arXiv subjects

Fayssal Bendaoud

Publications and source records attributed to Fayssal Bendaoud.

3 recordsLinked to original sources

arXiv2026

A DQN-based model for intelligent network selection in heterogeneous wireless systems

Wireless communications have been at the center of the revolution in technology for the last few years. The 5G communication system is the pinnacle of these technologies; however 4G LTE, WiFi, and even satellite technologies are still employed worldwide. So, the aim of the next generation network is to take advantage of these technologies for the better of the end users. Our research analyzes this subject and reveals a new and intelligent method that allows users to select the suitable RAT at each time and, therefore, to switch to another RAT if necessary. The Deep Q Network DQN algorithm was utilized, which is a reinforcement learning algorithm that determines judgments based on antecedent actions (rewards and punishments). The approach exhibits a high accuracy, reaching 93 percent, especially after a given number of epochs (the exploration phase), compared to typical MADM methods where the accuracy does not exceed 75 percent

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arXiv2014

Allocation des ressources radio en LTE

In this paper we investigate several approaches and algorithms that have been proposed in the literature to address the need (allocate resources efficiently), this diversity and multitude of algorithms is related the factors considered for the optimal management of requested radio traffic type resource, specifically the requested QoS by the EU.

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arXiv2014

Survey On Scheduling And Radio Resources Allocation In Lte

This paper focuses on an essential task of the enhanced NodeB eNodeB element in LTE architecture, the Radio Resource Manager RRM, which aims to accept or reject requests for connection to the network based on some constraints and ensuring optimal distribution of radio resources between Users Equipments UEs. Its main functionalities include Admission Control AC and Packet Scheduling PS. This paper will center mainly on the PS part of the RRM task, which performs the radio resource allocation in both uplink and downlink directions. Several approaches and algorithms have been proposed in the literature to address this need ie : allocate resources efficiently, the diversity and multitude of algorithms is related to the factors considered for the optimal management of radio resource, specifically, the traffic type and the QoS Quality of Service requested by the UE. In this article, an art's state of the radio resource allocation strategies and a detailed study of several scheduling algorithms proposed for LTE (uplink and downlink) are made. Therefore, we offer our evaluation and criticism.

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