Tennessee Technological University

Displaying 1-33 of 33 results

  • White Papers // Mar 2012

    Towards a Large-Scale Cognitive Radio Network Testbed: Spectrum Sensing, System Architecture, and Distributed Sensing

    This paper presents a comprehensive review of the Cognitive Radio Network (CRN) testbed built at TTU. The authors' goals are to use their CRN testbed as a data acquisition tool; to use random matrix theory to model the collect data and apply the new models in the context of quantum...

    Provided By Tennessee Technological University

  • White Papers // Nov 2011

    Target Detection With Linear and Kernel Subspaces Matching in the Presence of Strong Clutter

    This paper proposes potential approaches to detect the weak target in the presence of strong disturbance. The disturbance consists of strong clutter and white Gaussian noise. The target and clutter are assumed to lie in the corresponding subspaces. The algorithms of subspace matching in the linear and kernel subspaces are...

    Provided By Tennessee Technological University

  • White Papers // Nov 2011

    Target Signal Detection With Function of Covariance Matrices in Clutter Environment

    Clutter has a strong interference on target signal detection. Different statistical model should be applied to specific situation. In this paper, the authors propose a function of covariance matrix based algorithm to detect target signal under clutter environment. The statistical covariance matrices with and without target signal are usually different,...

    Provided By Tennessee Technological University

  • White Papers // Nov 2011

    Cognitive Radio Network as Wireless Sensor Network (III): Passive Target Intrusion Detection and Experimental Demonstration

    A Cognitive Radio Network (CRN) based Wireless Sensor Network (WSN), as an extension of CRN, is explored for Radio Frequency (RF) passive target intrusion detection. Compared to a cheap WSN, the CRN based WSN is expected to deliver better results due to its strong communication functions and powerful computing ability....

    Provided By Tennessee Technological University

  • White Papers // Oct 2011

    Cognitive Radio Network as Sensors: Low Signal-to-Noise Ratio Collaborative Spectrum Sensing

    This paper propose a function of covariance matrix based spectrum sensing approach for cognitive radio systems. The statistical covariance of signal and noise are usually different, so a binary hypothesis test on covariance matrix is employed to determine the existence of primary user. Collaborative sensing scenario is introduced for the...

    Provided By Tennessee Technological University

  • White Papers // Oct 2011

    Spectrum Sensing in Cognitive Radio With Subspace Matching

    Spectrum sensing has been put forward to make more efficient use of scarce radio frequency spectrum. The leading eigenvector of the sample covariance matrix has been applied to spectrum sensing under the frameworks of PCA and kernel PCA. In this paper, spectrum sensing with subspace matching is proposed. The subspace...

    Provided By Tennessee Technological University

  • White Papers // Oct 2011

    Spectrum Sensing in Cognitive Radio With Robust Principal Component Analysis

    Spectrum sensing is a cornerstone in cognitive radio. Covariance matrix based method has been widely used in spectrum sensing. As is well-known that the covariance matrix of white noise is proportional to the identity matrix which is sparse. On the other hand, the covariance matrix of signal is usually low-rank....

    Provided By Tennessee Technological University

  • White Papers // Jul 2011

    Towards A Large-Scale Cognitive Radio Network: Testbed, Intensive Computing, Frequency Agility, and Security

    Cognitive Radio (CR) is a promising technique for improving the efficiency of utilizing the precious radio spectrum. A Cognitive Radio Network (CRN) testbed not only can verify concepts, algorithms, and protocols for CR, but also can reveal practical problems and guide future research. Vision, architecture, intensive computing, frequency band shifting,...

    Provided By Tennessee Technological University

  • White Papers // Jun 2011

    Cognitive Radio Network as Wireless Sensor Network (I): Architecture, Testbed, and Experiment

    This paper explores the vision of a dual-use sensing/communication system based on Cognitive Radio Network (CRN). The motivation of the paper is to push the convergence of sensing and communication systems into a unified cognitive network. The concept design of this sensing/communication system is presented along with potential functions and...

    Provided By Tennessee Technological University

  • White Papers // Jun 2011

    Cognitive Radio Network as Wireless Sensor Network (II): Security Consideration

    This paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. The authors propose two methods...

