Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach
Authors
Keywords
Data-driving, End-to-End, Deep reinforcement learning, Network slicing
Journal
INFORMATION SCIENCES
Volume 498, Issue -, Pages 106-116
Publisher
Elsevier BV
Online
2019-05-16
DOI
10.1016/j.ins.2019.05.012

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.