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Theodore S Rappaport - One of the best experts on this subject based on the ideXlab platform.
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3 d statistical Channel Model for millimeter wave outdoor mobile broadband communications
arXiv: Information Theory, 2015Co-Authors: Mathew Khalil Samimi, Theodore S RappaportAbstract:This paper presents an omnidirectional spatial and temporal 3-dimensional statistical Channel Model for 28 GHz dense urban non-line of sight environments. The Channel Model is developed from 28 GHz ultrawideband propagation measurements obtained with a 400 megachips per second broadband sliding correlator Channel sounder and highly directional, steerable horn antennas in New York City. A 3GPP-like statistical Channel Model that is easy to implement in software or hardware is developed from measured power delay profiles and a synthesized method for providing absolute propagation delays recovered from 3-D ray-tracing, as well as measured angle of departure and angle of arrival power spectra. The extracted statistics are used to implement a MATLAB-based statistical simulator that generates 3-D millimeter-wave temporal and spatial Channel coefficients that reproduce realistic impulse responses of measured urban Channels. The methods and Model presented here can be used for millimeter-wave system-wide simulations, and air interface design and capacity analyses.
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VTC Fall - 3D mmWave Channel Model Proposal
2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 2014Co-Authors: Timothy A. Thomas, George R Maccartney, Huan Cong Nguyen, Theodore S RappaportAbstract:There is growing interest in using millimeter wave (mmWave) frequencies for future access communications based on the enormous amount of available spectrum. To characterize the mmWave Channel in urban areas, wideband propagation measurements at 73 GHz have recently been made in New York City. Using the measurements, a ray-tracing study has been conducted using databases for the same environments as the measurements, allowing a simple ray-tracer to predict measured statistics such as path loss and angles of arrival in the same physical environment of the measurements. In this paper a preliminary 3GPP-style 3D mmWave Channel Model is developed with special emphasis on using the ray tracer to determine elevation Model parameters. The Channel Model includes distance-dependent elevation Modeling which is critical for the expected 2D arrays which will be employed at mmWave.
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Ultra-wideband statistical Channel Model for non line of sight millimeter-wave urban Channels
2014 IEEE Global Communications Conference GLOBECOM 2014, 2014Co-Authors: Mathew Khalil Samimi, Theodore Ted S. Rappaport, Theodore S RappaportAbstract:This paper presents ultra-wideband statistical spatial and omnidirectional Channel Models for 28 GHz millimeter-wave cellular dense urban Non-Line of Sight (NLOS) environments, developed from wideband measurements in New York City that used synthesized timing from 3D ray-tracing. An accurate 3GPP-like Channel Model has been developed, where Model parameters are based on empirical distributions for time cluster and spatial (lobe) Channel parameters. A statistical simulator capable of reproducing the joint temporal and spatial measured Channel statistics is given here. A step-by-step procedure for generating Channel coefficients is shown to validate measured statistics from 28 GHz field measurements, thus validating our statistical Channel Model, for use in standard bodies and system-level simulations for millimeter-wave wideband communications.
Aylin Yener - One of the best experts on this subject based on the ideXlab platform.
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a new wiretap Channel Model and its strong secrecy capacity
IEEE Transactions on Information Theory, 2018Co-Authors: Mohamed Nafea, Aylin YenerAbstract:In this paper, a new wiretap Channel Model is proposed, where the legitimate transmitter and receiver communicate over a discrete memoryless Channel. The wiretapper has perfect access to a fixed-length subset of the transmitted code word symbols of her choosing. Additionally, she observes the remainder of the transmitted symbols through a discrete memoryless Channel. This new Model subsumes the classical wiretap Channel and wiretap Channel II with noisy main Channel as its special cases, and is termed as the generalized wiretap Channel for that reason. The strong secrecy capacity of the proposed Channel Model is identified. Achievability is established by solving a dual secret key agreement problem in the source Model, and converting the solution to the original Channel Model using probability distribution approximation arguments. In the dual problem, a source encoder and decoder, who observe random sequences independent and identically distributed according to the input and output distributions of the legitimate Channel in the original problem, communicate a confidential key over a public error-free Channel using a single forward transmission, in the presence of a compound wiretapping source who has perfect access to the public discussion. The security of the key is guaranteed for the exponentially many possibilities of the subset chosen at the wiretapper by deriving a lemma which provides a doubly-exponential convergence rate for the probability that, for a fixed choice of the subset, the key is uniform and independent from the public discussion and the wiretapping source’s observation. The converse is derived by using Sanov’s theorem to upper bound the secrecy capacity of the generalized wiretap Channel by the secrecy capacity when the tapped subset is randomly chosen by nature.
