47 citations · 198 across the 39 of their papers we have counts for
39 papers
TGPP: Trajectory-Guided Plug-and-Play Priors for Sparse Radio Map Reconstruction
Jiawen Zhang, Zhiyuan Jiang, Sheng Zhou +1
Radio map (RM) reconstruction is essential for environment-aware wireless networks, but practical measurements are often collected along mobility trajectories rather than randomly…
Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach
Heng Zhang, Guangjin Pan, Shugong Xu +2
Network slicing is a critical driver for guaranteeing the diverse service level agreements (SLA) in 5G and future networks. Inter-slice radio resource allocation (IS-RRA) in the ra…
A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning
Heng Zhang, Guangjin Pan, Shugong Xu +2
Network slicing is a critical driver for guaranteeing the diverse service level agreements (SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been wid…
Predictive Wireless Based Status Update for Communication-Agnostic Sampling
Zhiyuan Jiang, Wei Zhang, Zixu Cao +3
In a wireless network that conveys status updates from sources (i.e., sensors) to destinations, one of the key issues studied by existing literature is how to design an optimal sou…
Analyzing Age of Information in Multiaccess Networks by Fluid Limits
Zhiyuan Jiang
In this paper, we adopt the fluid limits to analyze Age of Information (AoI) in a wireless multiaccess network with many users. We consider the case wherein users have heterogeneou…
Round-Robin is Provably Near-Optimal for Minimizing Age with HARQ over Heterogeneous Unreliable Multiaccess Channels
Zhiyuan Jiang
In a heterogeneous unreliable multiaccess network, wherein terminals share a common wireless channel with distinctive error probabilities, existing works have showed that a persist…
Fairness for Freshness: Optimal Age of Information Based OFDMA Scheduling with Minimal Knowledge
Bin Han, Yao Zhu, Zhiyuan Jiang +2
It is becoming increasingly clear that an important task for wireless networks is to minimize the age of information (AoI), i.e., the timeliness of information delivery. While main…
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
Yan Liu, Zhiyuan Jiang, Shunqing Zhang +1
Ultra-Reliable and Low-Latency Communications (URLLC) services in vehicular networks on millimeter-wave bands present a significant challenge, considering the necessity of constant…
Robustness Analysis of Networked Control Systems with Aging Status
Bin Han, Siyu Yuan, Zhiyuan Jiang +2
As an emerging metric of communication systems, Age of Information (AoI) has been derived to have a critical impact in networked control systems with unreliable information links.…
Revealing Much While Saying Less: Predictive Wireless for Status Update
Zhiyuan Jiang, Zixu Cao, Siyu Fu +4
Wireless communications for status update are becoming increasingly important, especially for machine-type control applications. Existing work has been mainly focused on Age of Inf…
Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration
Fei Peng, Zhiyuan Jiang, Shunqing Zhang +1
Real-time status update in future vehicular networks is vital to enable control-level cooperative autonomous driving. Cellular Vehicle-to-Everything (C-V2X), as one of the most pro…
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…
Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update
Jingzhou Sun, Zhiyuan Jiang, Bhaskar Krishnamachari +2
We consider a star-topology wireless network for status update where a central node collects status data from a large number of distributed machine-type terminals that share a wire…
Recursive Optimization of Finite Blocklength Allocation to Mitigate Age-of-Information Outage
Bin Han, Zhiyuan Jiang, Yao Zhu +1
As an emerging metric for the timeliness of information delivery, Age-of-Information (AoI) raises a special interest in the research area of tolerance-critical communications, wher…
Optimal Blocklength Allocation towards Reduced Age of Information in Wireless Sensor Networks
Bin Han, Yao Zhu, Zhiyuan Jiang +2
The freshness or timeliness of data at server is a significant key performance indicator of sensor networks, especially in tolerance critical applications such as factory automatio…
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…
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang +1
Future vehicles will have rich computing resources to support autonomous driving and be connected by wireless technologies. Vehicular fog networks (VeFN) have thus emerged to enabl…
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…
Status from a Random Field: How Densely Should One Update?
Zhiyuan Jiang, Sheng Zhou
In many applications, status information of a general spatial process, in contrast to a point information source, is of interest. In this paper, we consider a system where status i…
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…