502 research outputs found

    Cognitive Radio Connectivity for Railway Transportation Networks

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    Reliable wireless networks for high speed trains require a significant amount of data communications for enabling safety features such as train collision avoidance and railway management. Cognitive radio integrates heterogeneous wireless networks that will be deployed in order to achieve intelligent communications in future railway systems. One of the primary technical challenges in achieving reliable communications for railways is the handling of high mobility environments involving trains, which includes significant Doppler shifts in the transmission as well as severe fading scenarios that makes it difficult to estimate wireless spectrum utilization. This thesis has two primary contributions: (1) The creation of a Heterogeneous Cooperative Spectrum Sensing (CSS) prototype system, and (2) the derivation of a Long Term Evolution for Railways (LTE-R) system performance analysis. The Heterogeneous CSS prototype system was implemented using Software-Defined Radios (SDRs) possessing different radio configurations. Both soft and hard-data fusion schemes were used in order to compare the signal source detection performance in real-time fading scenarios. For future smart railways, one proposed solution for enabling greater connectivity is to access underutilized spectrum as a secondary user via the dynamic spectrum access (DSA) paradigm. Since it will be challenging to obtain an accurate estimate of incumbent users via a single-sensor system within a real-world fading environment, the proposed cooperative spectrum sensing approach is employed instead since it can mitigate the effects of multipath and shadowing by utilizing the spatial and temporal diversity of a multiple radio network. Regarding the LTE-R contribution of this thesis, the performance analysis of high speed trains (HSTs) in tunnel environments would provide valuable insights with respect to the smart railway systems operating in high mobility scenarios in drastically impaired channels

    Channel Measurements and Models for High-Speed Train Communication Systems: A Survey

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    The recent development of high-speed trains (HSTs) as an emerging high mobility transportation system, and the growing demands of broadband services for HST users, introduce new challenges to wireless communication systems for HSTs. Accurate and efficient channel models considering both large-scale and non-stationary small-scale fading characteristics are crucial for the design, performance evaluation, and parameter optimization of HST wireless communication systems. However, the characteristics of the underlying HST channels have not yet been sufficiently investigated. This paper first provides a comprehensive review of the measurement campaigns conducted in different HST scenarios and then addresses the recent advances in HST channel models. Finally, key challenges of HST channel measurements and models are discussed and several research directions in this area are outlined

    Propagation channel characterisation and modelling for high-speed train communication systems

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    High-mobility scenarios, e.g., High-Speed Train (HST) scenarios, are expected to be typical scenarios for the Fifth Generation (5G) communication systems. With the rapid development of HSTs, an increasing volume of wireless communication data is required to be transferred to train passengers. HST users demand high network capacity and reliable communication services regardless of their locations or speeds, which are beyond the capability of current HST communication systems. The features of HST channels are significantly different from those of low-mobility cellular communication systems. For a proper design and evaluation of future HST wireless communication systems, we need accurate channel models that can mimic the underlying channel characteristics, especially the non-stationarity for different HST scenarios. Inspired by the lack of such accurate HST channel models in the literature, this PhD project is devoted to the modelling and simulation of non-stationary Multiple-Input Multiple-Output (MIMO) channels for HST communication systems. In this thesis, we first give a comprehensive review of the measurement campaigns conducted in different HST scenarios and address the recent advances in HST channel models. We also highlight the key challenges of HST channel measurements and models. Then, we study the characterisation of non-stationary channels and propose a theoretical framework for deriving the statistical properties of these channels. HST wireless communication systems encounter different channel conditions due to the difference of surrounding geographical environments or scenarios. HST channel models in the literature have either considered large-scale parameters only and/or neglected the non-stationarity of HST channels and/or only consider one of the HST scenarios. Therefore, we propose a novel generic non-stationary Geometry-Based Stochastic Model (GBSM) for wideband MIMO HST channels in different HST scenarios, i.e., open space, viaduct, and cutting. The corresponding simulation model is then developed with angular parameters calculated by the Modified Method of Equal Area (MMEA). The system functions and statistical properties of the proposed channel models are thoroughly studied. The proposed generic non-stationary HST channel models are verified by measurements in terms of stationary time for the open space scenario and the Autocorrelation Function (ACF), Level Crossing Rate (LCR), and stationary distance for the viaduct and cutting scenarios. Transmission techniques which are capable of utilising Three-Dimensional (3D) spatial dimensions are significant for the development of future communication systems. Consequently, 3D MIMO channel models are critical for the development and evaluation of these techniques. Therefore, we propose a novel 3D generic non-stationary GBSM for wideband MIMO HST channels in the most common HST scenarios. The corresponding simulation model is then developed with angular parameters calculated by the Method of Equal Volume (MEV). The proposed models considers several timevarying channel parameters, such as the angular parameters, the number of taps, the Ricean K-factor, and the actual distance between the Transmitter (Tx) and Receiver (Rx). Based on the proposed generic models, we investigate the impact of the elevation angle on some of the channel statistical properties. The proposed 3D generic models are verified using relevant measurement data. Most standard channel models in the literature, like Universal Mobile Telecommunications System (UMTS), COST 2100, and IMT-2000 failed to introduce any of the HST scenarios. Even for the standard channel models which introduced a HST scenario, like IMT-Advanced (IMT-A) and WINNER II channel models, they offer stationary intervals that are noticeably longer than those in measured HST channels. This has inspired us to propose a non-stationary IMT-A channel model with time-varying parameters including the number of clusters, powers, delays of the clusters, and angular parameters. Based on the proposed non-stationary IMT-A channel model, important statistical properties, i.e., the time-variant spatial Cross-correlation Function (CCF) and time-variant ACF, are derived and analysed. Simulation results demonstrate that the stationary interval of the developed non-stationary IMT-A channel model can match that of relevant HST measurement data. In summary, the proposed theoretical and simulation models are indispensable for the design, testing, and performance evaluation of 5G high-mobility wireless communication systems in general and HST ones in specific

