172 citations · 1.4k across the 82 of their papers we have counts for
49 papers · 1 filter
A Grouping-based Scheduler for Efficient Channel Utilization under Age of Information Constraints
Lehan Wang, Jingzhou Sun, Yuxuan Sun +2
We consider a status information updating system where a fusion center collects the status information from a large number of sources and each of them has its own age of informatio…
Age of Information Guaranteed Scheduling for Asynchronous Status Updates in Collaborative Perception
Lehan Wang, Jingzhou Sun, Yuxuan Sun +2
We consider collaborative perception (CP) systems where a fusion center monitors various regions by multiple sources. The center has different age of information (AoI) constraints…
Enhanced Sliding Window Superposition Coding for Industrial Automation
Bohang Zhang, Zhaoujun Nan, Sheng Zhou +1
The introduction of 5G has changed the wireless communication industry. Whereas previous generations of cellular technology are mainly based on communication for people, the wirele…
Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks
Xiaoyang Li, Yi Gong, Kaibin Huang +1
To facilitate the development of Internet of Things (IoT) services, tremendous IoT devices are deployed in the wireless network to collect and pass data to the server for further p…
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
Yuxuan Sun, Sheng Zhou, Zhisheng Niu +1
Federated edge learning (FEEL) is a promising distributed machine learning (ML) framework to drive edge intelligence applications. However, due to the dynamic wireless environments…
Online V2X Scheduling for Raw-Level Cooperative Perception
Yukuan Jia, Ruiqing Mao, Yuxuan Sun +2
Cooperative perception of connected vehicles comes to the rescue when the field of view restricts stand-alone intelligence. While raw-level cooperative perception preserves most in…
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
Wenqi Shi, Sheng Zhou, Zhisheng Niu +2
In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication res…
Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
Xi Zheng, Sheng Zhou, Zhisheng Niu
As 5G and Internet-of-Things (IoT) are deeply integrated into vertical industries such as autonomous driving and industrial robotics, timely status update is crucial for remote mon…
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
Xi Zheng, Sheng Zhou, Zhisheng Niu
Timely status updating is crucial for future applications that involve remote monitoring and control, such as autonomous driving and Industrial Internet of Things (IIoT). Age of In…
Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
Ruichen Deng, Sheng Chen, Sheng Zhou +2
Beamforming structures with fixed beam codebooks provide economical solutions for millimeter wave (mmWave) communications due to the low hardware cost. However, the training overhe…
AI-Assisted Low Information Latency Wireless Networking
Zhiyuan Jiang, Siyu Fu, Sheng Zhou +3
The 5G Phase-2 and beyond wireless systems will focus more on vertical applications such as autonomous driving and industrial Internet-of-things, many of which are categorized as u…
Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems
Xi Zheng, Sheng Zhou, Zhisheng Niu
Emerging applications in Internet of Things (IoT), such as remote monitoring and control, extensively rely on timely status updates. Age of Information (AoI) has been proposed to c…
Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter
Xi Zheng, Sheng Zhou, Zhiyuan Jiang +1
Timely status updates are crucial to enabling applications in massive Internet of Things (IoT). This paper measures the data-freshness performance of a status update system with an…
Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy
Jingzhou Sun, Zhiyuan Jiang, Sheng Zhou +1
With the rapid growth of real-time Internet of Things (IoT) applications, the need for fresh information has surged. Age of Information (AoI) is a tailor-made metric to characteriz…
Distributed Policy Learning Based Random Access for Diversified QoS Requirements
Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu
Future wireless access networks need to support diversified quality of service (QoS) metrics required by various types of Internet-of-Things (IoT) devices, e.g., age of information…
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song +4
The vehicular edge computing (VEC) system integrates the computing resources of vehicles, and provides computing services for other vehicles and pedestrians with task offloading. H…
A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu +1
Information source sampling and update scheduling have been treated separately in the context of real-time status update for age of information optimization. In this paper, a unifi…
A Two-Step Learning and Interpolation Method for Location-Based Channel Database
Ruichen Deng, Zhiyuan Jiang, Sheng Zhou +2
Timely and accurate knowledge of channel state information (CSI) is necessary to support scheduling operations at both physical and network layers. In order to support pilot-free c…
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation
Zhiyuan Jiang, Ziyan He, Sheng Chen +3
Channel state information (CSI) is of vital importance in wireless communication systems. Existing CSI acquisition methods usually rely on pilot transmissions, and geographically s…
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
Sheng Chen, Zhiyuan Jiang, Sheng Zhou +1
In this paper, we propose a learning-based low-overhead beam alignment method for vehicle-to-infrastructure communication in vehicular networks. The main idea is to remotely infer…
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach
Zhiyuan Jiang, Sheng Chen, Andreas F. Molisch +3
Knowledge of information about the propagation channel in which a wireless system operates enables better, more efficient approaches for signal transmissions. Therefore, channel st…
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
Yuxuan Sun, Jinhui Song, Sheng Zhou +2
In vehicular edge computing (VEC) system, some vehicles with surplus computing resources can provide computation task offloading opportunities for other vehicles or pedestrians. Ho…
Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Yuxuan Sun, Xueying Guo, Sheng Zhou +3
Vehicular cloud computing (VCC) is proposed to effectively utilize and share the computing and storage resources on vehicles. However, due to the mobility of vehicles, the network…
SENATE: A Permissionless Byzantine Consensus Protocol in Wireless Networks
Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou +1
The blockchain technology has achieved tremendous success in open (permissionless) decentralized consensus by employing proof-of-work (PoW) or its variants, whereby unauthorized no…