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
Crack Segmentation in Civil Structure Images Using a Deep Learning Based Multi-Classifier System
Mohammadreza Asadi - Seyedeh Sogand Hashemi - Mohammad Taghi Sadeghi
A Cost-Sensitive Genetic Algorithm for Customer Segmentation in Auto Insurances
Alireza Khajenoori - Mohammad Saniee Abadeh - Mohsen Mohammadzadeh
Automating Theory of Mind Assessment with a LLaMA-3-Powered Chatbot: Enhancing Faux Pas Detection in Autism
Avisa Fallah - Ali Keramati - Mohammad Ali Nazari - Fatemeh Sadat Mirfazeli
Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation
Mohsen Ghanaei - Hadi Kalani - Alireza Akbarzadeh
Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)
Niloofar Alizadeh - Behnam Asghari Beirami - Mehdi Mokhtarzade
Iris Detection and Segmentation Using Deep Learning
Ali Khaki - Ali Aghagolzadeh - Bagher Rahimpour Cami
Explainable Error Detection Method for Structured Data using HoloDetect framework
Abolfazl Mohajeri Khorasani - Sahar Ghassabi - Behshid Behkamal - Mostafa Milani
EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees
Yeganeh Modaresnia - Farhad Abedinzadeh Torghabeh - Seyyed Abed Hosseini
Zone-Based Federated Learning in Indoor Positioning
Omid Tasbaz - Vahideh Moghtadaiee - Bahar Farahani
Artificial Intelligence applications addressing different aspects of the Covid-19 crisis and key technological solutions for future epidemics control
Nadia Khalili - Hojatollah Hamidi
more
Samin Hamayesh - Version 41.7.6