5 papers
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,…
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…
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…
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…