Work

Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm

Year: 2024

Type: article

Source: IEEE Journal on Selected Areas in Communications

DOI: 10.1109/jsac.2024.3460078

Authors: Shuhang Zhang, Qingyu Liu, Ke Chen, Boya Di, Hongliang Zhang, Wenhan Yang, Dusit Niyato, Zhu Han, H. Vincent Poor

Institutions: Peng Cheng Laboratory, Peking University, Nanyang Technological University, University of Houston, Princeton University

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Transportation, Natural Science Foundation of Beijing Municipality, Info-communications Media Development Authority, National Science Foundation, United Arab Emirates, Japan Science and Technology Agency, National Key Research and Development Program of China

Awards: G1411206364, G1445420972, G1673558240, Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks, ECCS-EPSRC: NeuroComm: Brain-Inspired Wireless Communications -- From Theoretical Foundations to Implementation for 6G and Beyond, Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks, G590150308, Collaborative Research: CNS Core: Medium: Exploiting New Degrees-of-Freedom in Wireless Networks with Reprogrammable Intelligent Metagratings, G5984988476, FW-HTF-R/Collaborative Research: FAIR4WISE: Future AI and Robotics for Women in Smart Engineering, G7843100178, G8227690725, Excellence in Research: Research Capacity and Partnerships Building in Next-Generation Communication Ecosystems with Vertical Intelligence

OpenAlex ID: W4402774450

FWCI: 9.632

Cites: 35

Cited by: 55

Related to: 10