1.6k citations · 6.8k across the 149 of their papers we have counts for
12 papers · 1 filter
Machine Learning for Vehicular Networks
Hao Ye, Le Liang, Geoffrey Ye Li +3
The emerging vehicular networks are expected to make everyday vehicular operation safer, greener, and more efficient, and pave the path to autonomous driving in the advent of the f…
Deep Reinforcement Learning for Resource Allocation in V2V Communications
Hao Ye, Geoffrey Ye Li
In this article, we develop a decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communication systems based on deep reinforcement learning. Each V2V link is…
Intelligent Wireless Communications Enabled by Cognitive Radio and Machine Learning
Xiangwei Zhou, Mingxuan Sun, Geoffrey Ye Li +1
The ability to intelligently utilize resources to meet the need of growing diversity in services and user behavior marks the future of wireless communication systems. Intelligent w…
Hypergraph Theory: Applications in 5G Heterogeneous Ultra-Dense Networks
Hongliang Zhang, Lingyang Song, Yonghui Li +1
Heterogeneous ultra-dense network (HUDN) can significantly increase the spectral efficiency of cellular networks and cater for the explosive growth of data traffic in the fifth-gen…
Spatial Resource Allocation for Spectrum Reuse in Unlicensed LTE Systems
Rui Yin, Amine Maaref, Geoffrey Ye Li
In this paper, we study how to reuse the unlicensed spectrum in LTE-U systems while guaranteeing harmonious coexistence between the LTE-U and Wi-Fi systems. For a small cell with m…
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
This article presents our initial results in deep learning for channel estimation and signal detection in orthogonal frequency-division multiplexing (OFDM). OFDM has been widely ad…
Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems
Bolei Wang, Feifei Gao, Shi Jin +2
When there are a large number of antennas in massive MIMO systems, the transmitted wideband signal will be sensitive to the physical propagation delay of electromagnetic waves acro…
Vehicular Communications: A Network Layer Perspective
Haixia Peng, Le Liang, Xuemin Shen +1
Vehicular communications, referring to information exchange among vehicles, pedestrians, and infrastructures, have become very popular and been widely studied recently due to its g…
Non-orthogonal Multiple Access for High-reliable and Low-latency V2X Communications
Boya Di, Lingyang Song, Yonghui Li +1
In this paper, we consider a dense vehicular communication network where each vehicle broadcasts its safety information to its neighborhood in each transmission period. Such applic…
Vehicular Communications: A Physical Layer Perspective
Le Liang, Haixia Peng, Geoffrey Ye Li +1
Vehicular communications have attracted more and more attention recently from both industry and academia due to its strong potential to enhance road safety, improve traffic efficie…
Modulation and Multiple Access for 5G Networks
Yunlong Cai, Zhijin Qin, Fangyu Cui +2
Fifth generation (5G) wireless networks face various challenges in order to support large-scale heterogeneous traffic and users, therefore new modulation and multiple access (MA) s…
A New View of Multi-User Hybrid Massive MIMO: Non-Orthogonal Angle Division Multiple Access
Hai Lin, Feifei Gao, Shi Jin +1
This paper presents a new view of multi-user (MU) hybrid massive multiple-input and multiple-output (MIMO) systems from array signal processing perspective. We first show that the…