Evaluation of Source Data Selection for DTL Based CSI Feedback Method in FDD Massive MIMO Systems-Reference-Cited by-同舟云学术

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Evaluation of Source Data Selection for DTL Based CSI Feedback Method in FDD Massive MIMO Systems

Published:2023-01-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)
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Author:

Inoue Mayuko¹,Ohtsuki Tomoaki²,Yamamoto Kohei¹,Gui Guan³

Affiliation:

1. Graduate School of Science and Technology, Keio University,Kanagawa,Japan,223-8522

2. Keio University,Department of Information and Computer Science,Kanagawa,Japan,223-8522

3. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059462/10059600/10060176.pdf?arnumber=10060176

Reference16 articles.

1. Characterizing and Avoiding Negative Transfer

2. Study on channel model for frequencies from 0.5 to 100 GHz;3rd Generation Partnership Project Technical specification group radio access network,2017

3. An Information-Theoretic Approach to Transferability in Task Transfer Learning

4. Improving Domain Adaptation by Source Selection

5. A Survey on Deep Transfer Learning

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Facilitating AI-Based CSI Feedback Deployment in Massive MIMO Systems With Learngene;IEEE Transactions on Wireless Communications;2024-09

2. Activity Recognition from Channel State Information for Few-Sampled Scenarios;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

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