Modeling and characterization of urban radio channels for mobile communications

Results of this thesis contribute in modeling and characterization of radio channels for future mobile communications. The results are presented mainly in three parts: a) modeling of propagation mechanisms, b) methodology of developing a propagation model, c) characterization of urban radio channel. One of the main propagation physical phenomena that have an important role in diverting signals to non line of sight scenarios is the diffraction process. This thesis proposes diffraction coefficients that have better agreement with finite difference time domain solution and rigorous diffraction theory than the coefficient commonly used in propagation predictions for mobile communications. The importance of diffuse scattering has also been investigated and showed that this physical process may have a key role in urban propagation, with a particular impact on the delay spread and angular spread of the signal at the receiver. This thesis proposes wideband propagation models for main and perpendicular streets of urban street grids. The propagation models are ray-based and are given in explicit mathematical expressions. Each ray is characterized in terms of its amplitude, delay, and angle of arrival, angle of departure for vertical and horizontal polarizations. Each of these characteristics is given in a closed mathematical form. Having wideband propagation model in explicit expression makes its implementation easy and computation fast. Secondary source modeling approach for perpendicular streets has also been introduced in this thesis. The last part of the thesis deals with characterization of urban radio channels for extracting parameters that help in successful design of mobile communication systems. Knowledge of channel characteristics enables reaching optimum trade off between system performance and complexity. This thesis analyzes measurement results at 2 GHz to extract channel parameters in terms of Rake finger characteristics in order to get information that helps to optimize Rake receiver design for enhanced-IMT2000 systems. Finger life distance has also been investigated for both micro- and small cell scenarios. This part of the thesis also presents orthogonality factor of radio channel for W-CDMA downlink at different bandwidths. Characterization of dispersion metrics in delay and angular domains for microcellular channels is also presented at different base station antenna heights. A measure of (dis-) similarity between multipath components in terms of separation distance in delay and angular domains is introduced by the concept of distance function, which is a step toward in development of algorithm extraction and analysis multipath clustering. In summary, the significant contributions of the thesis are in three parts. 1) Development of new diffraction coefficients and corrections of limitations of existing one for accurate propagation predictions for mobile communications. 2) Development of wideband propagation models for urban street grid. The novelty of the model is the development in explicit mathematical expressions. The developed models can be used to study propagation problem in microcellular urban street grids. 3) Presenting channel parameters that will help in the design of future mobile communication systems (enhanced-IMT2000), like number of active fingers, finger life distance, and orthogonality factors for different bandwidths. In addition, a technique based on multipath separation distance is proposed as a step toward in development of algorithms for extraction and analysis of multipath clusters.reviewe

Experimental analysis of multidimensional radio channels

In this thesis new systems for radio channel measurements including space and polarization dimensions are developed for studying the radio propagation in wideband mobile communication systems. Multidimensional channel characterization is required for building channel models for new systems capable of exploiting the spatial nature of the channel. It also gives insight into the dominant propagation mechanisms in complex radio environments, where their prediction is difficult, such as urban and indoor environments. The measurement systems are based on the HUT/IDC wideband radio channel sounder, which was extended to enable real-time multiple output channel measurements at practical mobile speeds at frequencies up to 18 GHz. Two dual-polarized antenna arrays were constructed for 2 GHz, having suitable properties for characterizing the 3-D spatial radio channel at both ends of a mobile communication link. These implementations and their performance analysis are presented. The usefulness of the developed measurement systems is demonstrated by performing channel measurements at 2 GHz and analyzing the experimental data. Spatial channels of both the mobile and base stations are analyzed, as well as the double-directional channel that fully characterizes the propagation between two antennas. It is shown through sample results that spatial domain channel measurements can be used to gain knowledge on the dominant propagation mechanisms or verify the current assumptions. Also new statistical information about scatterer distribution at the mobile station in urban environment is presented based on extensive real-time measurements. The developed techniques and collected experimental data form a good basis for further comparison with existing deterministic propagation models and development of new spatial channel models.reviewe

