Machine learning based channel modeling for molecular MIMO communications-Reference-Cited by-同舟云学术

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Machine learning based channel modeling for molecular MIMO communications

Published:2017-07 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Author:

Lee Changmin,Yilmaz H. Birkan,Chae Chan-Byoung,Farsad Nariman,Goldsmith Andrea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8187162/8227634/08227765.pdf?arnumber=8227765

Cited by 18 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. Time-Hopping Concentration-Position Shift Keying for Multiple Access in Concentration-Encoded Molecular Communication;Applied Sciences;2024-09-02

2. Localization of a Passive Source With a Sensor Network-Based Experimental Molecular Communication Platform;IEEE Transactions on Molecular, Biological, and Multi-Scale Communications;2024-06

3. Channel Modeling and Optimal Released Molecules for Mobile Molecular MIMO Communications Among Bionanosensors;IEEE Sensors Journal;2023-10-01

4. Artificial intelligence for molecular communication;it - Information Technology;2023-08-01

5. Signal Detection of Mobile Multi-user Molecular Communication System Using Transformer-Based Model;2023 8th International Conference on Computer and Communication Systems (ICCCS);2023-04-21

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