activity
20142022
most citedLearning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition

54 citations · 115 across the 15 of their papers we have counts for

collaborators

15 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

Efficient Planar Pose Estimation via UWB Measurements

Haodong Jiang, Wentao Wang, Yuan Shen +4

State estimation is an essential part of autonomous systems. Integrating the Ultra-Wideband(UWB) technique has been shown to correct the long-term estimation drift and bypass the c…

cs.RO2021

Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking

Dafa Ren, Xiaoqiang Ren, Xiaofan Wang +2

Grasping objects in cluttered scenarios is a challenging task in robotics. Performing pre-grasp actions such as pushing and shifting to scatter objects is a way to reduce clutter.…

eess.SP2021★ 6 cited

Low-complexity Distributed Detection with One-bit Memory Under Neyman-Pearson Criterion

Guangyang Zeng, Xiaoqiang Ren, Junfeng Wu

We consider a multi-stage distributed detection scenario, where sensors and a fusion center (FC) are deployed to accomplish a binary hypothesis test. At each time stage, local…

eess.SY2020★ 4 cited

How to Secure Distributed Filters Under Sensor Attacks

Xingkang He, Xiaoqiang Ren, Henrik Sandberg +1

We study how to secure distributed filters for linear time-invariant systems with bounded noise under false-data injection attacks. A malicious attacker is able to arbitrarily mani…

eess.SY2019

Secure distributed filtering for unstable dynamics under compromised observations

Xingkang He, Xiaoqiang Ren, Henrik Sandberg +1

In this paper, we consider a secure distributed filtering problem for linear time-invariant systems with bounded noises and unstable dynamics under compromised observations. A mali…

eess.SY2019★ 3 cited

Secure State Estimation with Byzantine Sensors: A Probabilistic Approach

Xiaoqiang Ren, Yilin Mo, Jie Chen +1

This paper studies static state estimation in multi-sensor settings, with a caveat that an unknown subset of the sensors are compromised by an adversary, whose measurements can be…

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…

cs.IT2017★ 25 cited

Binary Hypothesis Testing with Byzantine Sensors: Fundamental Trade-off Between Security and Efficiency

Xiaoqiang Ren, Jiaqi Yan, Yilin Mo

This paper studies binary hypothesis testing based on measurements from a set of sensors, a subset of which can be compromised by an attacker. The measurements from a compromised s…

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…

eess.SY2016★ 2 cited

Attack Allocation on Remote State Estimation in Multi-Systems: Structural Results and Asymptotic Solution

Xiaoqiang Ren, Junfeng Wu, Subhrakanti Dey +1

This paper considers optimal attack attention allocation on remote state estimation in multi-systems. Suppose there are independent systems, each of which has a remote…

eess.SY2016★ 1 cited

Infinite Horizon Optimal Transmission Power Control for Remote State Estimation over Fading Channels

Xiaoqiang Ren, Junfeng Wu, Karl H. Johansson +2

Jointly optimal transmission power control and remote estimation over an infinite horizon is studied. A sensor observes a dynamic process and sends its observations to a remote est…

eess.SY2015★ 9 cited

Quickest Change Detection in Adaptive Censoring Sensor Networks

Xiaoqiang Ren, Karl H. Johansson, Dawei Shi +1

The problem of quickest change detection with communication rate constraints is studied. A network of wireless sensors with limited computation capability monitors the environment…

eess.SY2014★ 1 cited

Quickest Change Detection with a Censoring Sensor in the Minimax Setting

Xiaoqiang Ren, Jiming Chen, Karl H. Johansson +1

The problem of quickest change detection with a wireless sensor node is studied in this paper. The sensor that is deployed to monitor the environment has limited energy constraint…