Papers Intelligent Communication
“Intelligent Communication” 태그가 달린 논문 30편 · 필터 해제
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
In Multi-Agent Reinforcement Learning (MARL), specialized channels are often introduced that allow agents to communicate directly with one another. In this paper, we propose an alternative approach whereby agents communi…
Intelligent CommunicationMulti-agent Reinforcement Learningreinforcement-learningReinforcement Learning (RL)Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-Communication
Current strategies for joint radar-communication (JRC) rely on prior knowledge of the communication and radar systems within the vehicle network. In this paper, we propose a framework for intelligent vehicles to conduct …
Autonomous VehiclesDecision Making Under UncertaintyDeep Reinforcement LearningIntelligent Communication+4Theoretical Analysis of Deep Neural Networks in Physical Layer Communication
Recently, deep neural network (DNN)-based physical layer communication techniques have attracted considerable interest. Although their potential to enhance communication systems and superb performance have been validated…
Intelligent CommunicationKnowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm
Traditionally, a communication waveform is designed by experts based on communication theory and their experiences on a case-by-case basis, which is usually laborious and time-consuming. In this paper, we investigate the…
Collaborative FilteringIntelligent CommunicationRepresentation LearningScaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (DL) research has facilitated high-perfor…
Automatic Modulation RecognitionIntelligent Communicationparameter estimationGeneralized Radio Environment Monitoring for Next Generation Wireless Networks
Enabling technologies of 5G and beyond wireless communication networks, such as millimeter-wave communication, beamforming, and multiple-input multiple-output (MIMO) antenna systems, are becoming increasingly dependent o…
Intelligent CommunicationCommunication-Efficient Edge AI Inference Over Wireless Networks
Given the fast growth of intelligent devices, it is expected that a large number of high-stake artificial intelligence (AI) applications, e.g., drones, autonomous cars, tactile robots, will be deployed at the edge of wir…
Distributed ComputingEdge-computingIntelligent CommunicationModel-Driven Deep Learning for Physical Layer Communications
Intelligent communication is gradually considered as the mainstream direction in future wireless communications. As a major branch of machine learning, deep learning (DL) has been applied in physical layer communications…
Deep LearningIntelligent CommunicationmodelA Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning
Human computer interaction facilitates intelligent communication between humans and computers, in which gesture recognition plays a prominent role. This paper proposes a machine learning system to identify dynamic gestur…
BIG-bench Machine LearningGesture RecognitionIntelligent Communication