On the Geometric Modeling of the Uplink Channel in a Cellular System

To meet the challenges of present and future wireless communications realistic propagation models that consider both spatial and temporal channel characteristics are used. However, the complexity of the complete characterization of the wireless medium has pointed out the importance of approximate but simple approaches. The geometrically based methods are typical examples of low–complexity but adequate solutions. Geometric modeling idealizes the aforementioned wireless propagation environment via a geometric abstraction of the spatial relationships among the transmitter, the receiver, and the scatterers. The paper tries to present an efficient way to simulate mobile channels using geometrical–based stochastic scattering models. In parallel with an overview of the most commonly used propagation models, the basic principles of the method as well the main assumptions made are presented. The study is focused on three well–known proposals used for the description of the Angle–of –Arrival and Time–of–Arrival statistics of the incoming multipaths in the uplink of a cellular communication system. In order to demonstrate the characteristics of these models illustrative examples are given. The physical mechanism and motivations behind them are also included providing us with a better understanding of the physical insight of the propagation medium

UHF propagation channel characterization for tunnel microcellular and personal communications.

by Yue Ping Zhang.Publication date from spine.Thesis (Ph.D.)--Chinese University of Hong Kong, 1995.Includes bibliographical references (leaves 194-200).DEDICATIONACKNOWLEDGMENTSChapterChapter 1. --- Introduction --- p.1Chapter 1.1 --- Brief Description of Tunnels --- p.1Chapter 1.2 --- Review of Tunnel Imperfect Waveguide Models --- p.2Chapter 1.3 --- Review of Tunnel Geometrical Optical Model --- p.4Chapter 1.4 --- Review of Tunnel Propagation Experimental Results --- p.6Chapter 1.5 --- Review of Existing Tunnel UHF Radio Communication Systems --- p.13Chapter 1.6 --- Statement of Problems to be Studied --- p.15Chapter 1.7 --- Organization --- p.15Chapter 2 --- Propagation in Empty Tunnels --- p.18Chapter 2.1 --- Introduction --- p.18Chapter 2.2 --- Propagation in Empty Tunnels --- p.18Chapter 2.2.1 --- The Imperfect Empty Straight Rectangular Waveguide Model --- p.19Chapter 2.2.2 --- The Hertz Vectors for Empty Straight Tunnels --- p.20Chapter 2.2.3 --- The Propagation Modal Equations for Empty Straight Tunnels --- p.23Chapter 2.2.4 --- The Propagation Characteristics of Empty Straight Tunnels --- p.26Chapter 2.2.5 --- Propagation Numerical Results in Empty Straight Tunnels --- p.30Chapter 2.3 --- Propagation in Empty Curved Tunnels --- p.36Chapter 2.3.1 --- The Imperfect Empty Curved Rectangular Waveguide Model --- p.37Chapter 2.3.2 --- The Hertz Vectors for Empty Curved Tunnels --- p.39Chapter 2.3.3 --- The Propagation Modal Equations for Empty Curved Tunnels --- p.41Chapter 2.3.4 --- The Propagation Characteristics of Empty Curved Tunnels --- p.43Chapter 2.2.5 --- Propagation Numerical Results in Empty Curved Tunnels --- p.47Chapter 2.4 --- Summary --- p.50Chapter 3 --- Propagation in Occupied Tunnels --- p.53Chapter 3.1 --- Introduction --- p.53Chapter 3.2 --- Propagation in Road Tunnels --- p.53Chapter 3.2.1 --- The Imperfect Partially Filled Rectangular Waveguide Model --- p.54Chapter 3.2.2 --- The Scalar Potentials for Road tunnels --- p.56Chapter 3.2.3 --- The Propagation Modal Equations for Road Tunnels --- p.59Chapter 3.2.4 --- Propagation Numerical Results in Road Tunnels --- p.61Chapter 3.3 --- Propagation in Railway Tunnels --- p.64Chapter 3.3.1 --- The Imperfect Periodically Loaded Rectangular Waveguide Model --- p.65Chapter 3.3.2 --- The Surface Impedance Approximation --- p.66Chapter 3.3.2.1 --- The Surface Impedance of a Semi-infinite Lossy Dielectric Medium --- p.66Chapter 3.3.2.2 --- The Surface Impedance of