    Provided By Tennessee Technological University

  • White Papers // Jun 2011

    Ultra-Wideband Multichannel Receiver Test Bed

    Developing a test bed for the study of UWB (Ultra Wide Band) MIMO (Multi Input Multi Output) systems requires unique capability not necessarily found in common commercially available devices. Some of the characteristics attractive to research test beds are impractical when applied to commercial solutions, this is especially true of...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Spectrum Sensing Based on Blindly Learned Signal Feature

    Spectrum sensing is the major challenge in the Cognitive Radio (CR). The authors propose to learn local feature and use it as the prior knowledge to improve the detection performance. They define the local feature as the leading eigenvector derived from the received signal samples. A Feature Learning Algorithm (FLA)...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing

    Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Recent progress in Compressed Sensing (CS) initialized several sub-Nyquist rate approaches to overcome the problem. However, efforts to design CS reconstruction algorithms for wideband spectrum sensing are very limited. It is possible to further reduce the sampling rate requirement...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Towards A Real-Time UWB MIMO Testbed for Sensing and Communications

    This paper reports a research testbed of real-time Ultra-WideBand (UWB) Multiple-Input Multiple-Output (MIMO) radio. In the receiver design, the UWB MIMO receiver supports up to eight channels, where each channel is equipped with an Analog-To-Digital Converter (ADC) with 8-bit resolution and sampling rate up to 3 Giga samples per second...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Cooperative Spectrum Sensing Using Q-Learning With Experimental Validation

    Spectrum sensing detects the availability of the radio frequency spectrum and it is essential to cognitive radio. Cooperative spectrum sensing conducted among multiple secondary users has the potentials for solving the hidden terminal problem and achieving a better performance. In this paper, an approach for cooperative spectrum sensing based on...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Building a Cognitive Radio Network Testbed

    Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. A testbed for cognitive radio can not only verify concepts, algorithms, and protocols, but also dig out more practical problems for future research. However, to the authors' best knowledge, an authentic real-time cognitive radio system...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Q-Learning Based Bidding Algorithm for Spectrum Auction in Cognitive Radio

    Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. Once available frequency bands have been detected using spectrum sensing algorithms, spectrum auction can be employed to allocate the detected available frequency bands to secondary users. In this paper, a bidding algorithm based on Q-learning...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Calculation of Weight Vectors for Wideband Beamforming Using Graphics Processing Units

    In order to be viable for use in communication and radar systems, wideband beamforming requires the calculation of filter coefficients to be performed quickly so as to avoid undesirable latency in the system. This paper provides a quick introduction to the method of least-squares wideband beamforming and discusses the use...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Channel State Prediction in Cognitive Radio, Part I: Response Delays in Practical Hardware Platforms

    Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. Spectrum sensing is the cornerstone of cognitive radio. As a part of the effort toward building a cognitive radio network testbed, the authors have demonstrated real-time spectrum sensing. However, current hardware platforms for cognitive radio...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Channel State Prediction in Cognitive Radio, Part II: Single-User Prediction

    The response delay has a negative impact on the accuracy of spectrum sensing, which is the cornerstone of cognitive radio. In this paper, single-user prediction of channel state is proposed to minimize the negative impact of response delays caused by hardware platforms. Specifically, a modified Hidden Markov Model (HMM) based...

    Provided By Tennessee Technological University

  • White Papers // Nov 2010

    Phase Reconstruction Using Machine Learning For Wireless Tomography

    This is the following paper in a series on a new initiative of wireless tomography. The goal is to combine two areas: wireless communication and radio tomography. This paper primarily focuses on phase reconstruction using machine learning for wireless tomography. When only communication components instead of sophisticated equipment are exploited...

    Provided By Tennessee Technological University

  • White Papers // Aug 2010

    UWB Time Reversal: From Theory to Practice

    This paper discusses the theory behind Ultra-WideBand (UWB) transmit waveform design, and reports a proof-of-concept UWB radio testbed with waveform level precoding. Unlike a narrow-band channel, a UWB channel contains a large number of resolved multipath components, which opens a door for exploring new features offered by UWB. Waveform level...

    Provided By Tennessee Technological University

  • White Papers // Jul 2010

    Wireless Tomography, Part II: A System Engineering Approach

    This is the second paper in a series on a new initiative of wireless tomography. The goal is to combine two areas: wireless communication and radio tomography. This paper studies wireless tomography from a system engineering's point of view. Machine learning and waveform diversity will be applied to wireless tomography....