    Towards optical beamforming systems on-chip for millimeter wave wireless communications

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    Towards optical beamforming systems on-chip for millimeter wave wireless communications

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    Wireless Channel Model and LDM-Based Transmission with Unequal Error Protection for Inside Train Communications

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    Although the deployment of wireless systems is widespread, there are still sectors where they are not used due to their lack of reliability in comparison to wired systems. Sectors like industry or vehicle communications consider their environment hostile because the wireless signals suffer a lot of interferences. One of such environments is the railway sector, where wiring removal will allow more flexibility for both control and monitoring systems. This thesis analyzes wireless communications inside train cars, aiming at modelling their behavior and at proposing techniques to increase the reliability of the critical signals among train systems, wich can coexist with other lower priority systems. After proposing a novel model of an inside train wireless channel, a transmission system based on Layered Division Multiplexing (LDM) has been proposed which theoretically promises higher capacities than traditional TDM or FDM. This capacity gain is used to provide higher reliability to critical data using Unequal Error Protection (UEP) while maintaining the same bit rate as equivalent TDM or FDM based systems. In the final part of the thesis, simulation results of the proposed LDM system are provided, combined with Alamouti space time coding and different coding rates. Multiantenna extensions of the proposed LDM schemes are also simulated, providing BER and throughput results. These results will be used to shed light about how to reduce BER of an inside train wireless communication system.Aunque el despliegue de los sistemas inalámbricos está muy extendido, aun hay sectores donde no se utiliza por la poca fiabilidad que proporcionan comparado con los sistemas cableados. Sectores como la industria o las comunicaciones vehiculares consideran el entorno donde trabajan como entorno hostil, debido a que las señales inalámbricas sufren muchas interferencias. Uno de estos entornos es el de las comunicaciones en ferrocarril donde la eliminación de cables permitiría mayor flexibilidad entre los sistemas de control y monitorización. En esta tesis se analiza el canal de comunicación inalámbrico dentro de los trenes, con el objetivo de modelar su comportamiento y proponer técnicas que permitan aumentar la fiabilidad de la información de tipo crítico transmitida entre los sistemas del tren, repercutiendo lo menos posible en otros sistemas de menor prioridad. Tras proponer el modelo de canal inalámbrico dentro del tren, se ha propuesto un sistema de transmisión basado en Layered Division Multiplexing (LDM) que analizándolo teóricamente promete mayores capacidades que los tradicionales TDM o FDM. Esta capacidad se utilizará para obtener mayor redundancia de los datos críticos usando Unequal Error Protection (UEP) manteniendo la misma tasa de transferencia bits que los sistemas basados en TDM/FDM. En la parte final de la tesis, se obtienen resultados de las simulaciones realizadas con el sistema LDM propuesto, combinada con codificación espacio temporal como Alamouti y diferentes ratios de codificación. También se han simulado configuraciones multiantena obteniendo resultados de BER y throughput. Estos resultados servirán para arrojar luz sobre cómo reducir el BER en las comunicaciones inalámbricas dentro de los trenes.Haririk gabeko sistemak oso hedatuak dauden arren oraindik erabiltzen ez dituen sektoreak badaude ematen duten fidagarritasuna txikia delako kableatutako sistemekin alderatuz. Industria bezalako sektoreek edo ibilgailuetako komunikazioek lan egiten duten ingurua oso zaratatsua izaten da eta seinaleek interferentzia asko jasaten dituzte. Tesi honetan tren barruko haririk gabeko komunikazio kanala aztertzen da, bere portaera aztertu eta modelatzeko asmotan. Jakintza honekin zein teknika izan daitekeen erabilgarriak aztertuko da datuen fidagarritasuna handitzeko helburuarekin, lehentasun gutxiago duten sistemetan eragin txikiena izanik. Modeloa atera ondoren proposatu den transmisio sistema Layered Division Multiplexing (LDM) izan da, non azterketa teorikoek TDM edo FDM sistemek baino kapazitate gehiago dutela frogatzen dute. Kapazitate hau sistemaren datu kritikoei erredundantzia gehiago emateko erabiliko da Unequal Error Protection (UEP) erabiliz, TDM/FDM sistemetan bidaltzen den bit tasa kopurua mantenduz. Tesiaren azken partean, proposatutako LDM sistemaren simulazio emaitzak ematen dira, Alamouti espazio denbora kodifikazioarekin konbinatuak eta kodigo ratio desberdinekin. Antena anitzezko konfigurazioak ere simulatu dira BER eta throughput emaitzak lortuz. Emaitza hauek haririk gabeko tren barruko komunikazioetan BER-a nola gutxitu daitekeen jakiten lagunduko digute

