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Oussama Bazzi - One of the best experts on this subject based on the ideXlab platform.

  • On the coexistence of broadcast and unicast in hybrid networks for the transmission of video services using stochastic geometry
    EURASIP Journal on Wireless Communications and Networking, 2020
    Co-Authors: Ahmad Shokair, Youssef Nasser, Jean-françois Hélard, Oussama Bazzi, Matthieu Crussière
    Abstract:

    Following the increasing growth in the demand on mobile TV, hybrid broadcast/broadband networks emerged as a suitable approach to overtake the challenges introduced by each network separately in order to enhance users’ experience. This paper presents two possible scenarios for a hybrid, spatially separated, broadcast/broadband network to offer mobile TV linear services for the end users. Namely, the first scenario is based on shared spectrum access for both networks while the second one proposes a dedicated spectrum. Using a stochastic geometry approach, the paper derives analytical formulations for both the Probability of Coverage and ergodic capacity. These formulations are then used to optimize the hybrid network in terms of its key design parameters including the broadcast (BC) Coverage radii, the broadband (BB) base stations’ (BS) density, and spectral capacity. The results have shown that an optimal BC radius maximizing the Probability of Coverage and capacity exists and it depends on the BS density of the BB network. Other design parameters have been provided and analyzed leading to an optimal network deployment. To the best of the author’s knowledge, this paper presents a first reference work dealing with the optimization of the hybrid network with the coexistence of broadband and broadcast networks, from stochastic geometry perspective, taking into account the inter-cell interference.

  • analysis of the Coverage Probability of cellular multicast single frequency networks
    Wireless and Mobile Computing Networking and Communications, 2019
    Co-Authors: Ahmad Shokair, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi, Youssef Nasser
    Abstract:

    Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the Coverage Probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the Coverage Probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the Probability of Coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment.

  • Analysis of Hybrid Broadcast/Broadband Networks With Multiple Broadcasting Stations
    IEEE Access, 2019
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Hybrid broadcast/broadband network (HBBN) presents a potential solution to mitigate the increasing demand for mobile TV. A proper HBBN deployment alleviates the limitations that each standalone network faces, thereby enhancing the global network Coverage and efficiency. In this paper, we propose to address the question of performance improvement expected from such HBBN by means of an analytical framework based on stochastic geometry modeling. To this end, we introduce a generic model of the HBBN where multiple broadcast transmitters and a broadband network are deployed in the same area, jointly offering linear services, one of the mobile TV services. Two different approaches derived from stochastic geometry are applied and compared through the analysis of what is commonly referred to as a Point Hole Process (PHP) Original Poisson Point Process (PPP), and reduced PPP. Both approaches are thoroughly analyzed to give better insights into broadcast/broadband coexistence while taking into account the inter-cell interference of both networks. Exact and simplified expressions for the key performance metrics are derived such as the Probability of Coverage and ergodic capacity. Those expressions are then used to numerically maximize the spectral and power efficiency of the HBBN regarding the broadcast Coverage radius and transmitters density. The results show that for a wide range of user density, the HBBN introduces gain compared to either BB or BC networks. To the best of the authors knowledge, this paper presents the first work dealing with the optimization of HBBN based on such a generic model and taking inter-cell and inter-network interference into consideration.

  • Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.

  • PIMRC - Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018 IEEE 29th Annual International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.

Ahmad Shokair - One of the best experts on this subject based on the ideXlab platform.

  • On the coexistence of broadcast and unicast in hybrid networks for the transmission of video services using stochastic geometry
    EURASIP Journal on Wireless Communications and Networking, 2020
    Co-Authors: Ahmad Shokair, Youssef Nasser, Jean-françois Hélard, Oussama Bazzi, Matthieu Crussière
    Abstract:

    Following the increasing growth in the demand on mobile TV, hybrid broadcast/broadband networks emerged as a suitable approach to overtake the challenges introduced by each network separately in order to enhance users’ experience. This paper presents two possible scenarios for a hybrid, spatially separated, broadcast/broadband network to offer mobile TV linear services for the end users. Namely, the first scenario is based on shared spectrum access for both networks while the second one proposes a dedicated spectrum. Using a stochastic geometry approach, the paper derives analytical formulations for both the Probability of Coverage and ergodic capacity. These formulations are then used to optimize the hybrid network in terms of its key design parameters including the broadcast (BC) Coverage radii, the broadband (BB) base stations’ (BS) density, and spectral capacity. The results have shown that an optimal BC radius maximizing the Probability of Coverage and capacity exists and it depends on the BS density of the BB network. Other design parameters have been provided and analyzed leading to an optimal network deployment. To the best of the author’s knowledge, this paper presents a first reference work dealing with the optimization of the hybrid network with the coexistence of broadband and broadcast networks, from stochastic geometry perspective, taking into account the inter-cell interference.

