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5g-and-new-data-offloading-scheme-over-d2d

The idea of offloading 5G cellular data over WiFi is becoming very popular nowadays. Offloading data over active WiFi connection in Handsets may reduce the dependency on small cells in our environment, reduces the traffic at the Base Transceiver Station (BTS) and reduces the cost of setting up 5G infrastructure. Furthermore, offloading over WiFi does not compromise the 5G speed that is the huge amount of 5G data can be offloaded over WiFi connection in Handsets with the speed promised by the 5G cellular network. Many published paper suggested “delayed offloading” in which traffic will be delayed up to an allowed deadline if the WiFi connection is inactive or until the WiFi connection again becomes available. In this paper, we proposed a routing scheme for offloading 5G cellular data where the data at a user’s handset will first collect in WiFi queue to offload over WiFi and if the WiFi connection is inactive in the user’s handset then the data will wait in the queue for a given deadline and while it waits in the WiFi queue, the user’s handset will try to set up a device to device (D2D) connection with a neighboring handset with an active WiFi connection. When the deadline will reach for the data in the WiFi queue, the user data will be sent to the neighboring handset which has an active WiFi connection and which will allow the user’s data to be offloaded through it, otherwise, if no handset with an active WiFi connection is found in the environment, after the deadline the data will be sent in the typical gruesome manner to the BTS through several small cells.

a-dynamic-programming-offloading-algorithm-for-mobile-cloud-computing

A Dynamic Programming Offloading Algorithm for Mobile Cloud Computing

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-federated-learning

A curated list of resources dedicated to federated learning.

bsca

Matlab code for block successive convex approximation algorithms

caching-software-defined-cache

cloud_computing_offloading

ACO plus Lagrange; NP problem.

codexplorerepo

convex-optimization

A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments

crnoma_ddpg

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

cvxquad

Implementation in MATLAB-based CVX of a various convex/concave functions of matrices (matrix geometric means, quantum relative entropy, ...)

d2l-vn

Bản dịch cuốn sách "Dive into Deep Learning"

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

deep-reinforcement-learning-for-mec

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

droo

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

dual-based-ultra-dense-networks-optimation

A Dynamic Graph-Based Scheduling and Interference Coordination Approach in Heterogeneous Cellular Networks中的对偶方法，在与作者（周力，[email protected]）邮件交流后，作者分享的。

edge-computing-codes

Implementation of Edge Computing papers.

edgecloudsim

EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

edgeoffloadsim

sim offloading in edge

fairness-and-sum-rate-maximization-via-joint-subcarrier-and-power-allocation-in-uplink-scma-transmis

Code for the joint power and subcarrier allocation algorithm for sum rate and fairness maximization in SCMA uplink transmission (link to the paper https://ieeexplore.ieee.org/document/8836645)

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

free-ai-resources

🧠 Free AI Resources for everyone

gametheory-final-project

harris-hawks-optimization-algorithm-and-applications-

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

harris-hawks-optimization-hho---python-code

Harris Hawks Optimization (HHO) - Python Code

hcfl-compression

homepage-project-overview

Overview homepage for this project

hpc-dashboard

implementation_of_mec_papers

Implementation of submitted papers about Mobile Edge Computing (MEC).