Performance of cache placement using supervised learning techniques in mobile edge networks

Performance of cache placement using supervised learning techniques in mobile edge networks

Abstract With the growth of mobile data traffic in wireless networks, caches are used to bring data closer to mobile users and to minimise the traffic load on macro base station (MBS). Storing data in caches on user terminals (UTs) and small base stations (SBSs) faces challenges with respect to the...

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Bibliographic Details
Main Authors: Lubna Mohammed, Alagan Anpalagan, Ahmed S. Khwaja, Muhammad Jaseemuddin
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:IET Networks
Subjects:
cache storage
energy consumption
gradient methods
learning (artificial intelligence)
neural nets
optimisation
Online Access:https://doi.org/10.1049/ntw2.12029

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