activity
20142019
most citedLearn to Sense: a Meta-learning Based Sensing and Fusion Framework for Wireless Sensor Networks

31 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2019★ 31 cited

Learn to Sense: a Meta-learning Based Sensing and Fusion Framework for Wireless Sensor Networks

Hui Wu, Zhaoyang Zhang, Chunxu Jiao +2

Wireless sensor networks (WSN) acts as the backbone of Internet of Things (IoT) technology. In WSN, field sensing and fusion are the most commonly seen problems, which involve coll…

eess.SP2019★ 1 cited

MmWave Communication With Active Ambient Perception

Chunxu Jiao, Zhaoyang Zhang, Caijun Zhong +2

In existing communication systems, the channel state information of each UE (user equipment) should be repeatedly estimated when it moves to a new position or another UE takes its…

eess.SP2017★ 1 cited

Performance Evaluation of Channel Decoding With Deep Neural Networks

Wei Lyu, Zhaoyang Zhang, Chunxu Jiao +2

With the demand of high data rate and low latency in fifth generation (5G), deep neural network decoder (NND) has become a promising candidate due to its capability of one-shot dec…

cs.IT2016★ 3 cited

Impact of Mobility on the Sum Rate of NB-OFDMA Based Mobile IoT Networks

Chunxu Jiao, Zhaoyang Zhang, Caijun Zhong

In future Internet of Things (IoT) networks, the explosive growth of mobile devices compel us to reconsider the effectiveness of the current frequency-division multiple access (FDM…

cs.IT2015★ 6 cited

Differential Modulation Exploiting the Spatial-Temporal Correlation of Wireless Channels With Moving Antenna Array

Zhaoyang Zhang, Chunxu Jiao, Caijun Zhong +2

Provisioning reliable wireless services for railway passengers is becoming an increasingly critical problem to be addressed with the fast development of high speed trains (HST). In…

cs.IT2014

Exploiting Delay Correlation for Multi-Antenna-Assisted High Speed Train Communications

Chunxu Jiao, Zhaoyang Zhang, Huazi Zhang +1

In High Speed Train Communications (HSTC), the most challenging issue is coping with the extremely fast fading channel. Compared with its static counterpart, channel estimation on…