3 citations · 12 across the 10 of their papers we have counts for
12 papers
Dynamic Quality-Latency Aware Routing for LLM Inference in Wireless Edge-Device Networks
Rui Bao, Nan Xue, Yaping Sun +1
The integration of wireless communications and Large Language Models (LLMs) is poised to unlock ubiquitous intelligent services, yet deploying them in wireless edge-device collabor…
CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
Xuran Liu, Nan Xue, Rui Bao +5
While deploying large language models on edge devices promises low-latency and privacy-preserving AI services, it is hindered by limited device resources. Although pipeline paralle…
Soft Actor-Critic Learning-Based Joint Computing, Pushing, and Caching Framework in MEC Networks
Xiangyu Gao, Yaping Sun, Hao Chen +2
To support future 6G mobile applications, the mobile edge computing (MEC) network needs to be jointly optimized for computing, pushing, and caching to reduce transmission load and…
Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning
Lyutianyang Zhang, Hao Yin, Zhanke Zhou +2
Carrier sensing multiple access/collision avoidance (CSMA/CA) is the backbone MAC protocol for IEEE 802.11 networks. However, tuning the binary exponential back-off (BEB) mechanism…
Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
Yaping Sun, Lyutianyang Zhang, Zhiyong Chen +1
With the advent of the modern mobile traffic, e.g., online gaming, augmented reality delivery and etc., a novel bidirectional computation task model where the input data of each ta…
Bandwidth Gain from Mobile Edge Computing and Caching in Wireless Multicast Systems
Yaping Sun, Zhiyong Chen, Meixia Tao +1
In this paper, we present a novel mobile edge computing (MEC) model where the MEC server has the input and output data of all computation tasks and communicates with multiple cachi…