1 citations · 1 across the 1 of their papers we have counts for
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From Freshness to Effectiveness: Goal-Oriented Sampling for Remote Decision Making
Aimin Li, Shaohua Wu, Gary C. F. Lee +1
Data freshness, measured by Age of Information (AoI), is highly relevant in networked applications such as Vehicle to Everything (V2X), smart health systems, and Industrial Interne…
Error Floor of ML-Decoded Spinal Codes in the Finite Blocklength Regime
Aimin Li, Shaohua Wu, Xiaomeng Chen +1
Spinal codes is a new family of capacity-achieving rateless codes that has been shown to achieve better rate performance compared to Raptor codes, Strider codes, and rateless Low-D…
Unified Upper Bounds on the ML decoding Error Probability of Spinal Codes over Fading Channels
Aimin Li, Xiaomeng Chen, Shaohua Wu +2
Performance evaluation of particular channel coding has been a significant topic in coding theory, often involving the use of bounding techniques. This paper focuses on the new fam…
Sampling to Achieve the Goal: An Age-aware Remote Markov Decision Process
Aimin Li, Shaohua Wu, Gary C. F. Lee +2
Age of Information (AoI) has been recognized as an important metric to measure the freshness of information. Central to this consensus is that minimizing AoI can enhance the freshn…
Optimal Sampling for Uncertainty-of-Information Minimization in a Remote Monitoring System
Xiaomeng Chen, Aimin Li, Shaohua Wu
In this paper, we study a remote monitoring system where a receiver observes a remote binary Markov source and decides whether to sample and transmit the state through a randomly d…