The Experts below are selected from a list of 25560 Experts worldwide ranked by ideXlab platform
Hao Jiang - One of the best experts on this subject based on the ideXlab platform.
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a 3 d non stationary wideband geometry based channel model for mimo vehicle to vehicle communications in tunnel environments
IEEE Transactions on Vehicular Technology, 2019Co-Authors: Hao Jiang, Zaichen Zhang, Jian Dang, Guan GuiAbstract:In this paper, we present a three-dimensional (3-D) wideband geometry-based channel model for multiple-input and multiple-output vehicle-to-vehicle (V2V) communication in tunnel environments. We introduce a two-cylinder model to describe moving vehicles, as well as multiple confocal semi-ellipsoid models to depict internal surfaces of tunnel walls. The received signal is constructed as a sum of direct line-of-sight propagations, rays with single and double interactions. The movement between the Mobile transmitter and Mobile Receiver results in time-varying geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel characteristics are studied for different V2V scenarios. The numerical results demonstrate that the proposed 3-D non-wide-sense stationary (WSS) wideband channel model is practical for characterizing real V2V channels.
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Three-Dimensional Non-Stationary Wideband Geometry-Based UAV Channel Model for A2G Communication Environments
IEEE Access, 2019Co-Authors: Hao Jiang, Zaiche Zhang, Gua GuiAbstract:In this paper, we propose a novel three-dimensional multiple-input multiple-output channel model to describe the air-to-ground (A2G) communication environments. The model introduces the unmanned aerial vehicle (UAV) transmitter and ground Mobile Receiver (MR) located at the foci points of the boundary ellipsoid, while different ellipsoids represent the propagation properties for different time delays. In light of this, we are able to investigate the propagation properties of the A2G channel model for different time delays. Furthermore, the time-varying parameters of the azimuth angle of departure, the elevation angle of departure, the azimuth angle of arrival, and elevation angle of arrival are derived to properly describe the channel non-stationarity, which is caused by the motion of the UAV transmitter, cluster, and MR. The impacts of the movement properties of the cluster in both the azimuth and elevation planes are investigated on the channel characteristics, i.e., spatial cross-correlation functions, temporal autocorrelation functions, Doppler power spectrum density, and power delay profiles.
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a novel 3 d massive mimo channel model for vehicle to vehicle communication environments
IEEE Transactions on Communications, 2018Co-Authors: Hao Jiang, Zaichen Zhang, Jian DangAbstract:This paper presents 3-D vehicle massive multiple-input multiple-output (MIMO) antenna array model for vehicle-to-vehicle (V2V) communication environments. A spherical wavefront is assumed in the proposed model instead of the plane wavefront assumption used in the conventional MIMO channel model. Using the proposed V2V channel model, we first derive the closed-form expressions for the joint and marginal probability density functions of the angle of departure at the transmitter and angle of arrival at the Receiver in the azimuth and elevation planes. We additionally analyze the time and frequency cross-correlation functions for different propagation paths. In the proposed model, we derive the expression of the Doppler spectrum due to the relative motion between the Mobile transmitter and Mobile Receiver. The results show that the proposed 3-D channel model is in close agreement with previously reported results, thereby validating the generalization of the proposed model.
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Analysis of Geometric Multibounced Virtual Scattering Channel Model for Dense Urban Street Environments
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Hao Jiang, Zaiche Zhang, Jia DangAbstract:This paper presents a generalized visual scattering channel model for car-to-car (C2C) Mobile radio environments, in which an asymmetric directional antenna is deployed at the Mobile transmitter (MT). The signals received at the Mobile Receiver (MR) from the MT are assumed to experience multibounced propagation paths. More importantly, the proposed model first separates the multibounced propagation paths into odd- and even-numbered-bounced propagation conditions. General formulations of the marginal probability density functions (pdfs) of the angle of departure (AoD) at the transmitter and the angle of arrival (AoA) at the Receiver have been derived for the given two conditions, respectively. From the proposed model, we derive an expression for the Doppler frequency due to the relative motion between the MT and the MR, which broadens the research of the proposed visual street scattering channel model. The results show that the proposed model can fit those of the previous scattering channel models and the measurement results for dense urban street environments very well, which validate the generalization of the proposed virtual street channel model.
