0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Sotfware defined content popularity estimation for wireless D2D caching networks
Authors :
Maede Rezaei
1
AhmadReza Montazerolghaem
2
1- isfahan
2- university of isfahan
Keywords :
clustered networks،cache،D2D communication،content popularity
Abstract :
In this work, we are going to find a way to estimate content popularity in clustered networks. Since software-defined methods make planning more automatic and flexible, in this paper we take the help of software-defined methods for content estimation. For this purpose, the content popularity estimation algorithm is implemented by the base station located in the control plane. At the data plane level, there are users and among the users, there are several helper users who use the cache content in their device both to benefit other users and reduce base station traffic. First, we cluster the helpers using clustering methods. Then we present an optimal algorithm to estimate content popularity in each cluster, and finally, in a cellular network with the ability to communicate using a D2D connection we use cache placement to maximize offload traffic. Evaluations show that cache placement based on the proposed content popularity estimation algorithm increases the hit rate and offload.
Papers List
List of archived papers
Weakly Supervised Convolutional Neural Network for Automatic Gleason Grading of Prostate Cancer
Maryam Kamareh - Mohammad Sadegh Helfroush - Kamran Kazemi
Robat-e-Beheshti: A Persian Wake Word Detection Dataset for Robotic Purposes
Parisa Ahmadzadeh Raji - Yasser Shekofteh
Machine Learning-Driven Prediction of Anti-Alzheimer Drug Efficacy Using PubChem Molecular Fingerprints
Mohammad Javad Sadeghi - Mohammad Javad Nemati - AliAsghar Zare - Mohammadreza Shams
ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images
Mohammad Rahimzadeh - Mahmoud Reza Mohammadi
A Comprehensive Approach to SMS Spam Filtering Integrating Embedded and Statistical Features
Shaghayegh Hosseinpour - Mohammad Reza Keyvanpour
Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation
Mohsen Ghanaei - Hadi Kalani - Alireza Akbarzadeh
Age Estimation Based on Facial Images Using Hybrid Features and Particle Swarm Optimization
NILOUFAR MEHRABI - SAYED PEDRAM HAERI BOROUJENI
Adaptive Pronunciation Scoring: Aligning Automated Assessments with Human Expert Evaluations
Omid Aghdaei - Mohammad Sadegh Safari - Mohammad Hassan Rasoolizadeh - Abedeh Mirzaee
GAP: Fault tolerance Improvement of Convolutional Neural Networks through GAN-aided Pruning
Pouya Hosseinzadeh - Yasser Sedaghat - Ahad Harati
TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration
Saghar Shafaati - Javad Mohammadzadeh
more
Samin Hamayesh - Version 44.5.0