EL KAMILI Mohamed

Prof. EL KAMILI Mohamed

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Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2019
Verified
Conference Paper
Closed access
NNNidal Nasser
Nidal Nasser
AOAhmed el Ouadrhiri
Ahmed el Ouadrhiri
EL KAMILI MohamedEL KAMILI Mohamed
EL KAMILI Mohamed
AAAsmaa Ali
Asmaa Ali
MAMuhammad Anan
Muhammad Anan
The problem of managing congestion and overcrowding in a critical situation has largely been studied over the last decades. The problem is how to safely direct pedestrians with suitable velocity to the nearest floor in order to avoid the bottleneck. For example, in Hajj there is a ritual practice where millions of pilgrims arrive in a certain area and we should indicate the nearest and lowest congestion path that leads to the ritual. In this paper, we address this problem during the Hajj season and propose a crowd management service based on the game theory model. We modeled the problem as a Mean-Field-Game (MFG) where the solution is a system composed of a Backward Hamilton-Jacobi-Bellman equation and a Forward Transport (Kolmogorov) equation. Simulation results show the efficiency of the MFG solution on the total time out of the pilgrims to reach the ritual.
1 April 2014
Verified
Conference Paper
Closed access
AWAbdellaziz Walid
Abdellaziz Walid
EL KAMILI MohamedEL KAMILI Mohamed
EL KAMILI Mohamed
Abdellatif KobbaneAbdellatif Kobbane
Abdellatif Kobbane
AMAbdelfettah Mabrouk
Abdelfettah Mabrouk
Essaid SabirEssaid Sabir
Essaid Sabir
MKMohammed El Koutbi
Mohammed El Koutbi
The traditional vertical handover schemes postulate that vertical handover of each user comes on an individual basis. This enables the users to know previously the decision already made by other users, and then the choice will be made accordingly. However, in the case of a group vertical handover, almost all the VHO decisions - which will certainly choose the best network, will be made at the same time which will lead to system performance degradation or network congestion. In this paper, we propose a totally decentralized algorithm for network selection which based on the Congestion Game to resolve the problem of network congestion in GVHO. Therefore, the proposed algorithm named Fully Decentralized Nash Learning Algorithm with incomplete information is a prediction done by each mobile in the group that helps them to reach the Nash equilibrium. Simulation results validate the algorithm and show its robustness under two scenarios. In the first one, we examine the algorithm with a fixed number of mobiles in group to evaluate the mixed strategy and the average perceived throughput of mobiles in WIMAX and HSDPA on the basis of iteration. In the second one, we examine the algorithm with different number of mobiles in group for testing the average number of iterations needed to reach the Nash equilibrium. We also compare it with the traditional vertical handover algorithm.
2 February 2016
Verified
Book Chapter
Open access
PDF file
FLFatima Lakrami
Fatima Lakrami
NEN. Elkamoun
N. Elkamoun
EL KAMILI MohamedEL KAMILI Mohamed
EL KAMILI Mohamed
A mobile ad hoc network (MANET) is a decentralized type of wireless network, characterized by a dynamic topology. Supporting appropriate quality of service for mobile ad hoc networks is a complex and difficult task because of the bandwidth constraints and dynamic nature of the network. A routing protocol has a significant role in terms of the performance. It is used to discover and to establish correct and efficient route between a pair of source and destination nodes so that messages may be delivered in a timely manner. In this paper we have done the study of OLSR (Optimized Link State Routing) protocol. The key concept used in the protocol is that of multi-point relays (MPRs), which are selected nodes that forward broadcast messages during the flooding process. The objective of this paper is to examine QoS constraint in OLSR protocol. We present a state-of-the-art review and a comparison of typical representatives OLSR extensions, designed to enhance the quality of service in the original OLSR. The report aims to create a taxonomy of OLSR extension’s with QoS support on the basis of the nature and the number of the metrics used to adapt the protocol to QoS requirements.
1 December 2019
Verified
Conference Paper
Closed access
HGHamid Garmani
Hamid Garmani
DODriss Ait Omar
Driss Ait Omar
MBMohamed Baslam
Mohamed Baslam
EL KAMILI MohamedEL KAMILI Mohamed
EL KAMILI Mohamed
Unmanned aerial vehicles (UAVs) have recently received considerable attention to improve network coverage. One promising application is to use UAVs in Wireless communications field. UAVs offer a promising solution to extend coverage and to provide high-quality network connectivity in wireless communication. For this reason, this field has received more attention from researchers in recent years. However, there are several issues that have been raised and they are not yet resolved. To address these problems, the applicability of game theory approaches has recently been explored by researchers. In this paper, we have developed a new framework for the use of the UAV to cover access to network services for such a geographical area with a parameterization based on availability, access price and quality of service. A complete analytical study of the game's results, based on equilibrium price, equilibrium quality of service and equilibrium availability, is derived. More precisely, we showed the existence and uniqueness of the Nash equilibrium under some conditions. Furthermore, we are implementing the best response algorithm as a dynamic learning method that allows drones to quickly find the Nash Equilibrium situation in a distributed fashion. Finally, numerical analysis offers encouraging insights into how to choose game parameters to effectively control the game and confirm our proposal.
1 August 2014
Verified
Conference Paper
Closed access
PDF file
ABAfaf Bouhoute
Afaf Bouhoute
IBIsmail Berrada
Ismail Berrada
EL KAMILI MohamedEL KAMILI Mohamed
EL KAMILI Mohamed
Vehicular Ad-hoc Networks (VANET) are considered as a promising approach for building a variety of applications for Intelligent Transportation Systems (ITS). They are a kind of mobile networks that enables moving vehicles to exchange information about the driving environment. Although the amount of information disseminated through a VANET provides a great opportunity to enhance traffic safety, a study of the behavior of a human driver towards this information remains as an important axis to ensure safer roads. Driving behavior models are proposed by researchers as an important approach that allows a better understanding of human driving behavior. The main goal of this paper is to model and learn driver behavior in the presence of different type of traffic information. For this, we propose a new formal approach to construct a driving behavior model that will be adapted to an individual driver. To describe the model we define rectangular hybrid input output automata formalism which consists of an adaptation of a set of notions related to hybrid automata concept. Then for model construction, we propose an online passive learning based approach to construct the model according to the observed driving behavior. The constructed model may be useful to predict the driver behavior in the future, prevent unsafe situations and provide more comfort to the driver.
1 October 2016
Verified
Conference Paper
Closed access
MFMohamed Firdaoussi
Mohamed Firdaoussi
HGHicham Ghennioui
Hicham Ghennioui
EL KAMILI MohamedEL KAMILI Mohamed
EL KAMILI Mohamed
In the regard of cognitive radio or various military/ civilian applications, Modulation Recognition (MR) is a process whereby the modulation type of unknown received signal can be identified. In this paper, we propose a new MR method using the particular properties of the Generalized Mean Ambiguity Function (GMAF) of the Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Linear Digitally (SCLD) modulated signals, when affected by an Additive white Gaussian noise (AWGN). Computer simulations are provided to illustrate the usefulness and the behavior of the proposed method in the context of systems communications based on SCLD or OFDM signal.