Machine Learning Assisted Phase-less Millimeter-Wave Beam Alignment in Multipath Channels
Author:
Affiliation:
1. University of California,Electrical and Computer Engineering Department,Los Angeles
Funder
NSF
DARPA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685678.pdf?arnumber=9685678
Reference17 articles.
1. Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO
2. mmRAPID
3. Multi-User Multi-Stream mmWave WLANs With Efficient Path Discovery and Beam Steering
4. Millimeter Wave Channel Modeling and Cellular Capacity Evaluation
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3. Phaseless Millimeter-Wave Beamforming Design for Multipath Channel;2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2022-09-12
4. Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking;2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC);2022-07-04
5. Wireless Transmissions, Propagation and Channel Modelling for IoT Technologies: Applications and Challenges;IEEE Access;2022
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