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1-gradient-descent

Implements gradient descent algorithm for single and multi variable linear regression.

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.

6g-edge-computing-simulation-deployment

Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/

adaptive-streaming

Adaptive streaming of video in a network with multiple helper caches and user nodes

adawhatever

MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.

admm

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

algorithm-for-slice-handover-in-5g-networks

An Algorithm for making handoff decisions in a sliced 5G network

alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-mimo-systems

Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

bac-com-for-6g-ummtc

On the Application of BAC-NOMA to 6G umMTC

blockcoordinatedescent

Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

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

c-hcp

Cluster-Oriented Handover Management Algorithm for 5G Decentralized Heterogeneous Networks: MATLAB Simulation environment

cartpole-dqn

The project for solving cart-pole balancing problem using DQN

channelcapacitysimulation

MIMO信道，AWGN信道，瑞利信道及Aloumati空时码信道容量仿真

cluster_optimization

Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud Resource Allocation and Power Management using Deep Reinforcement Learning" and achieve a good trade-off between power usage and job latency.

codes-for-previous-works

communication-matlab

对通信原理的内容的matlab实现

comparative-simulation-of-non-orthogonal-multiple-access-noma-with-ofdma

IK2560 - MOBILE NETWORKS AND SERVICES

computationoffloadingrl

Matlab project for fairspace

content_caching_with_reinforcement_learning

Code used to simulate the results published in IEEE Xplore paper title: Distributed Caching based on Decentralized Learning Automata

convex-optimization

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

convex-optimization-1

projects of convex optimization course,written in MATLAB

coordinated-handover-optimization-using-deep-learning

Coordinated handover optimization in heterogeneous network scenario using deep learning

courseprojects

Code Sources for some course projects. Documentation update is still incomplete but hopefully it is still understandable. Please contact me for any help!

coverage-analysis-of-multiuser-vlc-networks

This project implements a research paper titled " Coverage-Analysis-of-Multiuser-Visible light Communication-Networks "

crnoma_ddpg

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

cvxpy

A Python-embedded modeling language for convex optimization problems.

d2d_cellular_network_simulator

Simulator used in the study "D2D frequency allocation using GADIA in a cellular network" (Matlab)

d2dcommsimul

This repository includes the idea of effective D2D Communication method using Matching theoretic approach

ddpg

Implimenting DDPG Algorithm in Tensorflow-2.0