5 citations · 8 across the 9 of their papers we have counts for
9 papers
A QoE-Aware Split Inference Accelerating Algorithm for NOMA-based Edge Intelligence
Xin Yuan, Ning Li, Quan Chen +3
Even the AI has been widely used and significantly changed our life, deploying the large AI models on resource limited edge devices directly is not appropriate. Thus, the model spl…
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence
Xin Yuan, Ning Li, kang Wei +4
The edge intelligence (EI) has been widely applied recently. Spliting the model between device, edge server, and cloud can improve the performance of EI greatly. The model segmenta…
High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing
Xin Yuan, Ning Li, Tuo Zhang +4
Splitting the inference model between device, edge server, and cloud can improve the performance of EI greatly. Additionally, the non-orthogonal multiple access (NOMA), which is th…
FODT: Fast, Online, Distributed and Temporary Failure Recovery Approach for MEC
Xin Yuan, Ning Li, Jose Fernan Martinez
Mobile edge computing (MEC) can reduce the latency of cloud computing successfully. However, the edge server may fail due to the hardware of software issues. When the edge server f…
CoNet: Borderless and decentralized server cooperation in edge computing
Ning Li, Xin Yuan, Zhaoxin Zhang +1
In edge computing (EC), by offloading tasks to edge server or remote cloud, the system performance can be improved greatly. However, since the traffic distribution in EC is heterog…
Pairwise-based Multi-Attribute Decision Making Approach for Wireless Network
Ning Li, Jianen Yan, Zhaoxin Zhang +2
In the wireless network applications, such as routing decision, network selection, etc., the Multi-Attribute Decision Making (MADM) has been widely used. The MADM approach can addr…
Geographical and Topology Control based Opportunistic Routing for Ad Hoc Networks
Ning Li, Zhaoxin Zhang, Jose-Fernan Martinez-Ortega +1
The opportunistic routing has great advantages on improving packet delivery probability between the source node and candidate forwarding set. For improving and reducing energy cons…
The Network-based Candidate Forwarding Set Optimization Approach for Opportunistic Routing in Wireless Sensor Network
Ning Li, Alex X. Liu, Jose-Fernan Martinez-Ortega +2
In wireless sensor networks (WSNs), the opportunistic routing has better performances on packet delivery probability than the deterministic routing. For reducing the transmission d…
Game Theory based Joint Task Offloading and Resources Allocation Algorithm for Mobile Edge Computing
Jianen Yan, Ning Li, Zhaoxin Zhang +3
Mobile edge computing (MEC) has emerged for reducing energy consumption and latency by allowing mobile users to offload computationally intensive tasks to the MEC server. Due to th…