Sokoine University of Agriculture

User aware edge caching in 5G wireless networks

Show simple item record Kabir, Asif Iqbal, M.Shahid Jaffri, Zain ul Abidin Rathore, Shoujat Ali Kitindi, Edvin J. Rehman, Gohar 2021-08-09T16:02:00Z 2021-08-09T16:02:00Z 2018
dc.description Journal article en_US
dc.description.abstract Wireless technology has become an ultimate weapon in today’s world. Caching has emerged as a vital tool in modern communication systems for reducing peak data rates by allowing popular files to be pre-fetched and then stored at the edge of the network. Caching at small cell base stations has recently been proposed to avoid bottlenecks in the limited capacity backhaul connection link to the core network. For predicting the popularity of the content, we need to analyze the behavior of the user, understanding collectively the behavior beneficial for content trend forecasting and improve network performance. The proposed model predicts the intensity of human emotions through social media (Twitter) and the classifier evaluates the features which are related to user behaviors and, finally, values of features are pushed to the user profile. We further demonstrate how emotions extracted from Twitter can be utilized to improve the forecasting, describing things in a new way which can further be exploited as an optimization basis for network performance enhancement. en_US
dc.language.iso en en_US
dc.publisher IJCSNS en_US
dc.subject Edge caching en_US
dc.subject Emotions en_US
dc.subject Popularity prediction en_US
dc.subject Social networks en_US
dc.subject User aware contents en_US
dc.subject 5G en_US
dc.title User aware edge caching in 5G wireless networks en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search SUA IR


My Account