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followers: 7.0 following: 14.0 repos: 38.0 gists: 0.0

Name: Ibrahim Elgendy

Type: User

Company: Menoufia University

Bio: I'm an Assistant Professor in the Computer Science Department. My research interests include cloud and edge computing, Internet of Things, and Machine Learning.

Location: Menoufia, Egypt

Ibrahim Elgendy's Projects

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

book-resource-allocation icon book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

crnoma_ddpg icon crnoma_ddpg

A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems

ddlo icon ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

droo icon droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

dsnd_term1 icon dsnd_term1

Contains files related to content and project of DSND

edgesim-1 icon edgesim-1

Simulate the real environment, perform edge computing, edge caching experiments

energy_consumption_in_mu_mimo_with_mobility icon energy_consumption_in_mu_mimo_with_mobility

This code computes the energy consumption in the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model.

hithesis icon hithesis

嗨!thesis!哈尔滨工业大学毕业论文LaTeX模板

how-energy-efficient icon how-energy-efficient

Simulation code for “How Energy-Efficient Can a Wireless Communication System Become?” by Emil Björnson, Erik G. Larsson, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018.

java-reinforcement-learning icon java-reinforcement-learning

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

mec_drl icon mec_drl

Deep reinforcement learning for mobile edge computing

metaheuristicopt icon metaheuristicopt

:exclamation: This is a read-only mirror of the CRAN R package repository. metaheuristicOpt — Metaheuristic for Optimization

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