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Novel Statistical Wideband MIMO V2V Channel Modeling using Unitary Matrix Transformation Algorithm
IEEE Transactions on Wireless Communications, 2024Co-Authors: Hao Jiang, Zaichen Zhang, Baiping Xiong, Jiangfan Zhang, Hongming Zhang, Jian DangAbstract:For efficiently investigating the statistical properties of wideband multiple-input multiple-output (MIMO) channels for vehicle-to-vehicle (V2V) communication scenarios, we propose a novel computationally efficient solution to estimate the parameters of the proposed channel model for different propagation delays in this paper. To be specific, we first introduce a Unitary transformation method to estimate the propagation delay of the proposed channel model for the first tap in the preliminary stage before the Mobile transmitter (MT) and Mobile Receiver (MR) move. Then, we estimate the real-time angular parameters based on the estimated delay and moving time/directions/velocities of the MT and MR. Furthermore, we estimate the expressions of the real-time complex channel impulse responses (CIRs), which can be used to characterize the physical properties of the proposed channel model, by substituting the estimates of the time-varying AoD and AoA and model parameters into the complex CIRs. Numerical results of the channel characteristics fit the theory results very well, which validate that the proposed channel model is practical for characterizing the beyond fifth-generation (B5G) V2V communication systems.
Jian Dang - One of the best experts on this subject based on the ideXlab platform.
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a 3 d non stationary wideband geometry based channel model for mimo vehicle to vehicle communications in tunnel environments
IEEE Transactions on Vehicular Technology, 2019Co-Authors: Hao Jiang, Zaichen Zhang, Jian Dang, Guan GuiAbstract:In this paper, we present a three-dimensional (3-D) wideband geometry-based channel model for multiple-input and multiple-output vehicle-to-vehicle (V2V) communication in tunnel environments. We introduce a two-cylinder model to describe moving vehicles, as well as multiple confocal semi-ellipsoid models to depict internal surfaces of tunnel walls. The received signal is constructed as a sum of direct line-of-sight propagations, rays with single and double interactions. The movement between the Mobile transmitter and Mobile Receiver results in time-varying geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel characteristics are studied for different V2V scenarios. The numerical results demonstrate that the proposed 3-D non-wide-sense stationary (WSS) wideband channel model is practical for characterizing real V2V channels.
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a novel 3 d massive mimo channel model for vehicle to vehicle communication environments
IEEE Transactions on Communications, 2018Co-Authors: Hao Jiang, Zaichen Zhang, Jian DangAbstract:This paper presents 3-D vehicle massive multiple-input multiple-output (MIMO) antenna array model for vehicle-to-vehicle (V2V) communication environments. A spherical wavefront is assumed in the proposed model instead of the plane wavefront assumption used in the conventional MIMO channel model. Using the proposed V2V channel model, we first derive the closed-form expressions for the joint and marginal probability density functions of the angle of departure at the transmitter and angle of arrival at the Receiver in the azimuth and elevation planes. We additionally analyze the time and frequency cross-correlation functions for different propagation paths. In the proposed model, we derive the expression of the Doppler spectrum due to the relative motion between the Mobile transmitter and Mobile Receiver. The results show that the proposed 3-D channel model is in close agreement with previously reported results, thereby validating the generalization of the proposed model.
