Radio resource management projects and source code

A wideband spectrum sensing method for cognitive radio using sub nyquist sampling in matlab

The following Matlab project contains the source code and Matlab examples used for a wideband spectrum sensing method for cognitive radio using sub nyquist sampling. simulation of the following paper: A Wideband Spectrum Sensing Method for Cognitive Radio using Sub-Nyquist Sampling IEEE DSP/SPE 2011

Spatial channel model for mimo simulations. a ray based simulator based on 3gpp tr 25.996 v.6.1.0 in matlab

The following Matlab project contains the source code and Matlab examples used for spatial channel model for mimo simulations. a ray based simulator based on 3gpp tr 25.996 v.6.1.0. The MIMO spatial channel model simulates a wireless propagation channel in various cases and applies the concept of diversity (spatial and polarization) assuming multiple antennas at both the transmitter and receiver, thus forming a Multiple Input Multiple Output antenna system.

Optimization in cooperative spectrum sensing in cognitive radio network in matlab

The following Matlab project contains the source code and Matlab examples used for optimization in cooperative spectrum sensing in cognitive radio network. Cooperative spectrum sensing and adapting to the environment, a cognitive radio is able to fill spectrum holes and serve without causing harmful interference to the licensed user.

Structured mimo h infinity design for a dual stage platform using hifoo and hinfstruct in matlab

The following Matlab project contains the source code and Matlab examples used for structured mimo h infinity design for a dual stage platform using hifoo and hinfstruct. This m-file first creates a linear state-space model of a real experimental motion control platform where two electrical motors are used to rotate a payload around a single (vertical) axis.

Mu-tools based multivariable system identification in matlab

The following Matlab project contains the source code and Matlab examples used for mu-tools based multivariable system identification . Mu-Tools based Multivariable System Identification The Musysid folder contains some useful tools for : - black box MIMO system identification - state space system fitting from a given frequency response - converting frequency response data between the MU-TOOLS Toolbox and the SYSTEM IDENTIFICATION Toolbox formats.

Model predictive control of multi input, multi output (mimo) systems in matlab

The following Matlab project contains the source code and Matlab examples used for model predictive control of multi input, multi output (mimo) systems . These scripts set up and simulate Model Predictive Control of a general Multi-Input, Multi-Output (MIMO) Control system, when the linearized state-space model (or transfer function) is given as input to the functions.

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