1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IT2021★ 1 cited
Noise Is Useful: Exploiting Data Diversity for Edge Intelligence
Zhi Zeng, Yuan Liu, Weijun Tang +1
Edge intelligence requires to fast access distributed data samples generated by edge devices. The challenge is using limited radio resource to acquire massive data samples for trai…
cs.IT2020
Data-Importance Aware Radio Resource Allocation: Wireless Communication Helps Machine Learning
Yuan Liu, Zhi Zeng, Weijun Tang +1
The rich mobile data and edge computing enabled wireless networks motivate to deploy artificial intelligence (AI) at network edge, known as \emph{edge AI}, which integrates wireles…
cs.IT2017
Physical Layer Security in Heterogeneous Networks with Jammer Selection and Full-Duplex Users
Weijun Tang, Suili Feng, Yuehua Ding +1
In this paper, we enhance physical layer security for downlink heterogeneous networks (HetNets) by using friendly jammers and full-duplex users. The jammers are selected to transmi…