Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/123456789/83
Τύπος: Ανακοίνωση σε συνέδριο
Τίτλος: Content preference-aware user association and caching in cellular networks
Συγγραφέας: [EL] Νταρζανός, Γιώργος[EN] Darzanos, George
[EL] Χατζηελευθερίου, Λιβία - Έλενα[EN] Chatzieleftheriou, Livia - Elena
[EL] Καραλιόπουλος, Μερκούρης[EN] Karaliopoulos, Merkourios
[EL] Κουτσόπουλος, Ιορδάνης[EN] Koutsopoulos, Iordanis
Ημερομηνία: 4-Αυγ-2020
Περίληψη: The ever-growing trend of mobile users to consume high quality videos in their devices has pushed the backhaul network to its limits. Caching at Small-cell Base Stations (SBSs) has been established as an effective mechanism for alleviating this burden. Next generation mobile networks promise high Access Network density, hence multiple SBS association options per mobile user may exist. In this paper, we study the joint problem of mobile user association to SBSs and content placement to SBS-collocated caches, aiming to further optimize the utilization of backhaul network. The problem is solved periodically, con- sidering time intervals where the users’ location to the system is assumed to be fixed. First, we decompose the joint problem into two sub-problems that are solve sequentially, namely the content preference similarity-driven user association and the demand aware content placement sub-problems. We then propose a heuristic that consists of multiple phases. In particular, at a preparation phase, it performs clustering of users based on the similarity of their content preferences, accounting also for geographical constraints. The resulting clusters are then utilized for the demand-aware association of users to the SBS, while the placement of content is driven by the resulting local demand in each SBS, and takes place at the end. We demonstrate the effectiveness of our heuristic by evaluating its performance against multiple schemes that either lack a preparation phase or do not account for geographical constraints. As it is evident through the numerical results, the user clustering that takes place during the preparation phase can increase the overall cache hit ratio up to 20%.
Γλώσσα: Αγγλικά
Τόπος δημοσίευσης: Athens, Greece
Σελίδες: 8
ISBN: 978-3-903176-29-4
978-1-7281-9389-2
Θεματική κατηγορία: [EL] Άλλες Επιστήμες Μηχανικού και Τεχνολογίες[EN] Other Engineering and Technologies
Λέξεις-κλειδιά: clusteringUser AssociationCaching
Κάτοχος πνευματικών δικαιωμάτων: © Copyright 2020 IEEE - All rights reserved
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://ieeexplore.ieee.org/document/9155288
Τίτλος πηγής δημοσίευσης: 2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT)
Σελίδες τεκμηρίου (στην πηγή): 1-8
Όνομα εκδήλωσης: 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT)
Τοποθεσία εκδήλωσης: Volos, Greece
Ημ/νία έναρξης εκδήλωσης: 15-Ιου-2020
Ημ/νία λήξης εκδήλωσης: 19-Ιου-2020
Σημειώσεις: INSPEC Accession Number 19888422
This research has been funded by the Operational Program “Human Resources Development, Education and Lifelong Learning”, co-financed by European Union (EU) and Greek national funds through project VELOS. I. Koutsopoulos acknowledges the support from a GSRT Research Reinforcement grant for the EU R&D project netCommons, and from the AUEB grant “Original Scientific Publications 2019”
Εμφανίζεται στις συλλογές:Ερευνητικές ομάδες

Αρχεία σε αυτό το τεκμήριο:
Αρχείο Περιγραφή ΣελίδεςΜέγεθοςΜορφότυποςΈκδοσηΆδεια 
CCDWN-2020.pdf661.32 kBAdobe PDF-Δείτε/ανοίξτε