How to implement optimization functions using MATLAB 5G Toolbox for an 5G communication environment?

I want to implement an 5G communication environment for Users, base stations and SDN controller in it. In this environment, I want to optimize the QoE for the users using constraints as delay and energy and this total optimization function needs to be implemeneted and simulated sing 5G tollbox? Is this possible and if yes then how to do the simulation?

Answer 1

[Harsha Vardhan]

Hi,

I understand that you want to:

1. Create 5G communication environment (users, base station, SDN controller) using the 5G toolbox.
2. Optimize the Quality of Experience (QoE) for users in the 5G environment on constraints such as delay and energy.

This is possible using various toolboxes as discussed below.

Create 5G communication environment using 5G toolbox: The following resources contains documentation, videos and e-books that can help in implementing the 5G communication environment using 5G toolbox:

1. 5G Toolbox - MATLAB: https://www.mathworks.com/products/5g.html
2. 5G New Radio Design with MATLAB - MATLAB & Simulink: https://www.mathworks.com/campaigns/offers/5g-technology-ebook.html

Optimize Quality of Experience (QoE) for users in the 5G environment on constraints such as delay and energy:

1. MATLAB has inbuilt optimization functions that can be used for incorporating optimization methods into the 5G environment. Please refer to the documentation here - https://www.mathworks.com/help/matlab/optimization.html.
2. MATLAB’s Optimization Toolbox can be used to find optimal solutions to continuous and discrete problems, perform trade-off analyses, and incorporate optimization methods into algorithms and applications. Please refer to the documentation here - https://www.mathworks.com/products/optimization.html
3. The Global Optimization Toolbox provides functions that search for global solutions to problems that contain multiple maxima or minima. Please refer to the documentation here - https://www.mathworks.com/products/global-optimization.html
4. Optimization problems can also be solved using Artificial Intelligence (AI) techniques like Machine Learning (Statistics and Machine Learning Toolbox), Deep Learning (Deep Learning Toolbox) and Reinforcement Learning (Reinforcement Learning Toolbox). To use AI for optimization in wireless networks, please refer to the documentation here - https://in.mathworks.com/help/comm/ai-for-wireless.html
5. This is a research paper which implements Quality of Experience (QoE) optimization in 5G networks using MATLAB. Please refer to the link here: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982434.pdf
6. The following file exchange links provide codes where optimization was applied for wireless communications networks using MATLAB. Please note that these codes are not provided officially from MathWorks:

• Linear_Optimization_In_Wireless_Communication_Example - File Exchange - MATLAB Central: https://www.mathworks.com/matlabcentral/fileexchange/97052-linear_optimization_in_wireless_communication_example
• Fractional Gaussian Particle Swarm Optimization for 5G Network - File Exchange - MATLAB Central: https://www.mathworks.com/matlabcentral/fileexchange/58442-fractional-gaussian-particle-swarm-optimization-for-5g-network

Hope this helps in resolving your query!