    Provided By Tennessee Technological University

  • White Papers // Jul 2010

    Wireless Tomography, Part I: A Novel Approach to Remote Sensing

    The methodology, literature review, related work, and system engineering are presented. Concrete algorithms and hardware platforms are implemented to demonstrate this concept. Self-cohering tomography is studied in depth. More research will be reported, following this initiative. The ever increasing demand on remote sensing capabilities directly conflicts with the accelerating awareness...

    Provided By Tennessee Technological University

  • White Papers // Jul 2010

    Wireless Tomography, Part III: Compressed Sensing for Ultra-Wideband Signals

    Wireless tomography is related to wireless communications in that it requires the channel recovery between different waveforms at transmit and receive, as well as Multiple-Input Multiple-Output (MIMO) communication system. According to the pulse propagation mechanisms of reflection and diffraction, Ultra-WideBand (UWB) waveforms suffer pulse distortion. Distorted pulses will overlap and...

    Provided By Tennessee Technological University

  • White Papers // Jun 2010

    FPGA Based UWB MISO Time-Reversal System Design and Implementation

    In this paper, a testbed design and implementation of Ultra-WideBand (UWB) Multiple-Input Single-Output (MISO) time-reversal system are presented. The implementation is based on Field Programmable Gate Array (FPGA). The combination of MISO with UWB time-reversal is promising for enhancing the data rate and reliability in harsh wireless environments. When multiple...

    Provided By Tennessee Technological University

  • White Papers // May 2010

    Towards A Real-Time Cognitive Radio Network Testbed: Architecture, Hardware Platform, and Application to Smart Grid

    A real-time cognitive radio network testbed is being built. This is the first paper to capture the overall picture of this project. Project scope and philosophy, design architecture, hardware platform, and key algorithms are reported. The use of cognitive radio network for smart grid is for the first time proposed...

    Provided By Tennessee Technological University

  • White Papers // Jan 2010

    Prediction of Channel State for Cognitive Radio Using Higher-Order Hidden Markov Model

    Spectrum sensing detects the availability of the radio frequency spectrum, which is essential and vital to cognitive radio. Traditional techniques for spectrum sensing fail to take the latency between spectrum sensing and data transmission into consideration. However, such latency does exist in hardware implementation. Prediction can be utilized to diminish...

    Provided By Tennessee Technological University

  • White Papers // Jan 2010

    Real-Time MISO UWB Radio Testbed and Waveform Design

    The paper presents the design challenges and implementation issues of a real-time Multiple-Input Single-Output (MISO) Ultra-WideBand (UWB) radio testbed, which involves Xinlix Virtex-5 Field Programmable Gate Array (FPGA) for high speed signal processing. In addition, waveform design and optimization based on the testbed is practical studied. System performance is evaluated...

    Provided By Tennessee Technological University

  • White Papers // Jul 2009

    Quickest Spectrum Detection Using Hidden Markov Model for Cognitive Radio

    The prerequisite of accessing white spectrum is to find and locate it. The authors' work deals with spectrum detection and recognition under the umbrella of cognitive radio. In the procedure of spectrum recognition, a frequency sweeping device sweeps the wideband spectrum and the samples of the wideband Power Spectrum Density...

    Provided By Tennessee Technological University

  • White Papers // Apr 2009

    A Compressed Sensing Based Ultra-Wideband Communication System

    Sampling is the bottleneck for Ultra-WideBand (UWB) communication. The major contribution is to exploit the channel itself as part of compressed sensing, through waveform-based pre-coding at the transmitter. The authors also have demonstrated a UWB system baseband bandwidth (5 GHz) that would, if with the conventional sampling technology, take decades...

    Provided By Tennessee Technological University

  • White Papers // Jan 2009

    KVM on Clusters: Tackling the Disk I/O Bottleneck for HPC Virtualization

    Extending virtualization technology into high-performance, cluster platforms generates exciting new possibilities. For example, runtime environments can be extended and tailored to each user or application, which in turn enables broader library support and customization as well as cross-cluster compatibility. Dynamic job consolidation on compute nodes can be used for more...

    Provided By Tennessee Technological University

  • White Papers // Sep 2008

    Compressive Sensing Based Ultra-Wideband Communication System

    Sampling is the bottleneck for Ultra-WideBand (UWB) communication. The authors' major contribution is to exploit the channel itself as part of compressive sampling, through waveform-level pre-coding at the transmitter. They also have demonstrated a UWB system baseband bandwidth (5 GHz) that would, if with the conventional sampling technology, take decades...

