38 citations · 87 across the 11 of their papers we have counts for
11 papers
Joint Transmission and Control in a Goal-oriented NOMA Network
Kunpeng Liu, Shaohua Wu, Aimin Li +1
Goal-oriented communication shifts the focus from merely delivering timely information to maximizing decision-making effectiveness by prioritizing the transmission of high-value in…
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…
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…
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…
Goal-oriented Tensor: Beyond Age of Information Towards Semantics-Empowered Goal-Oriented Communications
Aimin Li, Shaohua Wu, Sumei Sun +1
Optimizations premised on open-loop metrics such as Age of Information (AoI) indirectly enhance the system's decision-making utility. We therefore propose a novel closed-loop metri…
Goal-oriented Tensor: Beyond AoI Towards Semantics-Empowered Goal-oriented Communications
Aimin Li, Shaohua Wu, Sumei Sun
The intricate interplay of source dynamics, unreliable channels, and staleness of information has long been recognized as a significant impediment for the receiver to achieve accur…
Tight Upper Bounds on the Error Probability of Spinal Codes over Fading Channels
Xiaomeng Chen, Aimin Li, Shaohua Wu
Spinal codes, a family of rateless codes introduced in 2011, have been proved to achieve Shannon capacity over both the additive white Gaussian noise (AWGN) channel and the binary…
Deep Reinforcement Learning-Assisted Age-optimal Transmission Policy for HARQ-aided NOMA Networks
Kunpeng Liu, Aimin Li, Shaohua Wu
The recent interweaving of AI-6G technologies has sparked extensive research interest in further enhancing reliable and timely communications. \emph{Age of Information} (AoI), as a…
Towards Goal-Oriented Semantic Communications: New Metrics, Framework, and Open Challenges
Aimin Li, Shaohua Wu, Siqi Meng +3
Since Shannon's pioneering masterpiece which established the prototype of modern information theory, the goal of communications has long been promising accurate message reconstruct…
Age of Information with Hybrid-ARQ: A Unified Explicit Result
Aimin Li, Shaohua Wu, Jian Jiao +2
Delivering timely status updates in a timeliness-critical communication system is of paramount importance to assist accurate and efficient decision making. Therefore, the topic of…
New Upper Bounds on the Error Probability under ML Decoding for Spinal Codes and the Joint Transmission-Decoding System Design
Aimin Li, Shaohua Wu, Jian Jiao +2
Spinal codes are a type of capacity-achieving rateless codes that have been proved to approach the Shannon capacity over the additive white Gaussian noise (AWGN) channel and the bi…