1.3k citations · 3.9k across the 60 of their papers we have counts for
15 papers · 1 filter
Intelligent Network Slicing for V2X Services Towards 5G
Jie Mei, Xianbin Wang, Kan Zheng
Benefiting from the widely deployed LTE infrastructures, the fifth generation (5G) wireless networks have been becoming a critical enabler for the emerging vehicle-to-everything (V…
A New Atomic Norm for DOA Estimation With Gain-Phase Errors
Peng Chen, Zhimin Chen, Zhenxin Cao +1
The problem of direction of arrival (DOA) estimation has been studied for decades as an essential technology in enabling radar, wireless communications, and array signal processing…
Futures-Based Resource Trading and Fair Pricing in Real-Time IoT Networks
Shuran Sheng, Ruitao Chen, Peng Chen +2
Technology advancements on sensing, communications, and computing directly accelerate the recent development of Internet of Things (IoT), leading to rich and diverse applications i…
Evolution of Vehicle Network on a Highway
Gleb Dubosarskii, Serguei Primak, Xianbin Wang
One of the challenges related to the investigation of vehicular networks is associated with predicting a network state regarding both short-term and long-term network evolutionary…
Stochastic Geometry of Network of Randomly Distributed Moving Vehicles on a Highway
Gleb Dubosarskii, Serguei Primak, Xianbin Wang
Vehicular ad-hoc networks (VANETs) have become an extensively studied topic in contemporary research. One of the fundamental problems that has arisen in such research is understand…
Intelligent Active Queue Management Using Explicit Congestion Notification
Cesar A. Gomez, Xianbin Wang, Abdallah Shami
As more end devices are getting connected, the Internet will become more congested. Various congestion control techniques have been developed either on transport or network layers.…
Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement?
He Fang, Angie Qi, Xianbin Wang
Security provisioning has become the most important design consideration for large-scale Internet of Things (IoT) systems due to their critical roles to support diverse vertical ap…
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
He Fang, Xianbin Wang, Stefano Tomasin
The fifth generation (5G) and beyond wireless networks are critical to support diverse vertical applications by connecting heterogeneous devices and machines, which directly increa…
Realistic Channel Models Pre-training
Yourui Huangfu, Jian Wang, Chen Xu +5
In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models.…
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing
Lei Lei, Huijuan Xu, Xiong Xiong +3
By leveraging the concept of mobile edge computing (MEC), massive amount of data generated by a large number of Internet of Things (IoT) devices could be offloaded to MEC server at…
Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
Muye Li, Shun Zhang, Nan Zhao +2
On the time-varying channel estimation, the traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise ve…
Integrating PHY Security Into NDN-IoT Networks By Exploiting MEC: Authentication Efficiency, Robustness, and Accuracy Enhancement
Peng Hao, Xianbin Wang
Recent literature has demonstrated the improved data discovery and delivery efficiency gained through applying named data networking (NDN) to a variety of information-centric Inter…
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Lingyi Han, Kan Zheng, Long Zhao +2
Short-term road traffic prediction (STTP) is one of the most important modules in Intelligent Transportation Systems (ITS). However, network-level STTP still remains challenging du…
Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks
Xianbin Wang, Huazi Zhang, Rong Li +4
The key to successive cancellation (SC) flip decoding of polar codes is to accurately identify the first error bit. The optimal flipping strategy is considered difficult due to lac…
Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models
Yourui Huangfu, Jian Wang, Rong Li +4
Accurate prediction of fading channel in the upcoming transmission frame is essential to realize adaptive transmission for transmitters, and receivers with the ability of channel p…