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09/16/2023
CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
Diffusion models (DM) can gradually learn to remove noise, which have be...
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08/23/2023
Hierarchical Beam Alignment for Millimeter-Wave Communication Systems: A Deep Learning Approach
Fast and precise beam alignment is crucial for high-quality data transmi...
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05/16/2023
Fusion-Based Multi-User Semantic Communications for Wireless Image Transmission over Degraded Broadcast Channels
Degraded broadcast channels (DBC) are a typical multi-user communication...
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05/16/2023
CDDM: Channel Denoising Diffusion Models for Wireless Communications
Diffusion models (DM) can gradually learn to remove noise, which have be...
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05/04/2023
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization
Vertical federated learning (FL) is a collaborative machine learning fra...
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04/19/2023
Cooperative Multi-Cell Massive Access with Temporally Correlated Activity
This paper investigates the problem of activity detection and channel es...
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01/15/2023
Applicable Regions of Spherical and Plane Wave Models for Extremely Large-Scale Array Communications
Extremely large-scale array (XL-array) communications can significantly ...
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01/10/2023
Joint Hybrid Beamforming and User Scheduling for Multi-Satellite Cooperative Networks
In this paper, we consider a cooperative communication network where mul...
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01/10/2023
A Fundamental Tradeoff Among Storage, Computation, and Communication for Distributed Computing over Star Network
Coded distributed computing can alleviate the communication load by leve...
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01/08/2023
Characteristics of Channel Eigenvalues and Mutual Coupling Effects for Holographic Reconfigurable Intelligent Surfaces
As a prospective key technology for the next-generation wireless communi...
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10/24/2022
Message Passing-Based Joint User Activity Detection and Channel Estimation for Temporally-Correlated Massive Access
This paper studies the temporally-correlated massive access system where...
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10/19/2022
Effective Capacity of URLLC over Parallel Fading Channels with Imperfect Channel State Information
This paper investigates the effective capacity of a point-to-point ultra...
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09/19/2022
Encrypted Semantic Communication Using Adversarial Training for Privacy Preserving
Semantic communication is implemented based on shared background knowled...
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09/02/2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning
As an edge intelligence algorithm for multi-device collaborative trainin...
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08/11/2022
Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems
In learning-based semantic communications, neural networks have replaced...
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06/28/2022
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach
One of the main focuses in distributed learning is communication efficie...
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05/26/2022
Ergodic Capacity Maximization of RIS-assisted Millimeter-Wave MIMO-OFDM Communication Systems
Reconfigurable intelligent surface (RIS) has attracted extensive attenti...
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05/26/2022
Hybrid Spherical- and Planar-Wave Channel Modeling and Estimation for Terahertz Integrated UM-MIMO and IRS Systems
Integrated ultra-massive multiple-input multiple-output (UM-MIMO) and in...
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05/16/2022
Double-Sided Information Aided Temporal-Correlated Massive Access
This letter considers temporal-correlated massive access, where each dev...
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04/30/2022
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
Existing deep learning-enabled semantic communication systems often rely...
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02/14/2022
RIS-assisted Millimeter-Wave MIMO Communication Systems: Ergodic Capacity Analysis and Optimization
Reconfigurable intelligent surfaces (RISs) have emerged as a prospective...
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02/14/2022
Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-aided mmWave MIMO Systems
This paper considers a reconfigurable intelligent surface (RIS)-aided mi...
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01/25/2021
Two-Way Passive Beamforming Design for RIS-Aided FDD Communication Systems
Reconfigurable intelligent surfaces (RISs) are able to provide passive b...
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01/25/2021
Joint Design of Hybrid Beamforming and Phase Shifts in RIS-Aided mmWave Communication Systems
This paper considers a reconfigurable intelligent surface (RIS)-aided mi...
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01/21/2021
Rate Region for Indirect Multiterminal Source Coding in Federated Learning
One of the main focus in federated learning (FL) is the communication ef...
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01/03/2021
Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity
This paper considers the massive connectivity problem in an asynchronous...
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04/29/2020
Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication
A multi-cell mobile edge computing network is studied, in which each use...
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03/04/2020
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels
To enable communication-efficient federated learning, fast model aggrega...
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02/14/2020
Mobile Communications, Computing and Caching Resources Optimization for Coded Caching with Device Computing
Edge caching and computing have been regarded as an efficient approach t...
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02/14/2020
Degrees of Freedom of Cache-Aided Wireless Cellular Networks
This work investigates the degrees of freedom (DoF) of a downlink cache-...
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01/12/2020
Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
This paper investigates learning-based caching in small-cell networks (S...
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08/19/2019
Heterogeneous Coded Distributed Computing: Joint Design of File Allocation and Function Assignment
This paper studies the computation-communication tradeoff in a heterogen...
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08/19/2019
Modeling, Analysis, and Optimization of Caching in Multi-Antenna Small-Cell Networks
In traditional cache-enabled small-cell networks (SCNs), a user can suff...
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04/16/2019
Content Caching and Delivery in Wireless Radio Access Networks
Today's mobile data traffic is dominated by content-oriented traffic. Ca...
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03/26/2019
Exploiting Computation Replication for Mobile Edge Computing: A Fundamental Computation-Communication Tradeoff Study
Existing works on task offloading in mobile edge computing (MEC) network...
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01/23/2019
Bandwidth Gain from Mobile Edge Computing and Caching in Wireless Multicast Systems
In this paper, we present a novel mobile edge computing (MEC) model wher...
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12/16/2018
User-Centric Joint Access-Backhaul Design for Full-Duplex Self-Backhauled Wireless Networks
Full-duplex self-backhauling is promising to provide cost-effective and ...
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10/26/2018
Optimal Offloading and Resource Allocation in Mobile-Edge Computing with Inter-user Task Dependency
Mobile-edge computing (MEC) has recently emerged as a cost-effective par...
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07/15/2018
Modeling and Trade-off for Mobile Communication, Computing and Caching Networks
Computation task service delivery in a computing-enabled and caching-aid...
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07/06/2018
Energy and Latency Control for Edge Computing in Dense V2X Networks
This study focuses on edge computing in dense millimeter wave vehicle-to...
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07/04/2018
Treating Content Delivery in Multi-Antenna Coded Caching as General Message Sets Transmission: A DoF Region Perspective
Coded caching can create coded multicasting thus significantly accelerat...
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06/23/2018
Edge and Central Cloud Computing: A Perfect Pairing for High Energy Efficiency and Low-latency
In this paper, we study the coexistence and synergy between edge and cen...
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06/23/2018
Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff
Virtual reality (VR) over wireless is emerging as an important use case ...
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05/29/2018
The Role of Caching in Future Communication Systems and Networks
This paper has the following ambitious goal: to convince the reader that...
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05/09/2018
Fundamental Limits of Decentralized Caching in Fog-RANs with Wireless Fronthaul
This paper aims to characterize the synergy of distributed caching and w...
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04/27/2018
Communication, Computing and Caching for Mobile VR Delivery: Modeling and Trade-off
Mobile virtual reality (VR) delivery is gaining increasing attention fro...
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03/13/2018
Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching
Proactive caching is an effective way to alleviate peak-hour traffic con...
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12/19/2017
Exploiting Tradeoff Between Transmission Diversity and Content Diversity in Multi-Cell Edge Caching
Caching in multi-cell networks faces a well-known dilemma, i.e., to cach...
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12/05/2017
Joint Base Station Clustering and Beamforming for Non-Orthogonal Multicast and Unicast Transmission with Backhaul Constraints
The demand for providing multicast services in cellular networks is cont...
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10/18/2007