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Novel Statistical Wideband MIMO V2V Channel Modeling using Unitary Matrix Transformation Algorithm
IEEE Transactions on Wireless Communications, 2024Co-Authors: Hao Jiang, Zaichen Zhang, Baiping Xiong, Jiangfan Zhang, Hongming Zhang, Jian DangAbstract:For efficiently investigating the statistical properties of wideband multiple-input multiple-output (MIMO) channels for vehicle-to-vehicle (V2V) communication scenarios, we propose a novel computationally efficient solution to estimate the parameters of the proposed channel model for different propagation delays in this paper. To be specific, we first introduce a Unitary transformation method to estimate the propagation delay of the proposed channel model for the first tap in the preliminary stage before the Mobile transmitter (MT) and Mobile Receiver (MR) move. Then, we estimate the real-time angular parameters based on the estimated delay and moving time/directions/velocities of the MT and MR. Furthermore, we estimate the expressions of the real-time complex channel impulse responses (CIRs), which can be used to characterize the physical properties of the proposed channel model, by substituting the estimates of the time-varying AoD and AoA and model parameters into the complex CIRs. Numerical results of the channel characteristics fit the theory results very well, which validate that the proposed channel model is practical for characterizing the beyond fifth-generation (B5G) V2V communication systems.
Guan Gui - One of the best experts on this subject based on the ideXlab platform.
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a 3 d non stationary wideband geometry based channel model for mimo vehicle to vehicle communications in tunnel environments
IEEE Transactions on Vehicular Technology, 2019Co-Authors: Hao Jiang, Zaichen Zhang, Jian Dang, Guan GuiAbstract:In this paper, we present a three-dimensional (3-D) wideband geometry-based channel model for multiple-input and multiple-output vehicle-to-vehicle (V2V) communication in tunnel environments. We introduce a two-cylinder model to describe moving vehicles, as well as multiple confocal semi-ellipsoid models to depict internal surfaces of tunnel walls. The received signal is constructed as a sum of direct line-of-sight propagations, rays with single and double interactions. The movement between the Mobile transmitter and Mobile Receiver results in time-varying geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel characteristics are studied for different V2V scenarios. The numerical results demonstrate that the proposed 3-D non-wide-sense stationary (WSS) wideband channel model is practical for characterizing real V2V channels.
Zaichen Zhang - One of the best experts on this subject based on the ideXlab platform.
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a 3 d non stationary wideband geometry based channel model for mimo vehicle to vehicle communications in tunnel environments
IEEE Transactions on Vehicular Technology, 2019Co-Authors: Hao Jiang, Zaichen Zhang, Jian Dang, Guan GuiAbstract:In this paper, we present a three-dimensional (3-D) wideband geometry-based channel model for multiple-input and multiple-output vehicle-to-vehicle (V2V) communication in tunnel environments. We introduce a two-cylinder model to describe moving vehicles, as well as multiple confocal semi-ellipsoid models to depict internal surfaces of tunnel walls. The received signal is constructed as a sum of direct line-of-sight propagations, rays with single and double interactions. The movement between the Mobile transmitter and Mobile Receiver results in time-varying geometric statistics that make our channel model non-stationary. Using this channel model, the proposed channel characteristics are studied for different V2V scenarios. The numerical results demonstrate that the proposed 3-D non-wide-sense stationary (WSS) wideband channel model is practical for characterizing real V2V channels.
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a novel 3 d massive mimo channel model for vehicle to vehicle communication environments
IEEE Transactions on Communications, 2018Co-Authors: Hao Jiang, Zaichen Zhang, Jian DangAbstract:This paper presents 3-D vehicle massive multiple-input multiple-output (MIMO) antenna array model for vehicle-to-vehicle (V2V) communication environments. A spherical wavefront is assumed in the proposed model instead of the plane wavefront assumption used in the conventional MIMO channel model. Using the proposed V2V channel model, we first derive the closed-form expressions for the joint and marginal probability density functions of the angle of departure at the transmitter and angle of arrival at the Receiver in the azimuth and elevation planes. We additionally analyze the time and frequency cross-correlation functions for different propagation paths. In the proposed model, we derive the expression of the Doppler spectrum due to the relative motion between the Mobile transmitter and Mobile Receiver. The results show that the proposed 3-D channel model is in close agreement with previously reported results, thereby validating the generalization of the proposed model.