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a new wiretap Channel Model and its strong secrecy capacity
arXiv: Information Theory, 2017Co-Authors: Mohamed Nafea, Aylin YenerAbstract:In this paper, a new wiretap Channel Model is proposed, where the legitimate transmitter and receiver communicate over a discrete memoryless Channel. The wiretapper has perfect access to a fixed-length subset of the transmitted codeword symbols of her choosing. Additionally, she observes the remainder of the transmitted symbols through a discrete memoryless Channel. This new Model subsumes the classical wiretap Channel and wiretap Channel II with noisy main Channel as its special cases. The strong secrecy capacity of the proposed Channel Model is identified. Achievability is established by solving a dual secret key agreement problem in the source Model, and converting the solution to the original Channel Model using probability distribution approximation arguments. In the dual problem, a source encoder and decoder, who observe random sequences independent and identically distributed according to the input and output distributions of the legitimate Channel in the original problem, communicate a confidential key over a public error-free Channel using a single forward transmission, in the presence of a compound wiretapping source who has perfect access to the public discussion. The security of the key is guaranteed for the exponentially many possibilities of the subset chosen at wiretapper by deriving a lemma which provides a doubly-exponential convergence rate for the probability that, for a fixed choice of the subset, the key is uniform and independent from the public discussion and the wiretapping source's observation. The converse is derived by using Sanov's theorem to upper bound the secrecy capacity of the new wiretap Channel Model by the secrecy capacity when the tapped subset is randomly chosen by nature.
Mathew Khalil Samimi - One of the best experts on this subject based on the ideXlab platform.
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3 d millimeter wave statistical Channel Model for 5g wireless system design
IEEE Transactions on Microwave Theory and Techniques, 2016Co-Authors: Mathew Khalil Samimi, Theodore Ted S. RappaportAbstract:This paper presents a 3-D statistical Channel impulse response (IR) Model for urban line of sight (LOS) and non-LOS Channels developed from 28- and 73-GHz ultrawideband propagation measurements in New York City, useful in the design of 5G wireless systems that will operate in both the ultra-high frequency/microwave and millimeter-wave (mmWave) spectrum to increase Channel capacities. A 3GPP-like stochastic IR Channel Model is developed from measured power delay profiles, angle of departure, and angle of arrival power spectra. The extracted statistics are used to implement a Channel Model and simulator capable of generating 3-D mmWave temporal and spatial Channel parameters for arbitrary mmWave carrier frequency, signal bandwidth, and antenna beamwidth. The Model presented here faithfully reproduces realistic IRs of measured urban Channels, supporting air interface design of mmWave transceivers, filters, and multi-element antenna arrays.
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3 d statistical Channel Model for millimeter wave outdoor mobile broadband communications
arXiv: Information Theory, 2015Co-Authors: Mathew Khalil Samimi, Theodore S RappaportAbstract:This paper presents an omnidirectional spatial and temporal 3-dimensional statistical Channel Model for 28 GHz dense urban non-line of sight environments. The Channel Model is developed from 28 GHz ultrawideband propagation measurements obtained with a 400 megachips per second broadband sliding correlator Channel sounder and highly directional, steerable horn antennas in New York City. A 3GPP-like statistical Channel Model that is easy to implement in software or hardware is developed from measured power delay profiles and a synthesized method for providing absolute propagation delays recovered from 3-D ray-tracing, as well as measured angle of departure and angle of arrival power spectra. The extracted statistics are used to implement a MATLAB-based statistical simulator that generates 3-D millimeter-wave temporal and spatial Channel coefficients that reproduce realistic impulse responses of measured urban Channels. The methods and Model presented here can be used for millimeter-wave system-wide simulations, and air interface design and capacity analyses.
