activity
20162022
most citedLearning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition

54 citations · 114 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2022★ 2 cited

Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels

Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia +2

Age-of-Information (AoI) is a critical metric for network applications. Existing works mostly address optimization with homogeneous AoI requirements, which is different from practi…

cs.RO2022

Learning Bifunctional Push-grasping Synergistic Strategy for Goal-agnostic and Goal-oriented Tasks

Dafa Ren, Shuang Wu, Xiaofan Wang +2

Both goal-agnostic and goal-oriented tasks have practical value for robotic grasping: goal-agnostic tasks target all objects in the workspace, while goal-oriented tasks aim at gras…

eess.SY2019★ 8 cited

Max-Min Fair Sensor Scheduling: Game-theoretic Perspective and Algorithmic Solution

Shuang Wu, Xiaoqiang Ren, Yiguang Hong +1

We consider the design of a fair sensor schedule for a number of sensors monitoring different linear time-invariant processes. The largest average remote estimation error among all…

eess.SY2018★ 54 cited

Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition

Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia +2

We consider optimal sensor scheduling with unknown communication channel statistics. We formulate two types of scheduling problems with the communication rate being a soft or hard…

eess.SY2018★ 50 cited

Optimal Scheduling of Multiple Sensors over Lossy and Bandwidth Limited Channels

Shuang Wu, Kemi Ding, Peng Cheng +1

This work considers the sensor scheduling for multiple dynamic processes. We consider linear dynamic processes, the state of each process is measured by a sensor, which transmi…

eess.SY2016

Optimal Scheduling of Multiple Sensors with Packet Length Constraint

Shuang Wu, Xiaoqiang Ren, Subhrakanti Dey +1

This paper considers the problem of sensory data scheduling of multiple processes. There are independent linear time-invariant processes and a remote estimator monitoring all t…