The Experts below are selected from a list of 11379 Experts worldwide ranked by ideXlab platform

Chadi Barakat - One of the best experts on this subject based on the ideXlab platform.

  • Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    IEEE Transactions on Mobile Computing, 2020
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose two variable deadline policies; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60 percent of the total traffic can be offloaded which is around 20 percent larger compared to existing allocation policies.

  • Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    IEEE Transactions on Mobile Computing, 2020
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose two variable deadline policies; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60% of the total traffic can be offloaded which is around 20% larger compared to existing allocation policies.

  • MSWiM - Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    Proceedings of the 20th ACM International Conference on Modelling Analysis and Simulation of Wireless and Mobile Systems, 2017
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose a variable deadline policy; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60% of the total traffic can be offloaded which is around 20% larger compared to existing allocation policies.

  • Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    2017
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose a variable deadline policy; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60% of the total traffic can be offloaded which is around 20% larger compared to existing allocation policies.

Sami Tabbane - One of the best experts on this subject based on the ideXlab platform.

  • a traffic qos aware approach for Cellular Infrastructure offloading using vanets
    International Workshop on Quality of Service, 2014
    Co-Authors: Ghayet El Mouna Zhioua, Houda Labiod, Nabil Tabbane, Sami Tabbane
    Abstract:

    Offloading a part of Cellular traffic through other kinds of networks, such as Wi-Fi hotspots and femtoCells represents an interesting solution for operators to cope with the high user traffic demand increase. In this paper, we propose to use the Vehicular ad hoc Networks (VANETs) for the same purpose. We present an analytical study based on an optimization problem formulation to evaluate the potential of VANET to vehicle part of the Cellular traffic. The offloading decision considers several constraints related to vehicle-to-Infrastructure link availability, channel and medium contention, vehicle-to-vehicle link capacity and quality, data flows volume and the link connectivity duration between the vehicle and the road side unit. Moreover, the originality of this work is the consideration of flow's service class in the offloading decision. Numerical results show that the data offloading fraction is closely affected by the data volume of the flows and by vehicular link quality. Results show also that best effort and background traffics have more priority to be offloaded than the video streaming traffics.

  • VANET Inherent Capacity for Offloading Wireless Cellular Infrastructure: An Analytical Study
    2014 6th International Conference on New Technologies Mobility and Security (NTMS), 2014
    Co-Authors: Ghayet El Mouna Zhioua, Houda Labiod, Nabil Tabbane, Sami Tabbane
    Abstract:

    Due to the high user traffic demand increase, offloading Cellular traffic through other kinds of networks, such as Wi-Fi hotspots and femtoCells has been highly studied. In this paper, we investigate upon the possibility to use Vehicular ad hoc Networks (VANETs) for the offloading the Cellular Infrastructure. We present an analytical study based on an optimization problem formulation where the aim is to select a maximum target set of flows that could be routed to the destination downloader node through the VANET network. The offloading decision considers the vehicular link availability, channel load by considering medium contention, vehicle to vehicle link quality and the link connectivity duration between the VANET node and the road side unit. Simulation results of our analytical approach show that the data offloading fraction is closely affected by the data volume of the flows, the channel load and by the link quality. Results show also that the offload of best effort data traffics could reach 100 percent for low data volumes.

  • NTMS - VANET Inherent Capacity for Offloading Wireless Cellular Infrastructure: An Analytical Study
    2014 6th International Conference on New Technologies Mobility and Security (NTMS), 2014
    Co-Authors: Ghayet El Mouna Zhioua, Houda Labiod, Nabil Tabbane, Sami Tabbane
    Abstract:

    Due to the high user traffic demand increase, offloading Cellular traffic through other kinds of networks, such as Wi-Fi hotspots and femtoCells has been highly studied. In this paper, we investigate upon the possibility to use Vehicular ad hoc Networks (VANETs) for the offloading the Cellular Infrastructure. We present an analytical study based on an optimization problem formulation where the aim is to select a maximum target set of flows that could be routed to the destination downloader node through the VANET network. The offloading decision considers the vehicular link availability, channel load by considering medium contention, vehicle to vehicle link quality and the link connectivity duration between the VANET node and the road side unit. Simulation results of our analytical approach show that the data offloading fraction is closely affected by the data volume of the flows, the channel load and by the link quality. Results show also that the offload of best effort data traffics could reach 100 percent for low data volumes.

