arifkhaan Goto Github PK

5gwf2020

Source code for the paper "Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach" by B. Galkin, R. Amer, E. Fonseca, and L.A. DaSilva, published in the IEEE 5G World Forum, September 2020.

aerial-ris

Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel Benevides da Costa, and Zygmunt J. Haas, "Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems," IEEE PIMRC, 2021

ai-powered-5g-openran-optimizer

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

anuditverma

anuditverma.github.io

Anudit Verma's blog:

arif.github.io

Your new Jekyll default theme

arif1.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

arifkhaan.github.io

This repository is modified from beautiful-jekyll theme.

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

awesome-cv

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

awsome-list-of-cv-and-resume-templetes

a collection of cv and resume styles

cell-free-survey

channel-estimation-for-intelligent-reflecting-surface-assisted-multiuser-communications

This code is for the paper Z. Wang, L. Liu, and S. Cui, "Channel estimation for intelligent reflecting surface assisted multiuser communications: framework, algorithms, and analysis," IEEE Trans. Wireless Commun., vol. 19, no. 10, pp. 6607-6620, Oct. 2020.

channel-estimation-ofdm-

-Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) performance. The estimators employed in the simulation are LS and MMSE estimators and their performance in the transfer domain was evaluated. MATLAB was used for the simulation of the communication link and analyzing the error between the estimated channel parameters and actual modeled channel parameters.

channelestimation-ris-mummwave-mimo-systems

TWC: Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems

channelprediction

This project is to simulation in the paper "An Adaptive and Parameter-Free Recurrent Neural Structure for Wireless Channel Prediction"

chiranjibsaha.github.io

competitive-cell-free

Simulation code for “Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Wireless Communications, To appear

coverage-and-rate-cv2x

d2d-network-in-mmwave-band

This MATLAB code simulates a PPP wireless communication in the millimeter wave band (@28 GHz)

daattali.github.io

Dean Attali's website - R/Shiny Consultant

deep-learning-paper-for-ofdm-communication

应用深度学习到OFDM通信系统中的论文文献汇总

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_mimo-noma

Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.

deepsic

Data-driven implementaion of soft iterative interference cancellation for MIMO detection

devopicons

Heavily-optimised version of the Devicons icon-font.

digitalcomm

Teaching material for Digital Communications

dl-hybrid-precoder

Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

downlink-and-uplink-cellular-network-analysis-using-stochastic-geometry

Modelling of Base stations using a homogeneous Poisson point process. Computation of Signal to Noise and Interference ratio (SINR) and Coverage probability for downlink and uplink scenarios

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。