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08/08/2023
Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles
Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm ...
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07/23/2023
Decentralized Adaptive Formation via Consensus-Oriented Multi-Agent Communication
Adaptive multi-agent formation control, which requires the formation to ...
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07/12/2023
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
Large language models (LLMs) have triggered tremendous success to empowe...
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06/01/2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning
The rapid development of artificial intelligence (AI) over massive appli...
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03/31/2023
AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges
Space-air-ground integrated networks (SAGINs), which have emerged as an ...
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03/23/2023
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Autonomous driving has witnessed incredible advances in the past several...
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02/13/2023
Knowledge Enhanced Semantic Communication Receiver
In recent years, with the rapid development of deep learning and natural...
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11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
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08/18/2022
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Along with the fast development of network technology and the rapid grow...
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01/30/2022
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning
The paper considers independent reinforcement learning (IRL) for multi-a...
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08/20/2021
Semantic Communication with Adaptive Universal Transformer
With the development of deep learning (DL), natural language processing ...
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08/11/2021
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network
Network slicing (NS) management devotes to providing various services to...
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03/24/2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
The paper considers a distributed version of deep reinforcement learning...
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07/03/2020
Learning to Prune in Training via Dynamic Channel Propagation
In this paper, we propose a novel network training mechanism called "dyn...
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04/15/2020
Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation
The cellular internet of things (CIoT) has become an important branch to...
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02/26/2020
On the Capacity of Fractal D2D Social Networks with Hierarchical Communications
The maximum capacity of fractal D2D (device-to-device) social networks w...
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11/15/2019
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile...
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07/24/2019
Secrecy Preserving in Stochastic Resource Orchestration for Multi-Tenancy Network Slicing
Network slicing is a proposing technology to support diverse services fr...
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06/10/2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing
Network slicing promises to provision diversified services with distinct...
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05/10/2019
GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
Network slicing is a key technology in 5G communications system, which a...
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04/26/2019
The Collective Intelligence for Advancing 6G Communications
The fifth-generation cellular networks (5G) has boosted the unprecedente...
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04/26/2019
The Collective Intelligence for Advancing Communications
The fifth-generation cellular networks (5G) has boosted the unprecedente...
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03/01/2019
Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
Collective intelligence is manifested when multiple agents coherently wo...
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11/20/2018
Brain-Inspired Stigmergy Learning
Stigmergy has proved its great superiority in terms of distributed contr...
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10/24/2018
Deep Learning with Long Short-Term Memory for Time Series Prediction
Time series prediction can be generalized as a process that extracts use...
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09/18/2018
Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology
In recent decades, the deployments of cellular networks have been going ...
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09/02/2018
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective
This paper studies the problem of non-cooperative radio resource schedul...
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08/16/2018
Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics
Faced with the ever-increasing trend of the cellular network scale, how ...
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07/17/2018
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
In a software-defined radio access network (RAN), a major challenge lies...
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06/07/2018
AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks
Software Defined Internet of Things (SD-IoT) Networks profits from centr...
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05/30/2018
Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network
Ultra-dense network deployment has been proposed as a key technique for ...
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05/17/2018
Deep Reinforcement Learning for Network Slicing
Network slicing means an emerging business to operators and allows them ...
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11/08/2017
Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory
Traffic prediction plays an important role in evaluating the performance...
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07/10/2017
A Machine Learning Based Intrusion Detection System for Software Defined 5G Network
As an inevitable trend of future 5G networks, Software Defined architect...
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11/28/2012
