Deep Reinforcement Learning for Wireless Networks

(Part of the SpringerBriefs in Electrical and Computer Engineering Series)

by Ying He and F. Richard Yu

No Customer Reviews

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme.

There is a phenomenal burst of research activities...

Format:Paperback

Language:English

ISBN:3030105458

ISBN13:9783030105457

Release Date:January 2019

Publisher:Springer

Length:71 Pages

Weight:0.27 lbs.

Dimensions:0.2" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology Engineering Technology

Customer Reviews

0 rating

Write a review

ThriftBooks sells millions of used books at the lowest everyday prices. We personally assess every book's quality and offer rare, out-of-print treasures. We deliver the joy of reading in recyclable packaging with free standard shipping on US orders over $15. ThriftBooks.com. Read more. Spend less.

Copyright © 2024 Thriftbooks.com Terms of Use | Privacy Policy | Do Not Sell/Share My Personal Information | Cookie Policy | Cookie Preferences | Accessibility Statement
ThriftBooks^® and the ThriftBooks^® logo are registered trademarks of Thrift Books Global, LLC

Deep Reinforcement Learning for Wireless Networks

(Part of the SpringerBriefs in Electrical and Computer Engineering Series)

Recommended

Customer Reviews

Popular Categories

Website

My Account

Partnerships

Quick Help

About Us

Follow Us