47 citations · 84 across the 22 of their papers we have counts for
30 papers
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…
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…
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…