    Ultra-reliable communications for industrial internet of things : design considerations and channel modeling

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    Factory automation is the next industrial revolution. 5G and IIoT are enabling smart factories to seamlessly create a network of wirelessly connected machines and people that can instantaneously collect, analyze, and distribute real-time data. A 5G-enabled communication network for IIOT will boost overall efficiency, launching a new era of market opportunities and economic growth. This article presents the 5G-enabled system architecture and ultra-reliable use cases in smart factories associated with automated warehouses. In particular, for URLLC-based cases, key techniques and their corresponding solutions, including diversity for high reliability, short packets for low latency, and on-the-fly channel estimation and decoding for fast receiver processing, are discussed. Then the channel modeling requirements concerning technologies and systems are also identified in industrial scenarios. Ray tracing channel simulation can meet such requirements well, and based on that, the channel characteristic analysis is presented at 28 and 60 GHz for licensed and unlicensed band frequencies to exploit the available degrees of freedom in the channels. © 2012 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record*

    Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

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    [Abstract] Nowadays, the railway industry is in a position where it is able to exploit the opportunities created by the IIoT (Industrial Internet of Things) and enabling communication technologies under the paradigm of Internet of Trains. This review details the evolution of communication technologies since the deployment of GSM-R, describing the main alternatives and how railway requirements, specifications and recommendations have evolved over time. The advantages of the latest generation of broadband communication systems (e.g., LTE, 5G, IEEE 802.11ad) and the emergence of Wireless Sensor Networks (WSNs) for the railway environment are also explained together with the strategic roadmap to ensure a smooth migration from GSM-R. Furthermore, this survey focuses on providing a holistic approach, identifying scenarios and architectures where railways could leverage better commercial IIoT capabilities. After reviewing the main industrial developments, short and medium-term IIoT-enabled services for smart railways are evaluated. Then, it is analyzed the latest research on predictive maintenance, smart infrastructure, advanced monitoring of assets, video surveillance systems, railway operations, Passenger and Freight Information Systems (PIS/FIS), train control systems, safety assurance, signaling systems, cyber security and energy efficiency. Overall, it can be stated that the aim of this article is to provide a detailed examination of the state-of-the-art of different technologies and services that will revolutionize the railway industry and will allow for confronting today challenges.Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; ED431C 2016-045Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; ED341D R2016/012Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; ED431G/01Agencia Estatal de Investigación (España); TEC2013-47141-C4-1-RAgencia Estatal de Investigación (España); TEC2015-69648-REDCAgencia Estatal de Investigación (España); TEC2016-75067-C4-1-

    Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis

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    Terahertz (0.1-10 THz) communications are envisioned as a key technology for sixth generation (6G) wireless systems. The study of underlying THz wireless propagation channels provides the foundations for the development of reliable THz communication systems and their applications. This article provides a comprehensive overview of the study of THz wireless channels. First, the three most popular THz channel measurement methodologies, namely, frequency-domain channel measurement based on a vector network analyzer (VNA), time-domain channel measurement based on sliding correlation, and time-domain channel measurement based on THz pulses from time-domain spectroscopy (THz-TDS), are introduced and compared. Current channel measurement systems and measurement campaigns are reviewed. Then, existing channel modeling methodologies are categorized into deterministic, stochastic, and hybrid approaches. State-of-the-art THz channel models are analyzed, and the channel simulators that are based on them are introduced. Next, an in-depth review of channel characteristics in the THz band is presented. Finally, open problems and future research directions for research studies on THz wireless channels for 6G are elaborated.Comment: to appear in IEEE Communications Surveys and Tutorial
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