Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 86 for “"spectrum sensing"”.
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Mixed-Signal Architectures for Spectrum Sensing
The radio spectrum is subject to temporal and geographic variations and measurements indicate low utilization below 6GHz. In response, the Federal Communications Commission sent a notice of proposed rulemaking to facilitate cognitive radio use in the licensed digital television bands. Cognitive …
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Spectrum Sensing in Cognitive Radio Networks
Given the ever-growing demand for radio spectrum, cognitive radio has recently emerged as an attractive wireless communication technology. This dissertation is concerned with developing spectrum sensing algorithms in cognitive radio networks where a single or multiple cognitive radios (CRs) assist …
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Wideband spectrum sensing using rapidly tuned antennas
… for cognitive radio is expeditious wideband spectrum sensing. A major challenge for implementing wideband spectrum sensors is fitting a wideband antenna within a given form factor. Scanning a narrowband antenna is an attractive alternative to using a wideband antenna in situations where …
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Efficient spectrum sensing and utilization for cognitive radio
… been introduced to opportunistically exploit the spectrum. We present a robust and cost-effective design to ensure the improvement of spectrum efficiency with CR. We first propose probability-based spectrum sensing by utilizing the statistical characteristics of licensed channel occupancy, which …
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FPGA Reservoir Computing Networks for Dynamic Spectrum Sensing
… device-to-device (D2D) communication and dynamic spectrum sharing (DSS). This challenge has inspired a wave of research in energy efficient machine learning hardware with low computational and area overhead. In particular, hardware implementations of the delayed feedback reservoir (DFR) model show …
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Spectrum sensing based on capon power spectral density estimation
… radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary users to efficiently utilize the spectrum without interfering with primary users. The performance of this function depends on the …
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Spectrum sensing, spectrum monitoring, and security in cognitive radios
Spectrum sensing is a key function of cognitive radios and is used to determine whether a primary user is present in the channel or not. In this dissertation, we formulate and solve the generalized likelihood ratio test (GLRT) for spectrum sensing when both primary user transmitter and the …
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Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks
… next generation radio access networks is limited spectrum availability. Current mobile technologies have been standardized to operate within reserved, dedicated frequency bands. Network operators are granted exclusive access to the allocated frequency bands, which are reserved regardless of users' …
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Real-World Considerations for Deep Learning in Spectrum Sensing
Recently, automatic modulation classification techniques using deep neural networks on raw IQ samples have been investigated and show promise when compared to more traditional likelihood-based or feature-based techniques. While likelihood-based and feature-based techniques are effective, making …
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Optimizing Reservoir Computing Architecture for Dynamic Spectrum Sensing Applications
Spectrum sensing in wireless communications serves as a crucial binary classification tool in cognitive radios, facilitating the detection of available radio spectrums for secondary users, especially in scenarios with high Signal-to-Noise Ratio (SNR). Leveraging Liquid State Machines (LSMs), which …
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Combined Soft Hard Cooperative Spectrum Sensing in Cognitive Radio Networks
… some techniques to enhance the performance of spectrum sensing in cognitive radio systems while accounting for the cost and bandwidth limitations in practical scenarios is the main objective of this thesis. We focus on an essential element of cooperative spectrum sensing (CSS) which is the data …
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MULTI USER COOPERATION SPECTRUM SENSING IN WIRELESS COGNITIVE RADIO NETWORKS
… devices and services, the demand for the radio spectrum is increasing at a rapid rate, which leads to making the spectrum more and more crowded. The limited available spectrum and the inefficiency in the spectrum usage have led to the emergence of cognitive radio (CR) and dynamic spectrum access …
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Binary consensus-based cooperative spectrum sensing in cognitive radio networks
… consensus algorithms for distributed cooperative spectrum sensing in cognitive radio networks. We propose to use two binary approaches, namely diversity and fusion binary consensus spectrum sensing. The performance of these algorithms is analyzed over fading channels. The probability of networked …
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Spectrum Sensing and Blind Automatic Modulation Classification in Real-Time
This paper describes the implementation of a scanning signal detector and automatic modulation classification system. The classification technique is a completely blind method, with no prior knowledge of the signal's center frequency, bandwidth, or symbol rate. An energy detector forms the initial …
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Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems
Recent innovations in machine learning have paved the way for new capabilities in the field of radio frequency (RF) communications. Machine learning techniques such as reinforcement learning and deep neural networks (DNN) can be leveraged to improve upon traditional wireless communications methods …
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Machine Learning and Spectrum Sensing Cognitive Radio for Satcom Interference Detection
… for the detection method similar to a passive sensing method that cannot take up the resources such as that of a dedicated payload. This thesis focuses on the detection aspect and neglects the mitigation aspect of the SATCOM interference problem. The methods section details the design of a …
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Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments
The task of spectrum sensing, defined here to consist of signal detection, signal parameter estimation, and signal identification, is a critically important task in a wide-variety of wireless communication applications. For example, in recent years, government and research initiatives have proposed …
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An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing
In modern communication systems, it’s important to detect and use available radio frequencies effectively. However, current methods face challenges with complexity and noise interference. We’ve developed a new approach using advanced artificial intelligence (AI) based computing techniques to …
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Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios
… the Radiobot [1], whose goals go beyond dynamic spectrum access (DSA) to achieve the main features of cognition, notably, self-learning and self-reconfiguration. The proposed CR architecture is based on a sequence of signal processing and machine learning techniques that enable the Radiobot to …
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