A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks

by   Nikolaos Nomikos, et al.

Mobile networks are experiencing tremendous increase in data volume and user density. An efficient technique to alleviate this issue is to bring the data closer to the users by exploiting the caches of edge network nodes, such as fixed or mobile access points and even user devices. Meanwhile, the fusion of machine learning and wireless networks offers a viable way for network optimization as opposed to traditional optimization approaches which incur high complexity, or fail to provide optimal solutions. Among the various machine learning categories, reinforcement learning operates in an online and autonomous manner without relying on large sets of historical data for training. In this survey, reinforcement learning-aided mobile edge caching is presented, aiming at highlighting the achieved network gains over conventional caching approaches. Taking into account the heterogeneity of sixth generation (6G) networks in various wireless settings, such as fixed, vehicular and flying networks, learning-aided edge caching is presented, departing from traditional architectures. Furthermore, a categorization according to the desirable performance metric, such as spectral, energy and caching efficiency, average delay, and backhaul and fronthaul offloading is provided. Finally, several open issues are discussed, targeting to stimulate further interest in this important research field.


page 1

page 2

page 3


Caching Contents with Varying Popularity using Restless Bandits

Mobile networks are experiencing prodigious increase in data volume and ...

A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation

Mobile edge caching/computing has been emerging as a promising paradigm ...

Security in Mobile Edge Caching with Reinforcement Learning

Mobile edge computing usually uses cache to support multimedia contents ...

A Survey of Deep Learning for Data Caching in Edge Network

The concept of edge caching provision in emerging 5G and beyond mobile n...

A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization

Edge caching is being explored as a promising technology to alleviate th...

Smart caching in a Data Lake for High Energy Physics analysis

The continuous growth of data production in almost all scientific areas ...

Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques

As data traffic volume continues to increase, caching of popular content...

Please sign up or login with your details

Forgot password? Click here to reset