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2021-digital-communications-i

ASK, QAM, PSK, FSK, MSK simulations and analysis.

480-gbps-optical-communication-system

Numerical simulation platform to evaluate the performances of a 480 Gb/s optical coherent communication system using different advanced technologies deployed in optical networks, including MIMO equalization techniques.

a-complete-digital-communication-system

A simulation of a complete digital communication system with different modulation schemes in MATLAB for transmitting and receiving text messages.

actor-critic-based-resource-allocation-for-multimodal-optical-networks

Source code of 2018 GLOBECOM paper named "Actor-Critic-Based Resource Allocation for Multimodal Optical Networks"

antenna-selection-and-beamforming-with-bandb-and-ml

Machine learning accelerated Branch and Bound for Joint beamforming and antenna selection

appcoding

Official implementation of the paper "Application-Layer Coding with Intermittent Feedback Under Delay and Duty-Cycle Constraints"

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/

deep-ee-opt

Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.

deepconvsep

Deep Convolutional Neural Networks for Musical Source Separation

digital-art-with-matlab

drive_simulator

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

fldrl-in-wireless-communication

Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication

hello-world

marlspectrumsharingv2x

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

optimizing_millimeter_wave_communication

Used convex optimization to tune millimetre wave based wireless communication parameters. Replicated the IEEE paper "Multi-Beam Power Allocation for mmWave Communications under Random Blockage"

pa_icc

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

power-control-asilomar

Asilomar 2020 code for Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks

pyriemann

Python machine learning package based on sklearn API for multivariate signal processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

qfnet

《Power Allocation in Multi-cell Networks Using Deep Reinforcement Learning》论文复现

resourceallocationreinforcementlearning

intial version

satcommsystem-qpsk-ofdm-lsestimation-transionosphericchannel

MATLAB Imitation Modeling for the BER of the Satellite Communication System using QPSK and OFDM Modulation with LS Channel Estimation based on Pilot Signals in the Transionospheric Communication Channel with Rician Fading, Multipath, Frequency Selectivity and Limited Coherence Bandwidth

sub6-preds-mmwave

Using sub-6 GHz channels to predict mmWave beams and link blockage.

tinyturbo

Code for "TinyTurbo : Efficient Turbo decoders on Edge" - ISIT 2022

tpc_d2d

Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication

uara

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

wireless_communication_system-hw1-erlangb_formula

Implement Erlang-B formula by Matlab