    Provided By Tennessee Technological University

  • White Papers // Jul 2010

    Wireless Tomography, Part III: Compressed Sensing for Ultra-Wideband Signals

    Wireless tomography is related to wireless communications in that it requires the channel recovery between different waveforms at transmit and receive, as well as Multiple-Input Multiple-Output (MIMO) communication system. According to the pulse propagation mechanisms of reflection and diffraction, Ultra-WideBand (UWB) waveforms suffer pulse distortion. Distorted pulses will overlap and...

    Provided By Tennessee Technological University

  • White Papers // Aug 2010

    UWB Time Reversal: From Theory to Practice

    This paper discusses the theory behind Ultra-WideBand (UWB) transmit waveform design, and reports a proof-of-concept UWB radio testbed with waveform level precoding. Unlike a narrow-band channel, a UWB channel contains a large number of resolved multipath components, which opens a door for exploring new features offered by UWB. Waveform level...

    Provided By Tennessee Technological University

  • White Papers // Jul 2010

    Wireless Tomography, Part II: A System Engineering Approach

    This is the second paper in a series on a new initiative of wireless tomography. The goal is to combine two areas: wireless communication and radio tomography. This paper studies wireless tomography from a system engineering's point of view. Machine learning and waveform diversity will be applied to wireless tomography....

    Provided By Tennessee Technological University

  • White Papers // Jul 2010

    Wireless Tomography, Part I: A Novel Approach to Remote Sensing

    The methodology, literature review, related work, and system engineering are presented. Concrete algorithms and hardware platforms are implemented to demonstrate this concept. Self-cohering tomography is studied in depth. More research will be reported, following this initiative. The ever increasing demand on remote sensing capabilities directly conflicts with the accelerating awareness...

    Provided By Tennessee Technological University

  • White Papers // May 2010

    Towards A Real-Time Cognitive Radio Network Testbed: Architecture, Hardware Platform, and Application to Smart Grid

    A real-time cognitive radio network testbed is being built. This is the first paper to capture the overall picture of this project. Project scope and philosophy, design architecture, hardware platform, and key algorithms are reported. The use of cognitive radio network for smart grid is for the first time proposed...

    Provided By Tennessee Technological University

  • White Papers // Jan 2010

    Prediction of Channel State for Cognitive Radio Using Higher-Order Hidden Markov Model

    Spectrum sensing detects the availability of the radio frequency spectrum, which is essential and vital to cognitive radio. Traditional techniques for spectrum sensing fail to take the latency between spectrum sensing and data transmission into consideration. However, such latency does exist in hardware implementation. Prediction can be utilized to diminish...

    Provided By Tennessee Technological University

  • White Papers // Jan 2010

    Real-Time MISO UWB Radio Testbed and Waveform Design

    The paper presents the design challenges and implementation issues of a real-time Multiple-Input Single-Output (MISO) Ultra-WideBand (UWB) radio testbed, which involves Xinlix Virtex-5 Field Programmable Gate Array (FPGA) for high speed signal processing. In addition, waveform design and optimization based on the testbed is practical studied. System performance is evaluated...

    Provided By Tennessee Technological University

  • White Papers // Jul 2009

    Quickest Spectrum Detection Using Hidden Markov Model for Cognitive Radio

    The prerequisite of accessing white spectrum is to find and locate it. The authors' work deals with spectrum detection and recognition under the umbrella of cognitive radio. In the procedure of spectrum recognition, a frequency sweeping device sweeps the wideband spectrum and the samples of the wideband Power Spectrum Density...

    Provided By Tennessee Technological University

  • White Papers // Sep 2008

    Compressive Sensing Based Ultra-Wideband Communication System

    Sampling is the bottleneck for Ultra-WideBand (UWB) communication. The authors' major contribution is to exploit the channel itself as part of compressive sampling, through waveform-level pre-coding at the transmitter. They also have demonstrated a UWB system baseband bandwidth (5 GHz) that would, if with the conventional sampling technology, take decades...

    Provided By Tennessee Technological University

  • White Papers // Mar 2012

    Towards a Large-Scale Cognitive Radio Network Testbed: Spectrum Sensing, System Architecture, and Distributed Sensing

    This paper presents a comprehensive review of the Cognitive Radio Network (CRN) testbed built at TTU. The authors' goals are to use their CRN testbed as a data acquisition tool; to use random matrix theory to model the collect data and apply the new models in the context of quantum...

