activity
20232026
most citedToward Resource-Efficient Collaboration of Large AI Models in Mobile Edge Networks

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Memory-Native Non-Terrestrial Networks for Embodied Intelligence

Chengyang Li, Yikun Wang, Jiahui He +6

Non-terrestrial networks (NTN) provide ubiquitous connectivity for embodied intelligence (EI), enabling robots in the wilderness to leverage cloud resources or report critical info…

cs.NI2026★ 4 cited

Toward Resource-Efficient Collaboration of Large AI Models in Mobile Edge Networks

Peichun Li, Liping Qian, Dusit Niyato +2

The collaboration of large artificial intelligence (AI) models in mobile edge networks has emerged as a promising paradigm to meet the growing demand for intelligent services at th…

eess.SY2025

Cooperative Safety Intelligence over V2X Networks: A Survey

Jiaxun Zhang, Qian Xu, Zhenning Li +3

Vehicle-to-Everything (V2X) cooperation is reshaping traffic safety from an ego-centric sensing problem into a networked intelligence problem involving distributed sensing, coopera…

cs.NI2025

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions

Yanghe Pan, Yuntao Wang, Shaolong Guo +4

Semantic communication (SemCom) has the potential to significantly reduce communication delay in vehicle-to-everything (V2X) communications within vehicular networks (VNs). However…

cs.NI2023

Joint 3D Deployment and Resource Allocation for UAV-assisted Integrated Communication and Localization

Suzhi Bi, Jiaxing Yu, Zheyuan Yang +2

In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted integrated communication and localization network in emergency scenarios where a single UAV is deployed as b…