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Optimal quantization of TV white space regions for a broadcast based geolocation database

机译:基于广播的地理位置数据库的电视空白区域的最佳量化

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摘要

Currently, TV white space databases communicate the available channels over a reliable Internet connection to the secondary devices. For places where an Internet connection is not available, such as in developing countries, we propose a broadcast based geolocation database. This proposed geolocation database will broadcast the TV white space (or the primary services protection regions) on a rate-constrained channel. In this work, the feasibility of a broadcast based geolocation database transmission will be examined over rate constrained satellite channels. To address this problem, the quantization or digital representation of primary services protection regions is considered. Due to the quantization process, any point in the protection region must not be declared as white space region. Thus, this quantization problem is different than traditional quantizers which minimize the mean-squared error. A quantizer design algorithm is the main result of this work, which minimizes the TV white space area declared as protected region due to quantization. Performance results of our quantization algorithm on US and India UHF-band protection regions will be shown. The update-rate versus bandwidth tradeoff, while using satellite TV channels, for the proposed broadcast based geolocation database will also be explored in this work.
机译:当前,电视空白数据库通过可靠的Internet连接将可用频道传送到辅助设备。对于无法使用Internet连接的地方(例如在发展中国家),我们建议使用基于广播的地理位置数据库。该提议的地理位置数据库将在速率受限的频道上广播电视空白区域(或主要服务保护区域)。在这项工作中,将在速率受限的卫星信道上检查基于广播的地理位置数据库传输的可行性。为了解决这个问题,考虑了主要服务保护区域的量化或数字表示。由于量化过程,保护区域中的任何点都不得声明为空白区域。因此,该量化问题不同于使均方误差最小化的传统量化器。量化器设计算法是这项工作的主要成果,它使由于量化而被宣布为保护区的电视空白区域最小化。将显示我们的量化算法在美国和印度UHF频段保护区域的性能结果。在这项工作中,还将探讨在使用卫星电视频道时,针对建议的基于广播的地理位置数据库的更新速率与带宽之间的折衷。

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