Development Of The Model For Optimizing Antenna - apologise, but
With growing number of smart devices over the years, number of connections to a particular network has risen. Technological advancement and changing lifestyles has encouraged consumers to use internet anywhere and anytime through mobile phones, resulting into higher usage of internet. In the recent past, wireless network providers have been focused on covering the large public access areas such as arenas, stadiums, and airports among the other with cellular services. These locations require high network capacity as it comprises of a high concentration of subscribers which in turn demands the use of distributed antenna systems DAS. They are basically internet signal boosters that strengthen the signal reception of cellular operators by removing dead spots. Development Of The Model For Optimizing Antenna
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Open Collections. UBC Theses and Dissertations. Featured Collection. Current-generation FPGAs still suffer from area and power overheads, making them unsuitable for mainstream adoption for large volume systems. FPGA companies constantly design new architectures to provide higher density, lower power consumption, and faster implementation. An experimental approach is typically followed for new architecture design, which is a very slow and computationally expensive process.
Introduction
This dissertation presents an alternate faster way for FPGA architec- ture design. We use analytical model based design techniques, where the models consist of a set of equations that relate the effectiveness of FPGA architectures to the parameters describing these architectures.
During early stage architecture investigation, FPGA architects and vendors can use our equations to quickly short-list a limited number of architectures from a range of architectures under investigation. Only the short-listed architectures need then be investigated using an expensive experimental approach.
This dissertation presents three contributions towards the formulation of analytical models and the investigation of capabilities and limitations of these models. First, we develop models that relate key FPGA architectural parameters to the depth along the critical path and the post-placement wirelength. We detail how these models can be used to estimate the expected area of implementation and critical path delay for user-circuits mapped on FPGAs.
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We show that our model can capture the effects of the architectural parameters on routability. Thirdly, we investigate capabilities and limitations of analytical models in answering design questions that are posed by the FPGA architects.
Comparing with two experimental approaches, we demonstrate ii Degelopment analytical models can better optimize FPGA architectures while requiring significantly less https://amazonia.fiocruz.br/scdp/blog/woman-in-black-character-quotes/improving-the-quality-of-care.php effort.]
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