5 papers
Pruning-Aware Multi-Cluster Co-Inference for Large AI Models in AI-RANs
Xiaowen Cao, Zhonghao Lyu, Shicheng Chu +6
The increasing scale and computational demands of large artificial intelligence models (LAIMs) present significant challenges for efficient inference in resource-constrained distri…
Channel-Aware Deep Learning for Superimposed Pilot Power Allocation and Receiver Design
Run Gu, Renjie Xie, Wei Xu +2
Superimposed pilot (SIP) schemes face significant challenges in effectively superimposing and separating pilot and data signals, especially in multiuser mobility scenarios with rap…
Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks
Jiacheng Yao, Wei Xu, Guangxu Zhu +2
Task-oriented integrated sensing, communication, and computation (ISCC) is a key technology for achieving low-latency edge inference and enabling efficient implementation of artifi…
A Survey on Integrated Sensing, Communication, and Computation
Dingzhu Wen, Yong Zhou, Xiaoyang Li +3
The forthcoming generation of wireless technology, 6G, aims to usher in an era of ubiquitous intelligent services, where everything is interconnected and intelligent. This vision r…
Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks
Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen +3
Space-air-ground integrated networks (SAGINs) are emerging as a pivotal element in the evolution of future wireless networks. Despite their potential, the joint design of communica…