Reinforcement Learning Based Power-Optimal Usage of Beamforming Antenna Array for Multi-Way Wireless Communication in Vehicular Traffic Environments-Reference-Cited by-同舟云学术

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Reinforcement Learning Based Power-Optimal Usage of Beamforming Antenna Array for Multi-Way Wireless Communication in Vehicular Traffic Environments

Published:2022-08-07 Issue: Volume: Page:
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Container-title:2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)
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Author:

Komarraju Suhasini¹,Chatterjee Abhijit¹

Affiliation:

1. School of Electrical and Computer Engineering Georgia Institute of Technology,Atlanta,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9859262/9859267/09859297.pdf?arnumber=9859297

Reference15 articles.

1. A Wideband Beamforming Antenna Array for 802.11ac and 4.9 GHz in Modern Transportation Market

2. Antenna theory: analysis and design;balanis,2005

3. Incorporating Behavioral Constraints in Online AI Systems

4. Fun with the Friis free-space transmission formula

5. A 4-Element 60-GHz CMOS Phased-Array Receiver With Beamforming Calibration

Cited by 1 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. Applications of Machine Learning and Deep Learning in Antenna Design, Optimization, and Selection: A Review;IEEE Access;2023

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