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        Maximizing OFDM Performance Through Real Time Adaptivity

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        Author(s)
        Blümm, Christian
        Language
        English
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        Abstract
        Broadband wireless communication is nowadays dominated by the waveform principle Orthogonal Frequency Division Multiplexing (OFDM). Its parameters are typically designed conservatively to cope with the expected worst case propagation channel. This makes the system more robust than required most of the time, but it does conflict with throughput maximization. Next generation standards, such as 5G, will not tolerate this waste of resources anymore and also state-of-the-art systems call for optimization, especially those in extremely varying environments. This book addresses an OFDM system, which configures itself in real time as a response to actual radio channel conditions. This makes it an adaptive radio, which has been implemented in the course of diverse aeronautical projects for Airbus Group Innovations, Germany. It runs entirely on an FPGA platform, which allows for real-time customization of various key parameters, including cyclic prefix, fast Fourier transformation, modulation and coding, dynamic spectrum access and time division multiple access. Some of these parameters are optimized through the results of an integrated channel sounder, which reveals the actual delay spread and Doppler spread of the channel. Proof of concept is provided by three demanding case studies: Aircraft-to- ground flight telemetry, a communication scenario with an unmanned aerial vehicle (UAV) and intra aircraft cabin dynamic spectrum access.
        URI
        https://library.oapen.org/handle/20.500.12657/109136
        Keywords
        Flugkörper; Field programmable gate array; Digitale Subtraktionsangiographie; Adaptive Radio; OFDM
        ISBN
        9783961470396, 9783961470396, 9783961470389
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2017
        Series
        FAU Studien aus der Elektrotechnik, 8
        Classification
        Technology, Engineering, Agriculture, Industrial processes
        Pages
        207
        Rights
        https://creativecommons.org/licenses/by-nc-nd/3.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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