  • IWQoS - A traffic QoS aware approach for Cellular Infrastructure offloading using VANETs
    2014 IEEE 22nd International Symposium of Quality of Service (IWQoS), 2014
    Co-Authors: Ghayet El Mouna Zhioua, Houda Labiod, Nabil Tabbane, Sami Tabbane
    Abstract:

    Offloading a part of Cellular traffic through other kinds of networks, such as Wi-Fi hotspots and femtoCells represents an interesting solution for operators to cope with the high user traffic demand increase. In this paper, we propose to use the Vehicular ad hoc Networks (VANETs) for the same purpose. We present an analytical study based on an optimization problem formulation to evaluate the potential of VANET to vehicle part of the Cellular traffic. The offloading decision considers several constraints related to vehicle-to-Infrastructure link availability, channel and medium contention, vehicle-to-vehicle link capacity and quality, data flows volume and the link connectivity duration between the vehicle and the road side unit. Moreover, the originality of this work is the consideration of flow's service class in the offloading decision. Numerical results show that the data offloading fraction is closely affected by the data volume of the flows and by vehicular link quality. Results show also that best effort and background traffics have more priority to be offloaded than the video streaming traffics.

Sanjay Srivastava - One of the best experts on this subject based on the ideXlab platform.

  • edge level vehicular traffic estimation using Cellular Infrastructure and other sources
    Communication Systems and Networks, 2015
    Co-Authors: Manish Chaturvedi, Sanjay Srivastava
    Abstract:

    Intelligent Transportation Systems (ITS) play major role in generating fine grained vehicular traffic information for city wide or larger region. However, in developing countries like India, limited ITS Infrastructure is available. On the other hand, Cellular Infrastructure is widely deployed in India with more than 867 million Cellular connections and more than 70% Cellular teledensity [1]. Also, on some major arterial roads, video cameras are deployed for surveillance purpose. The aim of this study is to assess feasibility of using these alternate sources to generate accurate traffic information for all the edges in a road network. The simulation results show that, even with large location error of 250–500 meters, edge level vehicle flow estimation with good accuracy (less than 10% error) is feasible using Cellular network data. Using Cellular network data alone, the edges can be classified as congested or uncongested. For edge level speed estimation, we propose a simple and novel approach for fusing widely available but erroneous flow data from Cellular network with the spatially sparse but accurate flow-speed data from other sources (e.g. loop detectors or video cameras). The simulation results show that edge level speed estimation with good accuracy (less than 15% median error) is feasible using the proposed approach.

  • COMSNETS - Edge level vehicular traffic estimation using Cellular Infrastructure and other sources
    2015 7th International Conference on Communication Systems and Networks (COMSNETS), 2015
    Co-Authors: Manish Chaturvedi, Sanjay Srivastava
    Abstract:

    Intelligent Transportation Systems (ITS) play major role in generating fine grained vehicular traffic information for city wide or larger region. However, in developing countries like India, limited ITS Infrastructure is available. On the other hand, Cellular Infrastructure is widely deployed in India with more than 867 million Cellular connections and more than 70% Cellular teledensity [1]. Also, on some major arterial roads, video cameras are deployed for surveillance purpose. The aim of this study is to assess feasibility of using these alternate sources to generate accurate traffic information for all the edges in a road network. The simulation results show that, even with large location error of 250–500 meters, edge level vehicle flow estimation with good accuracy (less than 10% error) is feasible using Cellular network data. Using Cellular network data alone, the edges can be classified as congested or uncongested. For edge level speed estimation, we propose a simple and novel approach for fusing widely available but erroneous flow data from Cellular network with the spatially sparse but accurate flow-speed data from other sources (e.g. loop detectors or video cameras). The simulation results show that edge level speed estimation with good accuracy (less than 15% median error) is feasible using the proposed approach.

  • real time vehicular traffic estimation using Cellular Infrastructure
    IEEE International Conference on Advanced Networks and Telecommunications Systems, 2013
    Co-Authors: Manish Chaturvedi, Sanjay Srivastava
    Abstract:

    Availability of city wide accurate traffic information enables optimal flow of vehicles in a road network. Intelligent Transportation Systems (ITS) play major role in generating fine grained traffic information. However, in developing countries like India, limited ITS Infrastructure is available and city wide manual traffic surveys are the basic source of traffic information. Manual traffic surveys are carried out by government agencies once every year or even less frequently and this instantaneous traffic information is extrapolated to presume traffic condition in a region for the whole year. The generated traffic information has limited application and government generally use it for planning transportation Infrastructure development. Cellular Infrastructure is widely deployed in India. As per TRAI Press Release No. 38/2013, there are more than 867 million Cellular connections in India and Cellular density is reported to be more than 70% [1]. Aim of our work is to study feasibility of using Cellular Infrastructure to generate useful traffic information. Our preliminary experiment with a vehicle carrying GSM modem shows that it is possible to track regions through which vehicle traverses just by using raw data about cell ID updates. The experiment also establishes need for a sophisticated map matching algorithm for determining exact route of a vehicle. We develop a map matching algorithm which can work with large location errors and show using simulations that it is possible to generate useful traffic information such as origin-destination of a trip, route and duration of a trip with in reasonable error bounds even with location error of 250-500 meters. However, for generating accurate travel time estimates for individual road segments, lower location error bounds are needed.

