ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.12653
  4. Cited By
Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave
  Networks

Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks

22 June 2020
Tarun S. Cousik
Vijay K. Shah
Jeffrey H. Reed
T. Erpek
Y. Sagduyu
ArXivPDFHTML

Papers citing "Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks"

3 / 3 papers shown
Title
Deep Learning for Wireless Communications
Deep Learning for Wireless Communications
T. Erpek
Tim O'Shea
Y. Sagduyu
Yi Shi
T. Clancy
86
138
0
12 May 2020
Deep Learning for RF Signal Classification in Unknown and Dynamic
  Spectrum Environments
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
Yi Shi
Kemal Davaslioglu
Y. Sagduyu
William C. Headley
Michael Fowler
Gilbert Green
41
93
0
25 Sep 2019
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
T. Erpek
Y. Sagduyu
Yi Shi
AAML
43
192
0
03 Jul 2018
1