Integrated spatio-temporal network traffic load model into Cellular Energy Savings RL environment, that was built in OpenAI gym, in order to increase the realism of the environment by 2% and produce realistic savings opportunities across space and time for the simulations.
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• Implemented multiple reinforcement learning(RL) algorithms, and showed relative pros and cons, to solve the above OpenAI gym
• formulation, enhanced with traffic load, in order to demonstrate significant OPEX(power cost) savings, and implicit positive
• environmental impacts for, telecom networks, in simulations
C
Chegg
Computer Science Expert
Delhi, IN-DL, IN
August 2020 - January 2021
D
Digital Info Solutions
Software Development Engineer(Deep Learning)
Delhi, IN-DL, IN
September 2019 - May 2020
Skills
Technical skills
c++python
Skills
Computer Networking Deep learning Machine LearningNetworkingWeb Development