a Thin Lossy Dielectric Slab --- p.67Chapter 3.3.2.3 --- The Surface Impedance of a Three-layered Half Space --- p.69Chapter 3.3.2.4 --- The Surface Impedance of the Sidewall of a Train in a Tunnel --- p.70Chapter 3.3.3 --- The Hertz Vectors for Railway Tunnels --- p.71Chapter 3.3.4 --- The Propagation Modal Equations for Railway Tunnels --- p.73Chapter 3.3.5 --- The Propagation Characteristics of Railway Tunnels --- p.76Chapter 3.3.6 --- Propagation Numerical Results in Railway Tunnels --- p.78Chapter 3.4 --- Propagation in Mine Tunnels --- p.84Chapter 3.4.1 --- The Imperfect periodically Loaded Rectangular Waveguide Model --- p.85Chapter 3.4.2 --- The Hertz Vectors for Mine Tunnels --- p.86Chapter 3.4.3 --- The Propagation modal Equations for Mine Tunnels --- p.88Chapter 3.4.4 --- The Propagation Characteristics of Mine Tunnels --- p.95Chapter 3.4.5 --- Propagation Numerical Results in Mine Tunnels --- p.96Chapter 3.5 --- Summary --- p.97Chapter 4 --- Statistical and Deterministic Models of Tunnel UHF Propagation --- p.100Chapter 4.1 --- Introduction --- p.100Chapter 4.2 --- Statistical Model of Tunnel UHF Propagation --- p.100Chapter 4.2.1 --- Experiments --- p.101Chapter 4.2.1.1 --- Experimental Set-ups --- p.102Chapter 4.2.1.2 --- Experimental Tunnels --- p.104Chapter 4.2.1.3 --- Experimental Techniques --- p.106Chapter 4.2.2 --- Statistical Parameters --- p.109Chapter 4.2.2.1 --- Parameters to Characterize Narrow Band Radio Propagation Channels --- p.109Chapter 4.2.2.2 --- Parameters to Characterize Wide Band Radio Propagation Channels --- p.111Chapter 4.2.3 --- Propagation Statistical Results and Discussion --- p.112Chapter 4.2.3.1 --- Tunnel Narrow Band Radio Propagation Characteristics --- p.112Chapter 4.2.3.1.1 --- Power Distance Law --- p.114Chapter 4.2.3.1.2 --- The Slow Fading Statistics --- p.120Chapter 4.2.3.1.3 --- The Fast Fading Statistics --- p.122Chapter 4.2.3.2 --- Tunnel Wide Band Radio Propagation Characteristics --- p.125Chapter 4.2.3.2.1 --- RMS Delay Spread --- p.126Chapter 4.2.3.2.2 --- RMS Delay Spread Statistics --- p.130Chapter 4.3 --- Deterministic Model of Tunnel UHF Propagation --- p.132Chapter 4.3.1 --- The Tunnel Geometrical Optical Propagation Model --- p.134Chapter 4.3.2 --- The Tunnel Impedance Uniform Diffracted Propagation Model --- p.141Chapter 4.3.2.1 --- Determination of Diffraction Points --- p.146Chapter 4.3.2.2 --- Diffraction Coefficients for Impedance Wedges --- p.147Chapter 4.3.3 --- Comparison with Measurements --- p.151Chapter 4.3.3.1 --- Narrow Band Comparison of Simulated and Measured Results --- p.151Chapter 4.3.3.1.1 --- Narrow Band Propagation in Empty Straight Tunnels --- p.151Chapter 4.3.3.1.2 --- Narrow Band Propagation in Curved or Obstructed Tunnels --- p.154Chapter 4.3.3.2 --- Wide Band Comparison of Simulated and Measured Results --- p.158Chapter 4.3.3.2.1 --- Wide Band Propagation in Empty Straight Tunnels --- p.159Chapter 4.3.3.2.2 --- Wide Band Propagation in an Obstructed Tunnel --- p.163Chapter 4.4 --- Summary --- p.165Chapter 5 --- Propagation in Tunnel and Open Air Transition Region --- p.170Chapter 5.1 --- Introduction --- p.170Chapter 5.2 --- Radiation of Radio Waves from a Rectangular Tunnel into Open Air --- p.171Chapter 5.2.1 --- Radiation Formulation Using Equivalent Current Source Concept --- p.171Chapter 5.2.2 --- Radiation Numerical Results --- p.175Chapter 5.3 --- Propagation Characteristics of UHF Radio Waves in Cuttings --- p.177Chapter 5.3.1 --- The Attenuation Constant due to the Absorption --- p.178Chapter 5.3.2 --- The Attenuation Constant due to the Roughness of the Sidewalls --- p.182Chapter 5.3.3 --- The Attenuation Constant due to the tilts of the Sidewalls --- p.183Chapter 5.3.4 --- Propagation Numerical Results in Cuttings --- p.184Chapter 5.4 --- Summary --- p.187Chapter 6 --- Conclusion and Recommendation for Future Work --- p.189APPENDIX --- p.193The Approximate Solution of a Transcendental Equation --- p.193REFERENCES --- p.19

