1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Learning-Based Content Caching And User Clustering: A Deep Deterministic Policy Gradient Approach

Learning-Based Content Caching And User Clustering: A Deep Deterministic Policy Gradient Approach

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

The joint design of content caching and user clustering (JCC) in cache-enabled heterogeneous networks is challenging, due to various unknown, possibly time-varying, system parameters which potentially give rise to various design tradeoffs in practice. Thi

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Learning-Based Content Caching And User Clustering: A Deep Deterministic Policy Gradient Approach

00:12:02

0 views

The joint design of content caching and user clustering (JCC) in cache-enabled heterogeneous networks is challenging, due to various unknown, possibly time-varying, system parameters which potentially give rise to various design tradeoffs in practice. Thi