar 7 2022Mar 9 2022

Publication series

NameLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Country/TerritoryJapan
CityOsaka
Period3/7/223/9/22

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Instrumentation
  • Education

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