Profit_Optimization_MEC
Profit_Optimization_MEC
In this project we try to use genetic algorithm to solve decoupled optimization problem of deciding offloading strategy and allocation of radio and computational resources.
New updates: Updated the code files for simulating the paper https://ieeexplore.ieee.org/document/10273406. Code for "Profit Optimization in MEC using genetic algorithm" can be accessed from the last release of the repository.
Use Main_Script_final.m file to get the figure for the comparison of algorithms which is the key result of the paper. Use Main_script_experiment_parameter.m file to generate the figures corresponding to the impact of changes in resource availability on profitability. See the code around "%%Calculating the profits" section and "%% for resource dependency trend" section. Assign the values from vectors ln_vector, B_vector, F_vector to respective variables in different rounds of simulation and also make necessary changes in form of uncommenting/commenting and changing the legend in "%% for resource dependency trend" section of the code.
Similarly, use Main_script_experiment_parameter.m file to get the impact of parameters of evolutionary algorithms on the profitability. See the code around "%%Calculating the profits" section and "%% plotting the results" section.
Cite As
Sumit Singh (2024). Profit_Optimization_MEC (https://github.com/sumit521/Profit_Optimization_MEC/releases/tag/v1.2), GitHub. Retrieved .
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Version | Published | Release Notes | |
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1.2 | See release notes for this release on GitHub: https://github.com/sumit521/Profit_Optimization_MEC/releases/tag/v1.2 |
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1.1 | See release notes for this release on GitHub: https://github.com/sumit521/Profit_Optimization_MEC/releases/tag/v1.1 |
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0.0 |