The Experts below are selected from a list of 92802 Experts worldwide ranked by ideXlab platform

Guohua Wang - One of the best experts on this subject based on the ideXlab platform.

  • Designing single/multiple sparse frequency waveforms with sidelobe constraint
    IET Radar Sonar & Navigation, 2011
    Co-Authors: Guohua Wang
    Abstract:

    Sparse frequency waveform with narrow stopbands sparsely distributed over a wide Spectrum band is preferred for many radar and communication systems operating in a highly congested Spectrum Environment. In this paper, a new method for designing sparse frequency waveform with low range side lobes are proposed. The basic idea is to achieve waveform total performance improvement by minimising a new effective penalty function based on both requirements for the power Spectrum density and the range side lobe through an iterative algorithm. The proposed approach is efficient in computation and flexible in designing sparse frequency waveform. Several design examples are also presented to show the validity of the proposed method. An extension to design multiple waveforms for multiple-input multiple-output radar is also presented.

  • designing single multiple sparse frequency waveforms with sidelobe constraint
    Iet Radar Sonar and Navigation, 2011
    Co-Authors: Guohua Wang
    Abstract:

    Sparse frequency waveform with narrow stopbands sparsely distributed over a wide Spectrum band is preferred for many radar and communication systems operating in a highly congested Spectrum Environment. In this paper, a new method for designing sparse frequency waveform with low range side lobes are proposed. The basic idea is to achieve waveform total performance improvement by minimising a new effective penalty function based on both requirements for the power Spectrum density and the range side lobe through an iterative algorithm. The proposed approach is efficient in computation and flexible in designing sparse frequency waveform. Several design examples are also presented to show the validity of the proposed method. An extension to design multiple waveforms for multiple-input multiple-output radar is also presented.

  • Designing sparse frequency waveform using iterative algorithm
    2010
    Co-Authors: Guohua Wang
    Abstract:

    Sparse frequency waveform with stopbands sparsely distributed over a larger Spectrum band is desired in many radar and communication systems operated in a highly congested Spectrum Environment. In this paper, a new method for designing sparse frequency waveform with sidelobe constraint is proposed. The basic idea is to construct a penalty function based on both the Power Spectrum Density requirement and the sidelobe requirement and then minimize it through an iterative algorithm. The proposed new method is efficient in computation and can design sparse frequency waveform with large dimensions. Numerical studies with design examples illustrated the efficiency of the proposed method.

Amir Ghasemi - One of the best experts on this subject based on the ideXlab platform.

  • IoT-Enabled Machine Learning for an Algorithmic Spectrum Decision Process
    IEEE Internet of Things Journal, 2019
    Co-Authors: Amir Ghasemi
    Abstract:

    This paper investigates a data centric approach for future regulatory Spectrum management (SM). Spectrum sensing data are collected by a Spectrum Environment awareness system built on a cloud-based service of Internet of Things. The data are used to characterize channel behaviors and establish a sharing predictor model which enables a set of efficient machine learning algorithms for automated Spectrum sharing decision making. The performance of the decision process is evaluated, illustrating the feasibility and potential of this novel SM approach.

Georgios B. Giannakis - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP (4) - Compressed Sensing for Wideband Cognitive Radios
    2007 IEEE International Conference on Acoustics Speech and Signal Processing - ICASSP '07, 2007
    Co-Authors: Zhi Tian, Georgios B. Giannakis
    Abstract:

    In the emerging paradigm of open Spectrum access, cognitive radios dynamically sense the radio-Spectrum Environment and must rapidly tune their transmitter parameters to efficiently utilize the available Spectrum. The unprecedented radio agility envisioned, calls for fast and accurate Spectrum sensing over a wide bandwidth, which challenges traditional spectral estimation methods typically operating at or above Nyquist rates. Capitalizing on the sparseness of the signal Spectrum in open-access networks, this paper develops compressed sensing techniques tailored for the coarse sensing task of Spectrum hole identification. Sub-Nyquist rate samples are utilized to detect and classify frequency bands via a wavelet-based edge detector. Because Spectrum location estimation takes priority over fine-scale signal reconstruction, the proposed novel sensing algorithms are robust to noise and can afford reduced sampling rates.

Konstantinos Psounis - One of the best experts on this subject based on the ideXlab platform.

  • equal interference power allocation for efficient shared Spectrum resource scheduling
    IEEE Transactions on Wireless Communications, 2017
    Co-Authors: Matthew Clark, Konstantinos Psounis
    Abstract:

    Effective radio frequency Spectrum sharing methods are crucial for sustaining growth and development in mobile wireless services. In this paper, we consider a real-world scenario involving Spectrum sharing between mobile wireless and meteorological satellite services as motivation for examining the general problem of efficient resource scheduling in a shared Spectrum Environment. We formulate an optimization framework for maximizing network utility subject to stochastic interference protection constraints. We design and propose a novel solution inspired by analysis of the optimization problem, where the primary contribution is an efficient power allocation algorithm to manage interference between systems. Using theory and simulations, we show that our algorithm significantly outperforms alternative approaches by well approximating the optimal solution with low enough complexity for practical, real-time application to large networks.

Thao T. Nguyen - One of the best experts on this subject based on the ideXlab platform.

  • Independent Calculation of Move Lists for Incumbent Protection in a Multi-SAS Shared Spectrum Environment
    IEEE Wireless Communications Letters, 2021
    Co-Authors: Michael R. Souryal, Thao T. Nguyen
    Abstract:

    In the 3.5 GHz Citizens Broadband Radio Service (CBRS), secondary users are managed by Spectrum access systems (SASs) to protect incumbents from interference. Current practice requires each SAS to exchange detailed user information with other SASs, and to use a common algorithm to suspend transmissions so that an aggregate interference percentile is below a predefined threshold. We propose a simplified method that utilizes a tight bound on the aggregate interference distribution. Simulation results show that the proposed approach trades off a marginal reduction in spectral efficiency to greatly simplify incumbent protection procedure, allowing each SAS to independently manage its users.