  • analysis of the Coverage Probability of cellular multicast single frequency networks
    Wireless and Mobile Computing Networking and Communications, 2019
    Co-Authors: Ahmad Shokair, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi, Youssef Nasser
    Abstract:

    Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the Coverage Probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the Coverage Probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the Probability of Coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment.

  • Analysis of Hybrid Broadcast/Broadband Networks With Multiple Broadcasting Stations
    IEEE Access, 2019
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Hybrid broadcast/broadband network (HBBN) presents a potential solution to mitigate the increasing demand for mobile TV. A proper HBBN deployment alleviates the limitations that each standalone network faces, thereby enhancing the global network Coverage and efficiency. In this paper, we propose to address the question of performance improvement expected from such HBBN by means of an analytical framework based on stochastic geometry modeling. To this end, we introduce a generic model of the HBBN where multiple broadcast transmitters and a broadband network are deployed in the same area, jointly offering linear services, one of the mobile TV services. Two different approaches derived from stochastic geometry are applied and compared through the analysis of what is commonly referred to as a Point Hole Process (PHP) Original Poisson Point Process (PPP), and reduced PPP. Both approaches are thoroughly analyzed to give better insights into broadcast/broadband coexistence while taking into account the inter-cell interference of both networks. Exact and simplified expressions for the key performance metrics are derived such as the Probability of Coverage and ergodic capacity. Those expressions are then used to numerically maximize the spectral and power efficiency of the HBBN regarding the broadcast Coverage radius and transmitters density. The results show that for a wide range of user density, the HBBN introduces gain compared to either BB or BC networks. To the best of the authors knowledge, this paper presents the first work dealing with the optimization of HBBN based on such a generic model and taking inter-cell and inter-network interference into consideration.

  • Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.

  • PIMRC - Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018 IEEE 29th Annual International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.

Matthieu Crussière - One of the best experts on this subject based on the ideXlab platform.

  • On the coexistence of broadcast and unicast in hybrid networks for the transmission of video services using stochastic geometry
    EURASIP Journal on Wireless Communications and Networking, 2020
    Co-Authors: Ahmad Shokair, Youssef Nasser, Jean-françois Hélard, Oussama Bazzi, Matthieu Crussière
    Abstract:

    Following the increasing growth in the demand on mobile TV, hybrid broadcast/broadband networks emerged as a suitable approach to overtake the challenges introduced by each network separately in order to enhance users’ experience. This paper presents two possible scenarios for a hybrid, spatially separated, broadcast/broadband network to offer mobile TV linear services for the end users. Namely, the first scenario is based on shared spectrum access for both networks while the second one proposes a dedicated spectrum. Using a stochastic geometry approach, the paper derives analytical formulations for both the Probability of Coverage and ergodic capacity. These formulations are then used to optimize the hybrid network in terms of its key design parameters including the broadcast (BC) Coverage radii, the broadband (BB) base stations’ (BS) density, and spectral capacity. The results have shown that an optimal BC radius maximizing the Probability of Coverage and capacity exists and it depends on the BS density of the BB network. Other design parameters have been provided and analyzed leading to an optimal network deployment. To the best of the author’s knowledge, this paper presents a first reference work dealing with the optimization of the hybrid network with the coexistence of broadband and broadcast networks, from stochastic geometry perspective, taking into account the inter-cell interference.

  • Analysis of the Coverage Probability of cellular multicast single frequency networks
    2019
    Co-Authors: A. Shokair, Matthieu Crussière, J.-f. Helard, O. Bazzi, Y. Nasser
    Abstract:

    Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the Coverage Probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the Coverage Probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the Probability of Coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment. © 2019 IEEE.

