Intelligent Communication

7 papers with code • 0 benchmarks • 4 datasets

Intelligently decide (i) the content of data to be shared/communicated and (ii) the direction in which the chosen data is transmitted.

Most implemented papers

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

allenai/dolma NA 2021

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.

A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning

gauthamkrishna-g/Dynamic-Gesture-Recognition 16 Sep 2018

The system was analyzed from an end-user perspective and was modelled to operate in three modes.

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

Richardzhangxx/PET-CGDNN 11 Oct 2021

Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes.

Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-Communication

joleeson/Directional-JRC IEEE Wireless Communications and Networking Conference (WCNC) 2022

In addition, experimental results show that the trained deep reinforcement learning agents are robust to changes in the number of vehicles in the environment.

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications

liyang619/MAFENN_TRANS_2022 22 May 2022

The design of MAFENN framework and algorithm are dedicated to enhance the learning capability of the feedfoward DL networks or their variations with the simple data feedback.

EMC2-Net: Joint Equalization and Modulation Classification based on Constellation Network

hyun-ryu/emc2net 20 Mar 2023

Modulation classification (MC) is the first step performed at the receiver side unless the modulation type is explicitly indicated by the transmitter.