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Statistical Channel Model with Multi-Frequency and Arbitrary Antenna Beamwidth for Millimeter-Wave Outdoor Communications
IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM) Workshop, Dec. 6-10, 2015, 2015Co-Authors: Mathew Khalil Samimi, Theodore Ted S. RappaportAbstract:This paper presents a 3-dimensional millimeter-wave statistical Channel impulse response Model from 28 GHz and 73 GHz ultrawideband propagation measurements. An accurate 3GPP-like Channel Model that supports arbitrary carrier frequency, RF bandwidth, and antenna beamwidth (for both omnidirectional and arbitrary directional antennas), is provided. Time cluster and spatial lobe Model parameters are extracted from empirical distributions from field measurements. A step-by-step Modeling procedure for generating Channel coefficients is shown to agree with statistics from the field measurements, thus confirming that the statistical Channel Model faithfully recreates spatial and temporal Channel impulse responses for use in millimeter-wave 5G air interface designs.
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Ultra-wideband statistical Channel Model for non line of sight millimeter-wave urban Channels
2014 IEEE Global Communications Conference GLOBECOM 2014, 2014Co-Authors: Mathew Khalil Samimi, Theodore Ted S. Rappaport, Theodore S RappaportAbstract:This paper presents ultra-wideband statistical spatial and omnidirectional Channel Models for 28 GHz millimeter-wave cellular dense urban Non-Line of Sight (NLOS) environments, developed from wideband measurements in New York City that used synthesized timing from 3D ray-tracing. An accurate 3GPP-like Channel Model has been developed, where Model parameters are based on empirical distributions for time cluster and spatial (lobe) Channel parameters. A statistical simulator capable of reproducing the joint temporal and spatial measured Channel statistics is given here. A step-by-step procedure for generating Channel coefficients is shown to validate measured statistics from 28 GHz field measurements, thus validating our statistical Channel Model, for use in standard bodies and system-level simulations for millimeter-wave wideband communications.
Theodore Ted S. Rappaport - One of the best experts on this subject based on the ideXlab platform.
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3 d millimeter wave statistical Channel Model for 5g wireless system design
IEEE Transactions on Microwave Theory and Techniques, 2016Co-Authors: Mathew Khalil Samimi, Theodore Ted S. RappaportAbstract:This paper presents a 3-D statistical Channel impulse response (IR) Model for urban line of sight (LOS) and non-LOS Channels developed from 28- and 73-GHz ultrawideband propagation measurements in New York City, useful in the design of 5G wireless systems that will operate in both the ultra-high frequency/microwave and millimeter-wave (mmWave) spectrum to increase Channel capacities. A 3GPP-like stochastic IR Channel Model is developed from measured power delay profiles, angle of departure, and angle of arrival power spectra. The extracted statistics are used to implement a Channel Model and simulator capable of generating 3-D mmWave temporal and spatial Channel parameters for arbitrary mmWave carrier frequency, signal bandwidth, and antenna beamwidth. The Model presented here faithfully reproduces realistic IRs of measured urban Channels, supporting air interface design of mmWave transceivers, filters, and multi-element antenna arrays.
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Statistical Channel Model with Multi-Frequency and Arbitrary Antenna Beamwidth for Millimeter-Wave Outdoor Communications
IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM) Workshop, Dec. 6-10, 2015, 2015Co-Authors: Mathew Khalil Samimi, Theodore Ted S. RappaportAbstract:This paper presents a 3-dimensional millimeter-wave statistical Channel impulse response Model from 28 GHz and 73 GHz ultrawideband propagation measurements. An accurate 3GPP-like Channel Model that supports arbitrary carrier frequency, RF bandwidth, and antenna beamwidth (for both omnidirectional and arbitrary directional antennas), is provided. Time cluster and spatial lobe Model parameters are extracted from empirical distributions from field measurements. A step-by-step Modeling procedure for generating Channel coefficients is shown to agree with statistics from the field measurements, thus confirming that the statistical Channel Model faithfully recreates spatial and temporal Channel impulse responses for use in millimeter-wave 5G air interface designs.
