Search for dissertations about: "Spectrum sensing for Cognitive radio"
Showing result 1 - 5 of 16 swedish dissertations containing the words Spectrum sensing for Cognitive radio.
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1. On Spectrum Sensing for Secondary Operation in Licensed Spectrum : Blind Sensing, Sensing Optimization and Traffic Modeling
Abstract : There has been a recent explosive growth in mobile data consumption. This, in turn, imposes many challenges for mobile services providers and regulators in many aspects. One of these primary challenges is maintaining the radio spectrum to handle the current and upcoming expansion in mobile data traffic. READ MORE
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2. On Finding Spectrum Opportunities in Cognitive Radios : Spectrum Sensing and Geo-locations Database
Abstract : The spectacular growth in wireless services imposes scarcity in term of the available radio spectrum. A solution to overcome this scarcity is to adopt what so called cognitive radio based on dynamic spectrum access. READ MORE
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3. Cognitive Sensing and Transmission Strategies
Abstract : Many frequency bands for wireless services are severely underutilized by the primary users (PU) to which these bands are assigned. This motivates cognitive radios (CR), which identifies vacant spectrum and transmit accordingly. Many algorithms, some as simple as energy detection, are used to sense the spectrum. READ MORE
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4. Spectrum Sensing for Cognitive Radio
Abstract : This work focuses on the improvement of spectrum utilization by evaluating and proposing a subset of radio scene analysis algorithms for opportunistic spectrum access deployment in a cognitive radio network. The proposed algorithms aim to solve two problems: detecting vacant frequency channels and estimating the waveform, including modulation type, symbol rate, and central frequency. READ MORE
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5. Cognitive Radio Networks : Elements and Architectures
Abstract : As mobility and computing becomes ever more pervasive in society and business, the non-optimal use of radio resources has created many new challenges for telecommunication operators. Usage patterns of modern wireless handheld devices, such as smartphones and surfboards, have indicated that the signaling traffic generated is many times larger than at a traditional laptop. READ MORE