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
A Novel Deformable Registration Method for Cerebral Magnetic Resonance Images
Bahareh Asadpour Dasht Bayaz - Mahdi Saadatmand - Fabrice Wallois
Improving Soft Error Reliability of FPGA-based Deep Neural Networks with Reduced Approximate TMR
Anahita Hosseinkhani - Behnam Ghavami
Diagnosis of Depression Based on New Features Extractive from the Frequency Space of the EEG
Melika Changizi - Saeid Rashidi
Deep Learning-Driven Beamforming Optimization for High-Performance 5G Planar Antenna Arrays
Rahman Mohammadi - Seyed Reza Razavi Pour
Ensemble-Based Fraud Detection: A Robust Approach Evaluated on IEEE-CIS
Fatemeh Moradi - Mehran Tarif - Mohammadhossein Homaei
A large input-space-margin approach for adversarial training
Reihaneh Nikouei - Mohammad Taheri
Blind image quality assessment based on Multi-resolution Local Structures
Seyed Majid Khorashadizadeh - Mehdi Sadeghi Bakhi - Fatemeh Seifishahpar - AliMohammad Latif
FAHP-OF: A New Method for Load Balancing in RPL-based Internet of Things (IoT)
Mohammad Koosha - Behnam Farzaneh - Emad Alizadeh - Shahin Farzaneh
Efficient Prediction of Cardiovascular Disease via Extra Tree Feature Selection
Mina Abroodi - Mohammad Reza Keyvanpour - Ghazaleh Kakavand Teimoory
DRL-based Decision-Making for Autonomous Vehicle Collision Avoidance
Hoda Gholamrezaee - Seyedreza Taghizadeh - Ali Honarjoo
more
Samin Hamayesh - Version 43.7.0