690 research outputs found

    System design and validation of multi-band OFDM wireless communications with multiple antennas

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    Experimental analysis and proof-of-concept of distributed mechanisms for local area wireless networks

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    Performance modeling and prototyping of directional radio link for moving machines

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    Usage of smart devices and the amount of mobile data traffic have grown exponentially in the past decade. Also, novel applications have specific bandwidth and latency requirements. All of these combined are calling for a new networking technology. Upcoming 5G wireless networks aim to answer the current and potential future needs of wireless technology. In the context of the implementation and development challenges, we can highlight two important use cases of 5G: Enhanced Mobile Broadband, which promises high data rate with low latency during rush hour, and Machine-Type-Communication, where wireless devices can communicate with each other in a fully automated manner with no need for human interaction. Concerning the first use case, this work has focused on evaluating the core performance metrics, including throughput and Signal-to-Interference plus Noise Ratio (SINR), of suggested radio technology for 5G (mmWave) in a dense urban deployment. In this work, additional Unmanned Aerial Vehicle (UAV)-assisted Access Points (APs) are considered to provide extra coverage. For this reason, a number of appropriate scenarios were simulated and evaluated using NS-3 platform. Regarding the second use case, this work has focused on enabling high-speed long-range communication specifically used in autonomous robotic off-shore operations and modeling the performance of such systems in terms of throughput and Received Signal Strength (RSS). For this purpose, a system of directional radio links utilizing IEEE 802.11 Wi-Fi and 3GPP LTE was designed, installed and tested on an autonomous boat to enable a high-speed bi-directional connection. This thesis describes the details of these research directions along with obtained results

    Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems

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    The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine Interfaces (HMI). This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches. The reader is invited to substantiate the content of this book with the deliverables published during the DESERVE project. Technical topics discussed in this book include:Modern ADAS development platforms;Design space exploration;Driving modelling;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation system

    NASA Tech Briefs, July 1999

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    Topics: Test and Measurement; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Bio-Medical; Books and Reports; Semiconductors/ICs

    Cross-Layer Optimization for Power-Efficient and Robust Digital Circuits and Systems

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    With the increasing digital services demand, performance and power-efficiency become vital requirements for digital circuits and systems. However, the enabling CMOS technology scaling has been facing significant challenges of device uncertainties, such as process, voltage, and temperature variations. To ensure system reliability, worst-case corner assumptions are usually made in each design level. However, the over-pessimistic worst-case margin leads to unnecessary power waste and performance loss as high as 2.2x. Since optimizations are traditionally confined to each specific level, those safe margins can hardly be properly exploited. To tackle the challenge, it is therefore advised in this Ph.D. thesis to perform a cross-layer optimization for digital signal processing circuits and systems, to achieve a global balance of power consumption and output quality. To conclude, the traditional over-pessimistic worst-case approach leads to huge power waste. In contrast, the adaptive voltage scaling approach saves power (25% for the CORDIC application) by providing a just-needed supply voltage. The power saving is maximized (46% for CORDIC) when a more aggressive voltage over-scaling scheme is applied. These sparsely occurred circuit errors produced by aggressive voltage over-scaling are mitigated by higher level error resilient designs. For functions like FFT and CORDIC, smart error mitigation schemes were proposed to enhance reliability (soft-errors and timing-errors, respectively). Applications like Massive MIMO systems are robust against lower level errors, thanks to the intrinsically redundant antennas. This property makes it applicable to embrace digital hardware that trades quality for power savings.Comment: 190 page

    Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems

    Get PDF
    The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine Interfaces (HMI). This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches. The reader is invited to substantiate the content of this book with the deliverables published during the DESERVE project. Technical topics discussed in this book include:Modern ADAS development platforms;Design space exploration;Driving modelling;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation system
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