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Jintao Wang

4 papers hereh-index 29 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT3
  • cs.NI1
same name
  • Jintao Wang — 34 papers, h 31
  • Jintao Wang — 12 papers, h 5
  • Jintao Wang — 11 papers, h 4
  • Jintao Wang — 10 papers, h 9
  • Jintao Wang — 6 papers, h 6
  • Jintao Wang — 4 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAge Optimum Sampling in Non-Stationary Environment

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IT2024

Age Optimal Sampling for Unreliable Channels under Unknown Channel Statistics

Hongyi He, Haoyue Tang, Jiayu Pan +3

In this paper, we study a system in which a sensor forwards status updates to a receiver through an error-prone channel, while the receiver sends the transmission results back to t…

cs.IT2024

Age of Synchronization Minimization in Wireless Networks with Random Updates and Time-Varying Timeliness Requirement

Yuqiao He, Yuchao Chen, Jintao Wang +1

This study considers a wireless network where multiple nodes transmit status updates to a base station (BS) via a shared, error-free channel with limited bandwidth. The status upda…

cs.NI2023★ 1 cited

Age Optimum Sampling in Non-Stationary Environment

Jinheng Zhang, Haoyue Tang, Jintao Wang +2

In this work, we consider a status update system with a sensor and a receiver. The status update information is sampled by the sensor and then forwarded to the receiver through a c…

cs.IT2023

Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics

Yuchao Chen, Haoyue Tang, Jintao Wang +2

In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process through a channel for remote estimation. The goal is to minimize the mean square error (MSE) at the estimator…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.