Machine Learning in 6G Wireless Communications

Author:

OHTSUKI Tomoaki1

Affiliation:

1. Faculty of Science and Technology, Keio University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Reference36 articles.

1. [1] NTT DOCOMO, “White Paper: 5G Evolution and 6G (Version 4.0),” Jan. 2022. https://www.docomo.ne.jp/english/binary/pdf/corporate/technology/whitepaper_6g/DOCOMO_6G_White_PaperEN_v4.0.pdf

2. [2] The Ministry of Internal Affairs and Communications (MIC), “Beyond 5G Promotion Strategy — Roadmap towards 6G — ,” June 2020. https://www.soumu.go.jp/main_sosiki/joho_tsusin/eng/presentation/pdf/Beyond_5G_Promotion_Strategy-Roadmap_towards_6G-.pdf

3. [3] National Institute of Information and Communications Technology (NICT), “Beyond 5G/6G White Paper (English Version 2.0),” June 2022. https://beyond5g.nict.go.jp/images/download/NICT_B5G6G_WhitePaperEN_v2_0.pdf

4. [4] KDDI Coorporation, KDDI Research, Inc., “Beyond 5G/6G White Paper (Version 2.0.1),” Oct. 2021. https://www.kddi-research.jp/sites/default/files/kddi_whitepaper_en/pdf/KDDI_B5G6G_WhitePaperEN_2.0.1.pdf

5. [5] NOKIA Bell Labs, “Communications in the 6G Era,” Sept. 2020. https://d1p0gxnqcu0lvz.cloudfront.net/documents/Asset_20200909220306.pdf

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