  • analysis of the Coverage Probability of cellular multicast single frequency networks
    Wireless and Mobile Computing Networking and Communications, 2019
    Co-Authors: Ahmad Shokair, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi, Youssef Nasser
    Abstract:

    Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the Coverage Probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the Coverage Probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the Probability of Coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment.

  • Analysis of Hybrid Broadcast/Broadband Networks With Multiple Broadcasting Stations
    IEEE Access, 2019
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Hybrid broadcast/broadband network (HBBN) presents a potential solution to mitigate the increasing demand for mobile TV. A proper HBBN deployment alleviates the limitations that each standalone network faces, thereby enhancing the global network Coverage and efficiency. In this paper, we propose to address the question of performance improvement expected from such HBBN by means of an analytical framework based on stochastic geometry modeling. To this end, we introduce a generic model of the HBBN where multiple broadcast transmitters and a broadband network are deployed in the same area, jointly offering linear services, one of the mobile TV services. Two different approaches derived from stochastic geometry are applied and compared through the analysis of what is commonly referred to as a Point Hole Process (PHP) Original Poisson Point Process (PPP), and reduced PPP. Both approaches are thoroughly analyzed to give better insights into broadcast/broadband coexistence while taking into account the inter-cell interference of both networks. Exact and simplified expressions for the key performance metrics are derived such as the Probability of Coverage and ergodic capacity. Those expressions are then used to numerically maximize the spectral and power efficiency of the HBBN regarding the broadcast Coverage radius and transmitters density. The results show that for a wide range of user density, the HBBN introduces gain compared to either BB or BC networks. To the best of the authors knowledge, this paper presents the first work dealing with the optimization of HBBN based on such a generic model and taking inter-cell and inter-network interference into consideration.

  • Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.

Alexandre Mouradian - One of the best experts on this subject based on the ideXlab platform.

  • Modeling dense urban wireless networks with 3D stochastic geometry
    Performance Evaluation, 2018
    Co-Authors: Alexandre Mouradian
    Abstract:

    Over the past decade, many works on the modeling of wireless networks using stochastic geometry have been proposed. Results about Probability of Coverage, capacity or mean interference, have been provided for a wide variety of networks (cellular, ad hoc, cognitive, sensors, etc.). These results notably allow to tune network protocol parameters. Nevertheless, in their vast majority, these works assume that the wireless network deployment is flat: nodes are placed on the Euclidean plane. However, this assumption is disproved in dense urban environments where many nodes are deployed in high buildings. In this paper, we derive the exact form of the Probability of Coverage for the cases where the interferers form a 3D Poisson Point Process (PPP) and an approximation for the 3D Modified Matern Process (MMP). We compare the 3D model with the 2D model and with simulation results. We comment the adequacy of each model depending on the parameters of the nodes (emission power, reception threshold, MAC protocol, etc.) and the height of the buildings in the simulations.

  • Modeling Dense Urban Wireless Networks with 3D Stochastic Geometry
    arXiv: Networking and Internet Architecture, 2015
    Co-Authors: Alexandre Mouradian
    Abstract:

    Over the past decade, many works on the modeling of wireless networks using stochastic geometry have been proposed. Results about Probability of Coverage, throughput or mean interference, have been provided for a wide variety of networks (cellular, ad-hoc, cognitive, sensors, etc). These results notably allow to tune network protocol parameters. Nevertheless, in their vast majority, these works assume that the wireless network deployment is flat: nodes are placed on the Euclidean plane. However, this assumption is disproved in dense urban environments where many nodes are deployed in high buildings. In this letter, we derive the exact form of the Probability of Coverage for the cases where the interferers form a 3D Poisson Point Process (PPP) and a 3D Modified Matern Process (MMP), and compare the results with the 2D case. The main goal of this letter is to show that the 2D model, although being the most common, can lead either to an optimistic or a pessimistic evaluation of the Probability of Coverage depending on the parameters of the model.

Youssef Nasser - One of the best experts on this subject based on the ideXlab platform.

