Deep Reinforcement Learning for Wireless Networks

by Ying He and F. Richard Yu

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"