activity
20092026
most citedFundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks

350 citations · 902 across the 57 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

eess.SP2018★ 1 cited

A Prototype Performance Analysis for V2V Communications using USRP-based Software Defined Radio Platform

Fei Peng, Shunqing Zhang, Shan Cao +1

Autonomous driving is usually recognized as a promising technology to replace human drivers in the near future. To guarantee the safety performance in the daily life scenario, mult…

eess.SP2018

Performance Evaluation for LTE-V based Vehicle-to-Vehicle Platooning Communication

Tao Yu, Shunqing Zhang, Shan Cao +1

With the raising demand for autonomous driving, vehicle-to-vehicle communications becomes a key technology enabler for the future intelligent transportation system. Based on our cu…

cs.CV2018

How many labeled license plates are needed?

Changhao Wu, Shugong Xu, Guocong Song +1

Training a good deep learning model often requires a lot of annotated data. As a large amount of labeled data is typically difficult to collect and even more difficult to annotate,…

cs.SD2018★ 5 cited

Deep Convolutional Neural Network with Mixup for Environmental Sound Classification

Zhichao Zhang, Shugong Xu, Shan Cao +1

Environmental sound classification (ESC) is an important and challenging problem. In contrast to speech, sound events have noise-like nature and may be produced by a wide variety o…

cs.IT2018★ 4 cited

Efficient Sparse Code Multiple Access Decoder Based on Deterministic Message Passing Algorithm

Chuan Zhang, Chao Yang, Wei Xu +3

Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal tech…

eess.SP2018★ 1 cited

On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems

Chuan Zhang, Xiao Liang, Zhizhen Wu +4

In massive MIMO (M-MIMO) systems, one of the key challenges in the implementation is the large-scale matrix inversion operation, as widely used in channel estimation, equalization,…