Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk-Reference-Cited by-同舟云学术

Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk

Published:2022-12 Issue:12 Volume:70 Page:8060-8074
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Karasik Roy¹^ORCID,Simeone Osvaldo²^ORCID,Jang Hyeryung³^ORCID,Shamai Shitz Shlomo¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Technion—Israel Institute of Technology, Haifa, Israel

2. Department of Engineering, King’s Communications, Learning & Information Processing (KCLIP) Laboratory, Centre for Telecommunications Research, King’s College London, London, U.K.

3. Department of Artificial Intelligence, Dongguk University, Seoul, South Korea

Funder

European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programmev

Open Fellowship of the EPSRC

National Research Foundation of Korea (NRF) grant funded by the Korea government

WIN consortium via the Israel minister of Economy and Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/9989518/09936619.pdf?arnumber=9936619

Reference47 articles.

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4. Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels

5. MIND: Model Independent Neural Decoder

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