User aware edge caching in 5G wireless networks

Simple item page
dc.contributor.authorKabir, Asif
dc.contributor.authorIqbal, M.Shahid
dc.contributor.authorJaffri, Zain ul Abidin
dc.contributor.authorRathore, Shoujat Ali
dc.contributor.authorKitindi, Edvin J.
dc.contributor.authorRehman, Gohar
dc.date.accessioned2021-08-09T16:02:00Z
dc.date.available2021-08-09T16:02:00Z
dc.date.issued2018
dc.descriptionJournal articleen_US
dc.description.abstractWireless 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.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/3841
dc.language.isoenen_US
dc.publisherIJCSNSen_US
dc.subjectEdge cachingen_US
dc.subjectEmotionsen_US
dc.subjectPopularity predictionen_US
dc.subjectSocial networksen_US
dc.subjectUser aware contentsen_US
dc.subject5Gen_US
dc.titleUser aware edge caching in 5G wireless networksen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
5 User Aware Edge Caching in 5G Wireless Networks.pdf
Size:
618.17 KB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.67 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Articles, Conference and Workshop Papers Collection