1.3k citations · 1.7k across the 17 of their papers we have counts for
8 papers · 1 filter
D3PG: Dirichlet DDPG for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing
Laha Ale, Scott A. King, Ning Zhang +2
Mobile Edge Computing (MEC) has been regarded as a promising paradigm to reduce service latency for data processing in the Internet of Things, by provisioning computing resources a…
Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities
Laha Ale, Ning Zhang, Scott A. King +1
A smart city improves operational efficiency and comfort of living by harnessing techniques such as the Internet of Things (IoT) to collect and process data for decision making. To…
Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning
Laha Ale, Ning Zhang, Xiaojie Fang +3
Internet of Things (IoT) is considered as the enabling platform for a variety of promising applications, such as smart transportation and smart city, where massive devices are inte…
LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with Online Initialization
Shengkai Zhang, Wei Wang, Ning Zhang +1
The advances in agile micro aerial vehicles (MAVs) have shown great potential in replacing humans for labor-intensive or dangerous indoor investigation, such as warehouse managemen…
Topology Learning Aided False Data Injection Attack without Prior Topology Information
Martin Higgins, Jiawei Zhang, Ning Zhang +1
False Data Injection (FDI) attacks against powersystem state estimation are a growing concern for operators.Previously, most works on FDI attacks have been performedunder the assum…
Attributed Graph Alignment
Ning Zhang, Ziao Wang, Weina Wang +1
Motivated by various data science applications including de-anonymizing user identities in social networks, we consider the graph alignment problem, where the goal is to identify t…
Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission
Tianming Feng, Shuo Shi, Shushi Gu +3
The large amount of deployed smart devices put tremendous traffic pressure on networks. Caching at the edge has been widely studied as a promising technique to solve this problem.…
New Upper Bounds on the Error Probability under ML Decoding for Spinal Codes and the Joint Transmission-Decoding System Design
Aimin Li, Shaohua Wu, Jian Jiao +2
Spinal codes are a type of capacity-achieving rateless codes that have been proved to approach the Shannon capacity over the additive white Gaussian noise (AWGN) channel and the bi…