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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

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11 papers · 1 filter

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…

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…

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…