1 citations · 1 across the 1 of their papers we have counts for
5 papers
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…
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…
EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks
Jiahong Ning, Pengyan Zhu, Ce Zheng +3
As sixth-generation (6G) networks advance, large language models (LLMs) are increasingly integrated into 6G infrastructure to enhance network management and intelligence. However,…
Lyapunov-guided Deep Reinforcement Learning for Semantic-aware AoI Minimization in UAV-assisted Wireless Networks
Yusi Long, Shimin Gong, Sumei Sun +3
This paper investigates an unmanned aerial vehicle (UAV)-assisted semantic network where the ground users (GUs) periodically capture and upload the sensing information to a base st…
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…