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Tomoaki Ohtsuki - One of the best experts on this subject based on the ideXlab platform.

  • a model based on Poisson Point Process for downlink k tiers fractional frequency reuse heterogeneous networks
    Physical Communication, 2014
    Co-Authors: He Zhuang, Tomoaki Ohtsuki
    Abstract:

    Modern cellular networks are currently transitioning from homogeneous networks to heterogeneous networks (HetNets). Unlike homogeneous networks, HetNets comprise of K tiers of random base stations (BSs), where each tier may differ in terms of transmit power, BSs' deployment density and target signal to interference plus noise ratio (SINR). Although HetNets significantly increase spatial frequency efficiency and transmit capacity, they also introduce two main problems: introducing cross-tier interference, and increasing the difficulty of modeling and analysis, due to the increase of randomness of BSs' locations, particularly, user-deployed femto BSs. For the first problem, fractional frequency reuse (FFR), as an interference management technique, can mitigate effectively the impact of interference. Recently, the Poisson Point Process (PPP) is more and more used to model HetNets, because it can naturally capture the randomness of the BSs' locations. In this work, we develop a general downlink model based on PPP for HetNets utilizing FFR. We derive tractable expressions of coverage probability under both open and closed access schemes, which even can be simplified to a simple closed form for interference-limited HetNets (neglect noise). We also show the impact of the main parameters on the coverage probability.

  • a model based on Poisson Point Process for analyzing mimo heterogeneous networks utilizing fractional frequency reuse
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: He Zhuang, Tomoaki Ohtsuki
    Abstract:

    In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) hetero- geneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson Point Process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expres- sions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases. Index Terms—Poisson Point Process (PPP), multiple-input multiple-output (MIMO), fractional frequency reuse (FFR), het- erogeneous networks (HetNets).

  • A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: He Zhuang, Tomoaki Ohtsuki
    Abstract:

    In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson Point Process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expressions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases.

He Zhuang - One of the best experts on this subject based on the ideXlab platform.

  • a model based on Poisson Point Process for downlink k tiers fractional frequency reuse heterogeneous networks
    Physical Communication, 2014
    Co-Authors: He Zhuang, Tomoaki Ohtsuki
    Abstract:

    Modern cellular networks are currently transitioning from homogeneous networks to heterogeneous networks (HetNets). Unlike homogeneous networks, HetNets comprise of K tiers of random base stations (BSs), where each tier may differ in terms of transmit power, BSs' deployment density and target signal to interference plus noise ratio (SINR). Although HetNets significantly increase spatial frequency efficiency and transmit capacity, they also introduce two main problems: introducing cross-tier interference, and increasing the difficulty of modeling and analysis, due to the increase of randomness of BSs' locations, particularly, user-deployed femto BSs. For the first problem, fractional frequency reuse (FFR), as an interference management technique, can mitigate effectively the impact of interference. Recently, the Poisson Point Process (PPP) is more and more used to model HetNets, because it can naturally capture the randomness of the BSs' locations. In this work, we develop a general downlink model based on PPP for HetNets utilizing FFR. We derive tractable expressions of coverage probability under both open and closed access schemes, which even can be simplified to a simple closed form for interference-limited HetNets (neglect noise). We also show the impact of the main parameters on the coverage probability.

  • a model based on Poisson Point Process for analyzing mimo heterogeneous networks utilizing fractional frequency reuse
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: He Zhuang, Tomoaki Ohtsuki
    Abstract:

    In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) hetero- geneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson Point Process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expres- sions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases. Index Terms—Poisson Point Process (PPP), multiple-input multiple-output (MIMO), fractional frequency reuse (FFR), het- erogeneous networks (HetNets).

  • A Model Based on Poisson Point Process for Analyzing MIMO Heterogeneous Networks Utilizing Fractional Frequency Reuse
    IEEE Transactions on Wireless Communications, 2014
    Co-Authors: He Zhuang, Tomoaki Ohtsuki
    Abstract:

    In this paper, we propose a tractable and flexible model for K-tier multiple-input-multiple-output (MIMO) heterogeneous networks (HetNets), with the fractional frequency reuse (FFR) technique, based on the spatial Poisson Point Process (PPP). The MIMO HetNets consist of K tiers of base stations (BSs), where each tier may differ in terms of the transmit power, the BSs' deployment density, the target signal-to-interference ratio, the number of antennas, and the MIMO technique. Since HetNets experience serious cross-tier interference, FFR, as an interference management technique, is found as a suitable solution. Due to the randomness of the BSs' locations, the PPP is more and more used to model them in HetNets. In this paper, we use different independent PPPs to model the BSs' locations of each tier, and we take different MIMO techniques into consideration. We focus on two main types of FFR techniques, i.e., strict FFR and soft frequency reuse, and we derive the coverage probability expressions of cell-edge users (the users at the cell edge). We also derive the average rate expressions and show the impact of the main parameters on the coverage probability under closed-access and open-access cases.

Tommy Svensson - One of the best experts on this subject based on the ideXlab platform.

  • On the performance of the Poisson-Point-Process-based networks with no channel state information feedback
    IET Communications, 2016
    Co-Authors: Chao Fang, Behrooz Makki, Tommy Svensson
    Abstract:

    Recently, substantial attention has been paid to analyse the performance of wireless networks in the cases where the positions of the base stations are modelled by stochastic geometry. In this study, the authors analyse the performance of Rayleigh-fading Poisson-Point-Process (PPP)-based networks. They derive the optimal transmission rate that maximises the per-user throughput. Also, they determine sufficient conditions for positive diversity gain in PPP-based networks, develop tight approximations for the effective density of the network and give a simplified expression to calculate the outage probability for the interference-limited case. The analytical and the numerical results demonstrate considerable potential for efficient data transmission in PPP-based networks.

