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Optimal Dynamic Proactive Caching Via Reinforcement Learning
Alireza Sadeghi
, Fatemeh Sheikholeslami
,
Georgios B Giannakis
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
11
Scopus citations
Overview
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Dive into the research topics of 'Optimal Dynamic Proactive Caching Via Reinforcement Learning'. Together they form a unique fingerprint.
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Keyphrases
Caching
100%
Spatiotemporal Dynamics
100%
Reinforcement Learning
100%
User Demand
100%
Small Base Station
100%
Cooperative Caching
100%
Control Unit
50%
Modeller
50%
Low Dose Rate
50%
Simulation Test
50%
Markov Process
50%
Transition Probability
50%
Online Fashion
50%
Heterogeneous Wireless Networks
50%
Wireless Cellular Networks
50%
Dynamic Demand
50%
Caching Scheme
50%
Content Popularity
50%
Optimal Caching
50%
Reusable Data
50%
Cache Control
50%
Q-learning Algorithm
50%
Peak Traffic
50%
Content Agnostic
50%
Backhaul Link
50%
Unreliable Backhaul
50%
HetNet
50%
Cache Replacement
50%
Popular
50%
Reinforcement Learning Task
50%
Reinforcement Learning Framework
50%
Realistic Network Scenario
50%
Computer Science
Reinforcement Learning
100%
Temporal Dynamic
66%
Cellular Network
33%
Markov Process
33%
Learning Framework
33%
Network Scenario
33%
Control Unit
33%
Learning Algorithm
33%