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Novel Statistical Wideband MIMO V2V Channel Modeling using Unitary Matrix Transformation Algorithm
IEEE Transactions on Wireless Communications, 2024Co-Authors: Hao Jiang, Zaichen Zhang, Baiping Xiong, Jiangfan Zhang, Hongming Zhang, Jian DangAbstract:For efficiently investigating the statistical properties of wideband multiple-input multiple-output (MIMO) channels for vehicle-to-vehicle (V2V) communication scenarios, we propose a novel computationally efficient solution to estimate the parameters of the proposed channel model for different propagation delays in this paper. To be specific, we first introduce a Unitary transformation method to estimate the propagation delay of the proposed channel model for the first tap in the preliminary stage before the Mobile transmitter (MT) and Mobile Receiver (MR) move. Then, we estimate the real-time angular parameters based on the estimated delay and moving time/directions/velocities of the MT and MR. Furthermore, we estimate the expressions of the real-time complex channel impulse responses (CIRs), which can be used to characterize the physical properties of the proposed channel model, by substituting the estimates of the time-varying AoD and AoA and model parameters into the complex CIRs. Numerical results of the channel characteristics fit the theory results very well, which validate that the proposed channel model is practical for characterizing the beyond fifth-generation (B5G) V2V communication systems.
Hussein Hijazi - One of the best experts on this subject based on the ideXlab platform.
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Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
IEEE Transactions on Communications, 2010Co-Authors: Hussein HijaziAbstract:This paper deals with the case of a high speed Mobile Receiver operating in an orthogonal-frequency-division-multiplexing (OFDM) communication system. Assuming the knowledge of delay-related information, we propose an iterative algorithm for joint multi-path Rayleigh channel complex gains estimation and data recovery in fast fading environments. Each complex gain time-variation, within one OFDM symbol, is approximated by a polynomial representation. Based on the Jakes process, an auto-regressive (AR) model of the polynomial coefficients dynamics is built, making it possible to employ the Kalman filter estimator for the polynomial coefficients. Hence, the channel matrix is easily computed, and the data symbol is estimated with free inter-sub-carrier-interference (ICI) thanks to the use of a QR-decomposition of the channel matrix. Our claims are supported by theoretical analysis and simulation results, which are obtained considering Jakes' channels with high Doppler spreads.
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polynomial estimation of time varying multipath gains with intercarrier interference mitigation in ofdm systems
IEEE Transactions on Vehicular Technology, 2009Co-Authors: Hussein HijaziAbstract:In this paper, we consider the case of a high-speed Mobile Receiver operating in an orthogonal frequency-division multiplexing (OFDM) communication system. We present an iterative algorithm for estimating multipath complex gains with intersubcarrier interference (ICI) mitigation (using comb-type pilots). Each complex gain variation is approximated by a polynomial representation within several OFDM symbols. Assuming knowledge of delay-related information, polynomial coefficients are obtained from time-averaged gain values, which are estimated using the least-square (LS) criterion. The channel matrix is easily computed, and the ICI is reduced by using successive interference suppression (SIS) during data symbol detection. The algorithm's performance is further enhanced by an iterative procedure, performing channel estimation and ICI mitigation at each iteration. Theoretical analysis and simulation results for a Rayleigh fading channel show that the proposed algorithm has low computational complexity and good performance in the presence of high normalized Doppler spread.
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polynomial estimation of time varying multipath gains with intercarrier interference mitigation in ofdm systems
IEEE Transactions on Vehicular Technology, 2009Co-Authors: Hussein Hijazi, Laurent RosAbstract:In this paper, we consider the case of a high-speed Mobile Receiver operating in an orthogonal frequency-division multiplexing (OFDM) communication system. We present an iterative algorithm for estimating multipath complex gains with intersubcarrier interference (ICI) mitigation (using comb-type pilots). Each complex gain variation is approximated by a polynomial representation within several OFDM symbols. Assuming knowledge of delay-related information, polynomial coefficients are obtained from time-averaged gain values, which are estimated using the least-square (LS) criterion. The channel matrix is easily computed, and the ICI is reduced by using successive interference suppression (SIS) during data symbol detection. The algorithm's performance is further enhanced by an iterative procedure, performing channel estimation and ICI mitigation at each iteration. Theoretical analysis and simulation results for a Rayleigh fading channel show that the proposed algorithm has low computational complexity and good performance in the presence of high normalized Doppler spread.