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Ultra-wideband statistical Channel Model for non line of sight millimeter-wave urban Channels
2014 IEEE Global Communications Conference GLOBECOM 2014, 2014Co-Authors: Mathew Khalil Samimi, Theodore Ted S. Rappaport, Theodore S RappaportAbstract:This paper presents ultra-wideband statistical spatial and omnidirectional Channel Models for 28 GHz millimeter-wave cellular dense urban Non-Line of Sight (NLOS) environments, developed from wideband measurements in New York City that used synthesized timing from 3D ray-tracing. An accurate 3GPP-like Channel Model has been developed, where Model parameters are based on empirical distributions for time cluster and spatial (lobe) Channel parameters. A statistical simulator capable of reproducing the joint temporal and spatial measured Channel statistics is given here. A step-by-step procedure for generating Channel coefficients is shown to validate measured statistics from 28 GHz field measurements, thus validating our statistical Channel Model, for use in standard bodies and system-level simulations for millimeter-wave wideband communications.
Cheng-xiang Wang - One of the best experts on this subject based on the ideXlab platform.
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a general 3 d non stationary 5g wireless Channel Model
IEEE Transactions on Communications, 2018Co-Authors: Cheng-xiang Wang, Mohammad M. Alwakeel, El-hadi M. Aggoune, Xiao Hu YouAbstract:A novel unified framework of geometry-based stochastic Models for the fifth generation (5G) wireless communication systems is proposed in this paper. The proposed general 5G Channel Model aims at capturing small-scale fading Channel characteristics of key 5G communication scenarios, such as massive multiple-input multiple-output, high-speed train, vehicle-to-vehicle, and millimeter wave communications. It is a 3-D non-stationary Channel Model based on the WINNER II and Saleh-Valenzuela Channel Models considering array-time cluster evolution. Moreover, it can easily be reduced to various simplified Channel Models by properly adjusting Model parameters. Statistical properties of the proposed general 5G small-scale fading Channel Model are investigated to demonstrate its capability of capturing Channel characteristics of various scenarios, with excellent fitting to some corresponding Channel measurements.
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a non stationary imt advanced mimo Channel Model for high mobility wireless communication systems
IEEE Transactions on Wireless Communications, 2017Co-Authors: Amma Ghazal, Qi Yao, Cheng-xiang Wang, Yi Yua, Hongrui Zhou, Ya Zhang, Weiming DuaAbstract:With the recent developments of high-mobility wireless communication systems, e.g., high-speed train (HST) and vehicle-to-vehicle communication systems, the ability of conventional stationary Channel Models to mimic the underlying Channel characteristics has widely been challenged. Measurements have demonstrated that the current standardized Channel Models, like IMT-Advanced (IMT-A) and WINNER II Channel Models, offer stationary intervals that are noticeably longer than those in measured HST Channels. In this paper, we propose a non-stationary Channel Model with time-varying parameters, including the number of clusters, the powers, and the delays of the clusters, the angles of departure, and the angles of arrival. Based on the proposed non-stationary IMT-A Channel Model, important statistical properties, i.e., the local spatial cross-correlation function and local temporal autocorrelation function are derived and analyzed. Simulation results demonstrate that the statistical properties vary with time due to the non-stationarity of the proposed Channel Model. An excellent agreement is achieved between the stationary interval of the developed non-stationary IMT-A Channel Model and that of relevant HST measurement data, demonstrating the utility of the proposed Channel Model.
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A Non-Stationary Wideband Channel Model for Massive MIMO Communication Systems
IEEE Transactions on Wireless Communications, 2015Co-Authors: Cheng-xiang Wang, El-hadi M. Aggoune, Harald Haas, Mohammad M. AlwakeelAbstract:This paper proposes a novel non-stationary wideband multi-confocal ellipse two dimensional (2-D) Channel Model for massive multiple-input multiple-output (MIMO) communication systems. Spherical wavefront is assumed in the proposed Channel Model, instead of the plane wavefront assumption used in conventional MIMO Channel Models. In addition, the birth-death process is incorporated into the proposed Model to capture the dynamic properties of clusters on both the array and time axes. Statistical properties of the Channel Model such as the space-time-frequency correlation function and power imbalance on the antenna array are studied. The impact of the spherical wavefront assumption on the statistical properties of the Channel Model is investigated. Furthermore, numerical analysis shows that the proposed Channel Model is able to capture specific characteristics of massive MIMO Channel as observed in measurements.
