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06/20/2023
Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework
Semantic-aware communication is a novel paradigm that draws inspiration ...
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06/14/2023
Analysis and Approximate Inference of Large and Dense Random Kronecker Graphs
Random graph models are playing an increasingly important role in scienc...
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05/16/2023
Information Energy Ratio of XOR Logic Gate at Mesoscopic Scale
As the size of transistors approaches the mesoscopic scale, existing ene...
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04/30/2023
MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications
Due to its security, transparency, and flexibility in verifying virtual ...
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04/25/2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach
A digital twin (DT) leverages a virtual representation of the physical w...
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02/01/2023
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
With the rising demand for wireless services and increased awareness of ...
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01/26/2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Real-time machine learning has recently attracted significant interest d...
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10/28/2022
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning
Semantic communication has recently attracted significant interest from ...
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05/20/2022
6G Network AI Architecture for Everyone-Centric Customized Services
Mobile communication standards were developed for enhancing transmission...
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02/08/2022
Rate-Distortion Theory for Strategic Semantic Communication
This paper analyzes the fundamental limit of the strategic semantic comm...
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02/04/2022
Life-long Learning for Reasoning-based Semantic Communication
Semantic communication is an emerging paradigm that focuses on understan...
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02/04/2022
Reasoning on the Air: An Implicit Semantic Communication Architecture
Semantic communication is a novel communication paradigm which draws ins...
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06/29/2021
AdaptiveFog: A Modelling and Optimization Framework for Fog Computing in Intelligent Transportation Systems
Fog computing has been advocated as an enabling technology for computati...
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04/21/2021
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks
With the fast growing demand on new services and applications as well as...
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04/06/2021
Misbehavior Detection in Wi-Fi/LTE Coexistence over Unlicensed Bands
We consider the problem of fair coexistence between LTE and Wi-Fi system...
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03/13/2021
Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
The effective deployment of connected vehicular networks is contingent u...
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01/29/2021
FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems
In this paper, we propose FedChain, a novel framework for federated-bloc...
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12/31/2020
From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems
Existing communication systems are mainly built based on Shannon's infor...
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11/25/2020
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
This paper studies an edge intelligence-based IoT network in which a set...
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10/01/2020
Towards Self-learning Edge Intelligence in 6G
Edge intelligence, also called edge-native artificial intelligence (AI),...
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05/10/2020
BlockRoam: Blockchain-based Roaming Management System for Future Mobile Networks
Mobile service providers (MSPs) are particularly vulnerable to roaming f...
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04/04/2020
Deep Reinforcement Learning for Fog Computing-based Vehicular System with Multi-operator Support
This paper studies the potential performance improvement that can be ach...
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04/04/2020
Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning
Connected vehicular network is one of the key enablers for next generati...
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03/16/2020
A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network
Spatio-temporal modeling of wireless access latency is of great importan...
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02/09/2020
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
A big challenge of person re-identification (Re-ID) using a multi-branch...
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02/06/2020
Capacity-Aware Edge Caching in Fog Computing Networks
This paper studies edge caching in fog computing networks, where a capac...
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02/06/2020
Federated Orchestration for Network Slicing of Bandwidth and Computational Resource
Network slicing has been considered as one of the key enablers for 5G to...
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02/04/2020
Distributed Resource Allocation for Network Slicing of Bandwidth and Computational Resource
Network slicing has been considered as one of the key enablers for 5G to...
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01/28/2020
Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting
This paper studies fog computing systems, in which cloud data centers ca...
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01/28/2020
Distributed Resource Allocation for Network Slicing over Licensed and Unlicensed Bands
Network slicing is considered one of the key enabling technologies for 5...
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01/28/2020
Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet
Tactile Internet is an emerging concept that focuses on supporting high-...
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01/25/2020
Multi-operator Network Sharing for Massive IoT
Recent study predicts that by 2020 up to 50 billion IoT devices will be ...
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03/07/2019