Accelerating Beam Sweeping in mmWave Standalone 5G New Radios Using Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Accelerating Beam Sweeping in mmWave Standalone 5G New Radios Using Recurrent Neural Networks

Published:2018-08 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
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Author:

Mazin Asim,Elkourdi Mohamed,Gitlin Richard D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8672788/8690547/08690810.pdf?arnumber=8690810

Cited by 8 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. Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda;Informatics;2023-09-09

2. Fast Beam Search Based on Recorded Combinations for Distributed Massive MIMO Systems Using Sub-THz Wave Bands;IEEE Transactions on Vehicular Technology;2023-08

3. STAMINA: Implementation and Evaluation of Software-Defined Millimeter Wave Initial Access;ICC 2023 - IEEE International Conference on Communications;2023-05-28

4. Signalling Design in Sensor-Assisted mmWave Communications for Cooperative Driving;IEEE Open Journal of Intelligent Transportation Systems;2023

5. Deep Learning Assisted mmWave Beam Prediction for Heterogeneous Networks: A Dual-Band Fusion Approach;IEEE Transactions on Communications;2023-01

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