Beamforming Optimization for Intelligent Reflecting Surface Assisted MISO: A Deep Transfer Learning Approach

Dear all friends

I want to implement in matlab and simulation as the same result in this paper.

-Step 1: implement the system model

-Step 2: implement signal model

-Step 3: coding implement with deep learning algorithm

Here is the paper that I need to implementation.

https://ieeexplore.ieee.org/document/9367008

So can you help me?

Answer 1

[Amit Dhakite]

Hi Senghour,

As per my understanding, you want to implement the system model, signal model and coding implementation using deep learning algorithm as per the attached research paper.

Kindly find the attached resources which will help you start with the implementation:

1. Source blocks such as Signal Generator to generate signals from the user.
2. Channel blocks will simulate the wireless channel between the base station and intelligent reflecting surface.
3. Modulation/demodulation blocks to perform modulation and demodulation operations on the transmitted signals.
4. Beamforming/phase shift blocks to optimize the phase shifts at the IRS side to improve signal quality and reduce power consumption at the BS.
5. Sink/display blocks will display the simulation results such as recieved signal quality.

Furthermore, MATLAB provides several toolboxes that can help you implement coding with a deep learning algorithm:

1. MATLAB Deep Learning Toolbox: It provides a comprehensive set of tools for designing, training and deploying deep neural networks.
2. Communications Toolbox: It provides a set of tools for designing and simulating wireless communication systems.
3. Phased Array System Toolbox: It provides a set of tools for designing and simulating phased array systems such as antenna arrays used in beamforming applications.

For further information, kindly refer to the following links:

1. Signal Generator: https://www.mathworks.com/help/simulink/slref/signalgenerator.html
2. Channel block: https://www.mathworks.com/help/comm/ug/using-awgn-channel-block-for-coded-signals.html
3. Modulator block: https://www.mathworks.com/help/comm/ref/qpskmodulatorbaseband.html
4. Demodulator block: https://www.mathworks.com/help/comm/ref/qpskdemodulatorbaseband.html
5. Phase shift block: https://www.mathworks.com/help/simrf/ref/variablephaseshift.html
6. Display block: https://www.mathworks.com/help/simulink/slref/scope.html
7. Deep learning toolbox: https://www.mathworks.com/products/deep-learning.html
8. Communications toolbox: https://www.mathworks.com/products/communications.html
9. Phased array system toolbox: https://www.mathworks.com/products/phased-array.html

[IMRAN]

Dear all friends

I want to implement in matlab and simulation as the same result in this paper.

-Step 1: implement the system model

-Step 2: implement signal model

-Step 3: coding implement with deep learning algorithm

Here is the paper that I need to implementation.

https://ieeexplore.ieee.org/document/9367008