  • On the coexistence of broadcast and unicast in hybrid networks for the transmission of video services using stochastic geometry
    EURASIP Journal on Wireless Communications and Networking, 2020
    Co-Authors: Ahmad Shokair, Youssef Nasser, Jean-françois Hélard, Oussama Bazzi, Matthieu Crussière
    Abstract:

    Following the increasing growth in the demand on mobile TV, hybrid broadcast/broadband networks emerged as a suitable approach to overtake the challenges introduced by each network separately in order to enhance users’ experience. This paper presents two possible scenarios for a hybrid, spatially separated, broadcast/broadband network to offer mobile TV linear services for the end users. Namely, the first scenario is based on shared spectrum access for both networks while the second one proposes a dedicated spectrum. Using a stochastic geometry approach, the paper derives analytical formulations for both the Probability of Coverage and ergodic capacity. These formulations are then used to optimize the hybrid network in terms of its key design parameters including the broadcast (BC) Coverage radii, the broadband (BB) base stations’ (BS) density, and spectral capacity. The results have shown that an optimal BC radius maximizing the Probability of Coverage and capacity exists and it depends on the BS density of the BB network. Other design parameters have been provided and analyzed leading to an optimal network deployment. To the best of the author’s knowledge, this paper presents a first reference work dealing with the optimization of the hybrid network with the coexistence of broadband and broadcast networks, from stochastic geometry perspective, taking into account the inter-cell interference.

  • analysis of the Coverage Probability of cellular multicast single frequency networks
    Wireless and Mobile Computing Networking and Communications, 2019
    Co-Authors: Ahmad Shokair, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi, Youssef Nasser
    Abstract:

    Video streaming and mobile TV services have recently gained great research interest with the advances in mobile hardware technologies and the development of single frequency networks (SFN). However, the analysis of the Coverage Probability of these services in SFN has been and remains a complicated task due to the specific behavior of the received SFN signal and its effect on the useful signal. In this framework, we propose a new approach to model and evaluate the Coverage Probability for such network configuration. More particularly, using stochastic geometry, we propose a suitable approximation of the problem based on the closest SFN base stations. The resulted expressions represent a lower bound for the Probability of Coverage of the SFN. The proposed approximation leads to a good trade-off between accuracy and tractability. Numerical simulation results prove the validity of the proposed approach and related theoretical results, especially in a high path loss environment.

  • Analysis of Hybrid Broadcast/Broadband Networks With Multiple Broadcasting Stations
    IEEE Access, 2019
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Hybrid broadcast/broadband network (HBBN) presents a potential solution to mitigate the increasing demand for mobile TV. A proper HBBN deployment alleviates the limitations that each standalone network faces, thereby enhancing the global network Coverage and efficiency. In this paper, we propose to address the question of performance improvement expected from such HBBN by means of an analytical framework based on stochastic geometry modeling. To this end, we introduce a generic model of the HBBN where multiple broadcast transmitters and a broadband network are deployed in the same area, jointly offering linear services, one of the mobile TV services. Two different approaches derived from stochastic geometry are applied and compared through the analysis of what is commonly referred to as a Point Hole Process (PHP) Original Poisson Point Process (PPP), and reduced PPP. Both approaches are thoroughly analyzed to give better insights into broadcast/broadband coexistence while taking into account the inter-cell interference of both networks. Exact and simplified expressions for the key performance metrics are derived such as the Probability of Coverage and ergodic capacity. Those expressions are then used to numerically maximize the spectral and power efficiency of the HBBN regarding the broadcast Coverage radius and transmitters density. The results show that for a wide range of user density, the HBBN introduces gain compared to either BB or BC networks. To the best of the authors knowledge, this paper presents the first work dealing with the optimization of HBBN based on such a generic model and taking inter-cell and inter-network interference into consideration.

  • Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.

  • PIMRC - Analytical Study of the Probability of Coverage in Hybrid Broadcast-Unicast Networks
    2018 IEEE 29th Annual International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2018
    Co-Authors: Ahmad Shokair, Youssef Nasser, Matthieu Crussière, Jean-françois Hélard, Oussama Bazzi
    Abstract:

    Linear services such as mobile TV are witnessing an increasing demand, creating challenges for conventional delivery methods in both broadcast and broadband networks. To overcome this problem, a hybrid delivery approach combining both networks has recently emerged. Using stochastic geometry and a Poisson point process distribution of the users and access points, this paper discusses a hybrid broadcast/unicast network model where an analytical approach was undertaken, deriving a new expression for the Probability of Coverage. The model is then used to assess the feasibility of the proposed hybrid scheme and then extended to numerically find the optimal operation point in terms of key design parameters including user density in the network.