JOURNAL ARTICLE

Systematic Study and Review of InP‐based Tera‐Hertz‐ICs Fabrication Process Technology for Beyond 5G/6G Wireless Communication Networks.

  • Published In: Physica Status Solidi. A: Applications & Materials Science, 2024, v. 221, n. 13. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Tsutsumi, Takuya; Sugiyama, Hiroki; Hamada, Hiroshi; Jyo, Teruo; Shiratori, Yuta; Hoshi, Takuya; Takahashi, Hiroyuki; Nakajima, Fumito 3 of 3

Abstract

Next‐generation "Beyond 5G (B5G)/6G" wireless network systems have been researched and developed for meeting the rapid growth of mobile traffic. A high‐yield fabrication process of InP‐based transistors and tera‐hertz monolithic integrated circuits with 300 GHz operation is reported, which is a candidate frequency for "Beyond 5G/6G" network systems. The main focus is on a high‐yield and reproductive fabrication process of InP‐based high electron mobility transistors (HEMTs) while revisiting previous studies. The DC and radio frequency characteristics of fabricated InP‐HEMTs from the viewpoint of integrating circuits are described. Then, high‐frequency performances of ft = 280 GHz and fmax = 860 GHz in the bias conditions of Vgs/Vds = 0.2/1.1 V with good uniformity are obtained. Finally, InP‐based 300 GHz‐band mixer and power amplifiers are introduced, to which a backside process is also applied for ensuring their stability and enhancing output power. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Physica Status Solidi. A: Applications & Materials Science. 2024/07, Vol. 221, Issue 13, p1
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2024
  • ISSN:1862-6300
  • DOI:10.1002/pssa.202300561
  • Accession Number:178355333
  • Copyright Statement:Copyright of Physica Status Solidi. A: Applications & Materials Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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