MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things
Objective
The emerging cognitive radio-based Internet of Things (CR-IoT) network provides a novel paradigm solution for IoT devices to efficiently utilize spectrum resources which helps to identify the primary user presence under Gaussian interference conditions
Abstract
In this project, we introduce a novel spectrum sensing method for CR-IoT with additive Gaussian mixture noise/interference. The emerging cognitive radio-based Internet of Things (CR-IoT) network provides a novel paradigm solution for IoT devices to efficiently utilize spectrum resources.
Spectrum sensing is a critical problem in CR-IoT network which has been investigated extensively under the Gaussian noise/interference. The introduced method maps the observation signal matrix from original input space to a high-dimensional feature space by a nonlinear Gaussian kernel function and then to construct a kernelized test statistic in the feature space.
The approximate analytical expressions of the false-alarm and detection probability of the proposed scheme are derived under Gaussian mixture noise, and the decision threshold can be determined according to false alarm probability.
Keywords: Cognitive radio, Internet of Things, Gaussian mixture noise, kernel theory, spectrum sensing.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2018a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all Math Works products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
- Introduction to Matlab
- What is EISPACK & LINPACK
- How to start with MATLAB
- About Matlab language
- Matlab coding skills
- About tools & libraries
- Application Program Interface in Matlab
- About Matlab desktop
- How to use Matlab editor to create M-Files
- Features of Matlab
- Basics on Matlab
- Basics of wireless communications
- About cognitive radio.
- About spectrum sensing
- How system modal can be formed in Matlab.
- Construction of algorithm according to system modal
- Analyzing and visualization of plots.
- Phases of data transmission:
- Generation of input signal
- Construction of transmitter
- Formation of channel
- Construction of receiver
- About IoT data transmission
- About transmitters and receiver construction in IoT systems.
- How to extend our work to another real time applications
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Related Projects
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