  • HARQ in Poisson Point Process-Based Heterogeneous Networks
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Chao Fang, Yateng Hong, Behrooz Makki, Xiaodong Xu, Tommy Svensson
    Abstract:

    Hybrid automatic repeat request (HARQ) plays an important role in improving the transmission efficiency and the robustness of wireless networks. Considering K-tier heterogeneous networks (HetNets) and modelling the locations of the base stations (BSs) as a homogeneous Poisson Point Process (PPP), this paper investigates the performance of HetNets implementing HARQ. We give closed- form expressions for the quality of service (QoS) coverage probability which is defined in terms of whether the received signal quality is above a predetermined threshold, and the per-user throughput with HARQ. We show that using HARQ can indeed improve the QoS coverage probability. However, depending on the channel conditions, the per-user throughput of the HetNets may decrease by the implementation of HARQ. Furthermore, we show that the small cell density has negligible effect on the QoS coverage probability and the per-user throughput, and the per-user throughput may increase with the small cell path loss.

Chao Fang - One of the best experts on this subject based on the ideXlab platform.

  • On the performance of the Poisson-Point-Process-based networks with no channel state information feedback
    IET Communications, 2016
    Co-Authors: Chao Fang, Behrooz Makki, Tommy Svensson
    Abstract:

    Recently, substantial attention has been paid to analyse the performance of wireless networks in the cases where the positions of the base stations are modelled by stochastic geometry. In this study, the authors analyse the performance of Rayleigh-fading Poisson-Point-Process (PPP)-based networks. They derive the optimal transmission rate that maximises the per-user throughput. Also, they determine sufficient conditions for positive diversity gain in PPP-based networks, develop tight approximations for the effective density of the network and give a simplified expression to calculate the outage probability for the interference-limited case. The analytical and the numerical results demonstrate considerable potential for efficient data transmission in PPP-based networks.

  • HARQ in Poisson Point Process-Based Heterogeneous Networks
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Chao Fang, Yateng Hong, Behrooz Makki, Xiaodong Xu, Tommy Svensson
    Abstract:

    Hybrid automatic repeat request (HARQ) plays an important role in improving the transmission efficiency and the robustness of wireless networks. Considering K-tier heterogeneous networks (HetNets) and modelling the locations of the base stations (BSs) as a homogeneous Poisson Point Process (PPP), this paper investigates the performance of HetNets implementing HARQ. We give closed- form expressions for the quality of service (QoS) coverage probability which is defined in terms of whether the received signal quality is above a predetermined threshold, and the per-user throughput with HARQ. We show that using HARQ can indeed improve the QoS coverage probability. However, depending on the channel conditions, the per-user throughput of the HetNets may decrease by the implementation of HARQ. Furthermore, we show that the small cell density has negligible effect on the QoS coverage probability and the per-user throughput, and the per-user throughput may increase with the small cell path loss.

Iraj Sadegh Amiri - One of the best experts on this subject based on the ideXlab platform.

  • A Stochastically Geometrical Poisson Point Process Approach for the Future 5G D2D Enabled Cooperative Cellular Network
    IEEE Access, 2019
    Co-Authors: Faizan Qamar, Kaharudin Dimyati, Mhd Nour Hindia, Kamarul Ariffin Noordin, Iraj Sadegh Amiri
    Abstract:

    Due to recent developments in the cellular communication system, stochastic Process implementation is necessary. The cellular communication system exhibits random patterns in various domains, thereby compelling the utilization of stochastic Processes to achieve an optimal output. User behaviors with respect to the variable geographical pattern, population density, architecture, data usage, and mobility over various cells are random in nature. Therefore, the stochastic-geometry-based Poisson Point Process (PPP) technique can be implemented to accurately analyze these random Processes in device-to-device (D2D)-based cooperative cellular networks. The stochastic modeling entails the consideration of transmitters and receivers as the elements of stochastic Point Processes. The hexagonal method is not applicable for the implementation of heterogeneous network topologies, as it is not suitable for topologies, in which the cell size is not fixed. Therefore, a randomly designed heterogeneous network uses stochastic geometry as a viable solution for predicting the probabilistic parameters, including the cell interference, load distribution, coverage probability, base station (BS) mapping, and signal-to-interference-plus-noise ratio (SINR). Moreover, as a network architecture that is based on relay nodes (RNs), cellular and D2D users can be utilized in the domain of homogeneous random models. The associated phenomenon can be considered independent and Poisson. In this paper, the stochastic-geometric-based PPP approach is introduced for modeling the SINR, success probability, ergodic capacity, and outage probability for the D2D-enabled cooperative cellular network. The proposed PPP realistic model utilizes BS, RN, the cellular user (CU), and D2D user positioning method to design an interference-free network. The success probability, ergodic capacity, and outage probability for cellular and D2D users are used as metrics for evaluating the results with respect to various SINR threshold values and node densities. Moreover, the total success probability, ergodic capacity, and outage probability have been calculated for various multiple-input-multiple-output (MIMO) antenna configurations to validate the results. The results confirmed that the proposed PPP model approach outperforms the grid model and conventional multi-antenna ultra-dense network (UDN) approaches.