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  • 👋 Hi, I’m Mahfuzur Rahman, a graduate student, pursuing my PhD in Electrical Engineering at Virginia Tech, VA, USA
  • 👀 I’m interested in Wireless communication, especially in the domain of 5G, 6G/Non-Terrestrial Network (NTN)
  • 🌱 I’m currently learning ...What are the challenges in 5G/6G/NTN and trying develop ways to mitigate those challeges.
  • 💞️ I’m looking to collaborate on 5G, 6G Non-Terrestrial Network
  • 📫 How to reach me ... [email protected]

Mahfuzur Rahman's Projects

5g-nr-lte-sidelink-capacity-estimator icon 5g-nr-lte-sidelink-capacity-estimator

This tool computes the expected link capacity in data rate (Mbit/s) for sidelink considering 5G New Radio (NR) and Long Term Evolution (LTE) communication standards, as defined by The 3rd Generation Partnership Project (3GPP). Users can input the respective configuration parameters and evaluate the resulting capacity.

apollo icon apollo

An open autonomous driving platform

atlas icon atlas

Atlas: Automate Online Service Configuration in Network Slicing

bts_research icon bts_research

基于 SDR 开源方案& 商业授权方案 实现 2-5G 安全研究的一些资源整合

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning-for-5g-networks icon deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

deepreinforcementlearning icon deepreinforcementlearning

Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

deepslicing icon deepslicing

Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

dhillon icon dhillon

MATLAB codes for the paper "3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network".

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