  • IEEE ANTS - Real time vehicular traffic estimation using Cellular Infrastructure
    2013 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2013
    Co-Authors: Manish Chaturvedi, Sanjay Srivastava
    Abstract:

    Availability of city wide accurate traffic information enables optimal flow of vehicles in a road network. Intelligent Transportation Systems (ITS) play major role in generating fine grained traffic information. However, in developing countries like India, limited ITS Infrastructure is available and city wide manual traffic surveys are the basic source of traffic information. Manual traffic surveys are carried out by government agencies once every year or even less frequently and this instantaneous traffic information is extrapolated to presume traffic condition in a region for the whole year. The generated traffic information has limited application and government generally use it for planning transportation Infrastructure development. Cellular Infrastructure is widely deployed in India. As per TRAI Press Release No. 38/2013, there are more than 867 million Cellular connections in India and Cellular density is reported to be more than 70% [1]. Aim of our work is to study feasibility of using Cellular Infrastructure to generate useful traffic information. Our preliminary experiment with a vehicle carrying GSM modem shows that it is possible to track regions through which vehicle traverses just by using raw data about cell ID updates. The experiment also establishes need for a sophisticated map matching algorithm for determining exact route of a vehicle. We develop a map matching algorithm which can work with large location errors and show using simulations that it is possible to generate useful traffic information such as origin-destination of a trip, route and duration of a trip with in reasonable error bounds even with location error of 250-500 meters. However, for generating accurate travel time estimates for individual road segments, lower location error bounds are needed.

Luigi Vigneri - One of the best experts on this subject based on the ideXlab platform.

  • Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    IEEE Transactions on Mobile Computing, 2020
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose two variable deadline policies; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60 percent of the total traffic can be offloaded which is around 20 percent larger compared to existing allocation policies.

  • Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    IEEE Transactions on Mobile Computing, 2020
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose two variable deadline policies; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60% of the total traffic can be offloaded which is around 20% larger compared to existing allocation policies.

  • MSWiM - Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    Proceedings of the 20th ACM International Conference on Modelling Analysis and Simulation of Wireless and Mobile Systems, 2017
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose a variable deadline policy; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60% of the total traffic can be offloaded which is around 20% larger compared to existing allocation policies.

  • Quality of Experience-Aware Mobile Edge Caching through a Vehicular Cloud
    2017
    Co-Authors: Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat
    Abstract:

    Densification through small cells and caching in base stations have been proposed to deal with the increasing demand for Internet content and the related overload on the Cellular Infrastructure. However, these solutions are expensive to install and maintain. Instead, using vehicles acting as mobile caches might represent an interesting alternative. In our work, we assume that users can query nearby vehicles for some time, and be redirected to the Cellular Infrastructure when the deadline expires. Beyond reducing costs, in such an architecture, through vehicle mobility, a user sees a much larger variety of locally accessible content within only few minutes. Unlike most of the related works on delay tolerant access, we consider the impact on the user experience by assigning different retrieval deadlines per content. In our paper, we provide the following contributions: (i) we model analytically such a scenario; (ii) we formulate an optimization problem to maximize the traffic offloaded while ensuring user experience guarantees; (iii) we propose a variable deadline policy; (iv) we perform realistic trace-based simulations, and we show that, even with low technology penetration rate, more than 60% of the total traffic can be offloaded which is around 20% larger compared to existing allocation policies.

Alexey Vinel - One of the best experts on this subject based on the ideXlab platform.

  • 3GPP LTE versus IEEE 802.11p/WAVE: Which technology is able to support cooperative vehicular safety applications?
    IEEE Wireless Communications Letters, 2012
    Co-Authors: Alexey Vinel
    Abstract:

    The concept of vehicular ad-hoc networks enables the design of emergent automotive safety applications, which are based on the awareness among vehicles. Recently, a suite of 802.11p/WAVE protocols aimed at supporting car-to-car communications was approved by IEEE. Existing Cellular Infrastructure and, above all 3GPP LTE, is being considered as another communication technology appropriate for vehicular applications. This letter provides a theoretical framework which compares the basic patterns of both the technologies in the context of safety-of-life vehicular scenarios. We present mathematical models for the evaluation of the considered protocols in terms of successful beacon delivery probability.