    Provided By Tennessee Technological University

  • White Papers // Oct 2011

    Cognitive Radio Network as Sensors: Low Signal-to-Noise Ratio Collaborative Spectrum Sensing

    This paper propose a function of covariance matrix based spectrum sensing approach for cognitive radio systems. The statistical covariance of signal and noise are usually different, so a binary hypothesis test on covariance matrix is employed to determine the existence of primary user. Collaborative sensing scenario is introduced for the...

    Provided By Tennessee Technological University

  • White Papers // Jun 2011

    Cognitive Radio Network as Wireless Sensor Network (I): Architecture, Testbed, and Experiment

    This paper explores the vision of a dual-use sensing/communication system based on Cognitive Radio Network (CRN). The motivation of the paper is to push the convergence of sensing and communication systems into a unified cognitive network. The concept design of this sensing/communication system is presented along with potential functions and...

    Provided By Tennessee Technological University

  • White Papers // Jun 2011

    Cognitive Radio Network as Wireless Sensor Network (II): Security Consideration

    This paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. The authors propose two methods...

    Provided By Tennessee Technological University

  • White Papers // Jun 2011

    Ultra-Wideband Multichannel Receiver Test Bed

    Developing a test bed for the study of UWB (Ultra Wide Band) MIMO (Multi Input Multi Output) systems requires unique capability not necessarily found in common commercially available devices. Some of the characteristics attractive to research test beds are impractical when applied to commercial solutions, this is especially true of...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Calculation of Weight Vectors for Wideband Beamforming Using Graphics Processing Units

    In order to be viable for use in communication and radar systems, wideband beamforming requires the calculation of filter coefficients to be performed quickly so as to avoid undesirable latency in the system. This paper provides a quick introduction to the method of least-squares wideband beamforming and discusses the use...

    Provided By Tennessee Technological University

  • White Papers // Jan 2009

    KVM on Clusters: Tackling the Disk I/O Bottleneck for HPC Virtualization

    Extending virtualization technology into high-performance, cluster platforms generates exciting new possibilities. For example, runtime environments can be extended and tailored to each user or application, which in turn enables broader library support and customization as well as cross-cluster compatibility. Dynamic job consolidation on compute nodes can be used for more...

    Provided By Tennessee Technological University

  • White Papers // Apr 2009

    A Compressed Sensing Based Ultra-Wideband Communication System

    Sampling is the bottleneck for Ultra-WideBand (UWB) communication. The major contribution is to exploit the channel itself as part of compressed sensing, through waveform-based pre-coding at the transmitter. The authors also have demonstrated a UWB system baseband bandwidth (5 GHz) that would, if with the conventional sampling technology, take decades...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Spectrum Sensing Based on Blindly Learned Signal Feature

    Spectrum sensing is the major challenge in the Cognitive Radio (CR). The authors propose to learn local feature and use it as the prior knowledge to improve the detection performance. They define the local feature as the leading eigenvector derived from the received signal samples. A Feature Learning Algorithm (FLA)...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing

    Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Recent progress in Compressed Sensing (CS) initialized several sub-Nyquist rate approaches to overcome the problem. However, efforts to design CS reconstruction algorithms for wideband spectrum sensing are very limited. It is possible to further reduce the sampling rate requirement...

    Provided By Tennessee Technological University

  • White Papers // Jul 2011

    Towards A Large-Scale Cognitive Radio Network: Testbed, Intensive Computing, Frequency Agility, and Security

    Cognitive Radio (CR) is a promising technique for improving the efficiency of utilizing the precious radio spectrum. A Cognitive Radio Network (CRN) testbed not only can verify concepts, algorithms, and protocols for CR, but also can reveal practical problems and guide future research. Vision, architecture, intensive computing, frequency band shifting,...

    Provided By Tennessee Technological University

  • White Papers // Oct 2011

    Spectrum Sensing in Cognitive Radio With Subspace Matching

    Spectrum sensing has been put forward to make more efficient use of scarce radio frequency spectrum. The leading eigenvector of the sample covariance matrix has been applied to spectrum sensing under the frameworks of PCA and kernel PCA. In this paper, spectrum sensing with subspace matching is proposed. The subspace...

    Provided By Tennessee Technological University

  • White Papers // Oct 2011

    Spectrum Sensing in Cognitive Radio With Robust Principal Component Analysis

    Spectrum sensing is a cornerstone in cognitive radio. Covariance matrix based method has been widely used in spectrum sensing. As is well-known that the covariance matrix of white noise is proportional to the identity matrix which is sparse. On the other hand, the covariance matrix of signal is usually low-rank....

