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06/19/2023
Data-Heterogeneous Hierarchical Federated Learning with Mobility
Federated learning enables distributed training of machine learning (ML)...
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03/08/2023
Enhanced Sliding Window Superposition Coding for Industrial Automation
The introduction of 5G has changed the wireless communication industry. ...
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02/25/2023
MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving
Timely and reliable environment perception is fundamental to safe and ef...
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01/30/2023
SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms
In up-to-date machine learning (ML) applications on cloud or edge comput...
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12/07/2022
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
Federated learning (FL) is a promising approach to enable the future Int...
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11/07/2022
Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks
To facilitate the development of Internet of Things (IoT) services, trem...
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10/27/2022
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Edge intelligence is an emerging paradigm for real-time training and inf...
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07/15/2022
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving
Vehicle-to-Everything (V2X) network has enabled collaborative perception...
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06/03/2022
Multi-user Co-inference with Batch Processing Capable Edge Server
Graphics processing units (GPUs) can improve deep neural network inferen...
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02/17/2022
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
Federated edge learning (FEEL) is a promising distributed machine learni...
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02/12/2022
Online V2X Scheduling for Raw-Level Cooperative Perception
Cooperative perception of connected vehicles comes to the rescue when th...
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09/23/2021
Coded Computation across Shared Heterogeneous Workers with Communication Delay
Distributed computing enables large-scale computation tasks to be proces...
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05/31/2021
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints
Machine learning and wireless communication technologies are jointly fac...
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09/23/2020
Edge Learning with Timeliness Constraints: Challenges and Solutions
Future machine learning (ML) powered applications, such as autonomous dr...
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07/14/2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
In federated learning (FL), devices contribute to the global training by...
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02/20/2020
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
In a vehicular edge computing (VEC) system, vehicles can share their sur...
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02/19/2020
Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
As 5G and Internet-of-Things (IoT) are deeply integrated into vertical i...
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01/28/2020
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
Timely status updating is crucial for future applications that involve r...
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12/25/2019
Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
Beamforming structures with fixed beam codebooks provide economical solu...
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12/03/2019
AI-Assisted Low Information Latency Wireless Networking
The 5G Phase-2 and beyond wireless systems will focus more on vertical a...
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11/03/2019
Device Scheduling with Fast Convergence for Wireless Federated Learning
Owing to the increasing need for massive data analysis and model trainin...
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10/29/2019
Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update
We consider a star-topology wireless network for status update where a c...
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08/13/2019
Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems
Emerging applications in Internet of Things (IoT), such as remote monito...
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06/01/2019
Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter
Timely status updates are crucial to enabling applications in massive In...
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03/09/2019
Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy
With the rapid growth of real-time Internet of Things (IoT) applications...
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03/08/2019
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Deep neural networks (DNNs) are state-of-the-art solutions for many mach...
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03/06/2019
Distributed Policy Learning Based Random Access for Diversified QoS Requirements
Future wireless access networks need to support diversified quality of s...
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02/11/2019
Bi-Directional Mission Offloading for Agile Space-Air-Ground Integrated Networks
Space-air-ground integrated networks (SAGIN) provide great strengths in ...
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02/07/2019
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Future vehicles will have rich computing resources to support autonomous...
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01/16/2019
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
The vehicular edge computing (VEC) system integrates the computing resou...
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12/25/2018
Energy Efficient Massive MIMO through Distributed Precoder Design
This paper presents an energy-efficient downlink precoding scheme with t...
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12/13/2018
A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
Information source sampling and update scheduling have been treated sepa...
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12/04/2018
A Two-Step Learning and Interpolation Method for Location-Based Channel Database
Timely and accurate knowledge of channel state information (CSI) is nece...
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12/04/2018
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation
Channel state information (CSI) is of vital importance in wireless commu...
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12/04/2018
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
In this paper, we propose a learning-based low-overhead beam alignment m...
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12/03/2018
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach
Knowledge of information about the propagation channel in which a wirele...
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07/16/2018
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
In vehicular edge computing (VEC) system, some vehicles with surplus com...
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04/03/2018
Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Vehicular cloud computing (VCC) is proposed to effectively utilize and s...
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03/23/2018
SENATE: A Permissionless Byzantine Consensus Protocol in Wireless Networks
The blockchain technology has achieved tremendous success in open (permi...
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03/22/2018
Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?
In an Internet-of-Things system where status data are collected from sen...
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01/11/2018
Timely Status Update in Massive IoT Systems: Decentralized Scheduling for Wireless Uplinks
In a typical Internet of Things (IoT) application where a central contro...
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12/20/2017
Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals
Deploying massive number of antennas at the base station side can boost ...
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11/29/2017