4 papers
Reliable Online Resource Allocation for Multi-User Semantic Communications: A Constraint Bayesian Optimization Approach
Huawei Hou, Suzhi Bi, Xian Li +2
Semantic communication has been increasingly integrated into edge computing systems for reconstruction tasks, owing to its advantages in source compression, robustness to channel n…
Task-Oriented Computation Offloading for Edge Inference: An Integrated Bayesian Optimization and Deep Reinforcement Learning Framework
Xian Li, Suzhi Bi, Ying-Jun Angela Zhang
Edge intelligence (EI) allows resource-constrained edge devices (EDs) to offload computation-intensive AI tasks (e.g., visual object detection) to edge servers (ESs) for fast execu…
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
Weiqiang Jiao, Suzhi Bi, Xian Li +3
This paper investigates deploying semantic edge inference systems for performing a common image clarification task. In particular, each system consists of multiple Internet of Thin…
Scalable Multi-task Edge Sensing via Task-oriented Joint Information Gathering and Broadcast
Huawei Hou, Suzhi Bi, Xian Li +3
The recent advance of edge computing technology enables significant sensing performance improvement of Internet of Things (IoT) networks. In particular, an edge server (ES) is resp…