A Site-Specific Indoor Wireless Propagation Model

In this thesis, we explore the fundamental concepts behind the emerging field of site-specific propagation modeling for wireless communication systems. The first three chapters of background material discuss, respectively, the motivation for this study, the context of the study, and signal behavior and modeling in the predominant wireless propagation environments. A brief survey of existing ray-tracing based site-specific propagation models follows this discussion, leading naturally to the work of new model development undertaken in our thesis project. Following the detailed description of our generalized wireless channel modeling, various interference cases incorporating with this model are thoroughly discussed and results presented at the end of this thesis

A study on propagation characteristics and interference of spread spectrum code division multiple access cellular radio systems.

by Kwok Ming Shan.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical references (leaves 102-[109]).Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Cellular Radio Systems --- p.3Chapter 1.2 --- Code Division Multiple Access (CDMA) --- p.7Chapter 1.2.1 --- Direct Sequence CDMA (DS-CDMA) --- p.8Chapter 1.2.2 --- Frequency Hopping CDMA (FH-GDMA) --- p.11Chapter 1.2.3 --- Time Hopping CDMA (TH-CDMA) --- p.12Chapter 1.3 --- Propagation Characteristics --- p.12Chapter 1.3.1 --- Signal Strength Prediction - Path Loss --- p.13Chapter 1.3.2 --- Signal Variability --- p.17Chapter 1.3.3 --- Delay Spread --- p.23Chapter 1.3.4 --- Coherence Bandwidth --- p.23Chapter 1.4 --- Power Control in Cellular Radio Systems --- p.24Chapter 1.4.1 --- Centralized Power Control --- p.24Chapter 1.4.2 --- Distributed Power Control --- p.25Chapter 1.4.3 --- CDMA Power Control --- p.29Chapter 2 --- Contributions --- p.39Chapter 3 --- ACI Analysis of the Reverse-Link --- p.41Chapter 3.1 --- Adjacent Cell Interference --- p.42Chapter 3.2 --- Adjacent Cell Interference Analysis --- p.43Chapter 3.2.1 --- Interference Analysis of Hexagonal Cells --- p.43Chapter 3.2.2 --- Interference Analysis of Circular Cell Structure --- p.47Chapter 3.3 --- Closed-form of Adjacent Cell Interference --- p.51Chapter 3.4 --- Generalization to Irregular Cell Structure --- p.54Chapter 3.5 --- Conclusions --- p.57Chapter 4 --- ACI Analysis of Reverse-Link with Log-normal Shadowing --- p.59Chapter 4.1 --- Interference with Shadowing --- p.59Chapter 4.2 --- Conclusions --- p.66Chapter 5 --- ACI Analysis of Microcell --- p.68Chapter 5.1 --- Propagation Characteristics of Microcellular Radio Systems --- p.69Chapter 5.2 --- CDMA Microcellular Radio Systems --- p.70Chapter 5.3 --- Results and Discussions --- p.74Chapter 5.4 --- Conclusions --- p.76Chapter 6 --- Outage Probability Analysis of Imperfect Power Control --- p.77Chapter 6.1 --- Fast Fading of Signal --- p.78Chapter 6.2 --- Imperfect Power Control in CDMA --- p.81Chapter 6.3 --- Conclusions --- p.85Chapter 7 --- Conclusions --- p.88Chapter 8 --- Examples of CDMA Cellular Radio Systems --- p.91Chapter 8.1 --- Qualcomm CDMA system --- p.91Chapter 8.1.1 --- Forward-link --- p.92Chapter 8.1.2 --- Reverse-link --- p.93Chapter 8.1.3 --- Reverse-Link Open-Loop Power Control --- p.94Chapter 8.1.4 --- Reverse-Link Closed-Loop Power Control --- p.95Chapter 8.1.5 --- Forward-Link Power Control --- p.96Chapter 8.2 --- Interdigital Broadband CDMA System --- p.96Appendix --- p.97Chapter A --- Derivation of the PDF of the fast fading signal power --- p.97Chapter B --- Derivation of the Mean-to-standard deviation ratio --- p.98Chapter C --- Acronyms --- p.100Bibliography --- p.10

Evaluation of mmWave 5G Performance by Advanced Ray Tracing Techniques

Technological progress leads to the emergence of new concepts, which can change people’s everyday lives and accelerate the transformation of many industries. Among the more recent of these revolutionary concepts are big data analysis, artificial intelligence, augmented/virtual reality, quantum computing, and autonomous vehicles. However, this list would be incomplete without referring to fifth-generation (5G) technology, which is driven by several trends. First, the exponential growth of the worldwide monthly smartphone traffic up to 50 petabytes during the next three years will require the development of mobile networks supporting high datasharing capabilities, excellent spectral efficiency, and gigabits per second of throughput. Another trend is Industry 4.0/5.0 (also called the smart factory), which refers to advanced levels of automation requiring millions of distributed sensors/devices connected into a scalable and smart network. Finally, the automation of critical industrial processes, as well as communication between autonomous vehicles, will require 99.999% reliability and under 1 ms latency as they also become the drivers for the emergence of 5G. Besides traditional sub-6 GHz microwave spectrum, the 5G communication encompasses the novel millimeter-wave bands to mitigate spectrum scarcity and provide large bandwidth of up to several GHz. However, there are challenges to be overcome with the millimeter-wave band. The band suffers from higher pathloss, more atmospheric attenuation, and higher diffraction losses than microwave signals. Because the millimeter-wave band has such a small wavelength (< 1 cm), it is now feasible to implement compact antenna arrays. This enables the use of beamforming and multi-input and multi-output techniques. In this thesis, advanced ray tracing methodology is developed and utilized to simulate the propagation mechanisms and their effect on the system-level metrics. The main novelty of this work is in the introduction of typical millimeter-wave 5G technologies into channel modelling and propagation specifics into the system-level simulation, as well as the adaptation of the ray tracing methods to support extensive simulations with multiple antennas