activity
20142022
most citedClassification of Hand Movements from EEG using a Deep Attention-based LSTM Network

205 citations · 325 across the 14 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SP2019★ 1 cited

Cache-Enabled Coordinated Mobile Edge Network: Opportunities and Challenges

Shiwen He, Wei Huang, Jiaheng Wang +3

Cache-enabled coordinated mobile edge network is an emerging network architecture, wherein serving nodes located at the network edge have the capabilities of baseband signal proces…

cs.LG2019★ 205 cited

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network

Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam +2

Classifying limb movements using brain activity is an important task in Brain-computer Interfaces (BCI) that has been successfully used in multiple application domains, ranging fro…

cs.IT2019★ 2 cited

Optimal Pricing for Job Offloading in the MEC System with Two Priority Classes

Lingxiang Li, Marie Siew, Tony Q. S. Quek +1

Multi-Access edge computing (MEC) is an emerging paradigm where users offload computationally intensive jobs to the Access Point (AP). Given that the AP's resources are shared by s…

cs.IT2019

Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission

Shiwen He, Ju Ren, Jiaheng Wang +5

Recently, edge caching and multicasting arise as two promising technologies to support high-data-rate and low-latency delivery in wireless communication networks. In this paper, we…

cs.IT2019★ 1 cited

Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks

Shiwen He, Yongpeng Wu, Ju Ren +3

In this paper, we study the design of a hybrid precoder, consisting of an analog and a digital precoder, for the delivery phase of downlink cache-enabled millimeter wave (mmWave) r…