    Provided By Tennessee Technological University

  • White Papers // Nov 2011

    Cognitive Radio Network as Wireless Sensor Network (III): Passive Target Intrusion Detection and Experimental Demonstration

    A Cognitive Radio Network (CRN) based Wireless Sensor Network (WSN), as an extension of CRN, is explored for Radio Frequency (RF) passive target intrusion detection. Compared to a cheap WSN, the CRN based WSN is expected to deliver better results due to its strong communication functions and powerful computing ability....

    Provided By Tennessee Technological University

  • White Papers // Nov 2011

    Target Detection With Linear and Kernel Subspaces Matching in the Presence of Strong Clutter

    This paper proposes potential approaches to detect the weak target in the presence of strong disturbance. The disturbance consists of strong clutter and white Gaussian noise. The target and clutter are assumed to lie in the corresponding subspaces. The algorithms of subspace matching in the linear and kernel subspaces are...

    Provided By Tennessee Technological University

  • White Papers // Nov 2011

    Target Signal Detection With Function of Covariance Matrices in Clutter Environment

    Clutter has a strong interference on target signal detection. Different statistical model should be applied to specific situation. In this paper, the authors propose a function of covariance matrix based algorithm to detect target signal under clutter environment. The statistical covariance matrices with and without target signal are usually different,...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Towards A Real-Time UWB MIMO Testbed for Sensing and Communications

    This paper reports a research testbed of real-time Ultra-WideBand (UWB) Multiple-Input Multiple-Output (MIMO) radio. In the receiver design, the UWB MIMO receiver supports up to eight channels, where each channel is equipped with an Analog-To-Digital Converter (ADC) with 8-bit resolution and sampling rate up to 3 Giga samples per second...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Cooperative Spectrum Sensing Using Q-Learning With Experimental Validation

    Spectrum sensing detects the availability of the radio frequency spectrum and it is essential to cognitive radio. Cooperative spectrum sensing conducted among multiple secondary users has the potentials for solving the hidden terminal problem and achieving a better performance. In this paper, an approach for cooperative spectrum sensing based on...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Building a Cognitive Radio Network Testbed

    Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. A testbed for cognitive radio can not only verify concepts, algorithms, and protocols, but also dig out more practical problems for future research. However, to the authors' best knowledge, an authentic real-time cognitive radio system...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Q-Learning Based Bidding Algorithm for Spectrum Auction in Cognitive Radio

    Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. Once available frequency bands have been detected using spectrum sensing algorithms, spectrum auction can be employed to allocate the detected available frequency bands to secondary users. In this paper, a bidding algorithm based on Q-learning...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Channel State Prediction in Cognitive Radio, Part I: Response Delays in Practical Hardware Platforms

    Cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. Spectrum sensing is the cornerstone of cognitive radio. As a part of the effort toward building a cognitive radio network testbed, the authors have demonstrated real-time spectrum sensing. However, current hardware platforms for cognitive radio...

    Provided By Tennessee Technological University

  • White Papers // Feb 2011

    Channel State Prediction in Cognitive Radio, Part II: Single-User Prediction

    The response delay has a negative impact on the accuracy of spectrum sensing, which is the cornerstone of cognitive radio. In this paper, single-user prediction of channel state is proposed to minimize the negative impact of response delays caused by hardware platforms. Specifically, a modified Hidden Markov Model (HMM) based...

    Provided By Tennessee Technological University

  • White Papers // Nov 2010

    Phase Reconstruction Using Machine Learning For Wireless Tomography

    This is the following paper in a series on a new initiative of wireless tomography. The goal is to combine two areas: wireless communication and radio tomography. This paper primarily focuses on phase reconstruction using machine learning for wireless tomography. When only communication components instead of sophisticated equipment are exploited...

    Provided By Tennessee Technological University

  • White Papers // Jun 2010

    FPGA Based UWB MISO Time-Reversal System Design and Implementation

    In this paper, a testbed design and implementation of Ultra-WideBand (UWB) Multiple-Input Single-Output (MISO) time-reversal system are presented. The implementation is based on Field Programmable Gate Array (FPGA). The combination of MISO with UWB time-reversal is promising for enhancing the data rate and reliability in harsh wireless environments. When multiple...

    Provided By Tennessee Technological University