activity
20152026
most citedCooperative Non-Orthogonal Multiple Access with Simultaneous Wireless Information and Power Transfer

912 citations · 10.1k across the 293 of their papers we have counts for

collaborators
Showing 2019Show all

20 papers · 1 filter

eess.SP2019★ 24 cited

Reconfigurable Intelligent Surface Aided NOMA Networks

Tianwei Hou, Yuanwei Liu, Zhengyu Song +3

Reconfigurable intelligent surfaces (RISs) constitute a promising performance enhancement for next-generation (NG) wireless networks in terms of enhancing both their spectrum effic…

cs.NI2019★ 50 cited

D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach

Tiankui Zhang, Xinyuan Fang, Yuanwei Liu +2

In device-to-device (D2D)-enabled caching cellular networks, the user terminals (UTs) collaboratively store and share a large volume of popular contents from the base station (BS)…

eess.SP2019★ 406 cited

Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization

Xidong Mu, Yuanwei Liu, Li Guo +2

This paper investigates a downlink multiple-input single-output intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) system, where a base station (BS) s…

cs.IT2019★ 61 cited

Energy-Constrained UAV Data Collection Systems: NOMA and OMA

Xidong Mu, Yuanwei Liu, Li Guo +2

This paper investigates unmanned aerial vehicle (UAV) data collection systems with different multiple access schemes, where a rotary-wing UAV is dispatched to collect data from mul…

cs.IT2019★ 25 cited

MIMO Assisted Networks Relying on Intelligent Reflective Surfaces

Tianwei Hou, Yuanwei Liu, Zhengyu Song +3

Intelligent reflective surfaces (IRSs) are invoked for improving both spectral efficiency (SE) and energy efficiency (EE). Specifically, an IRS-aided multiple-input multiple-output…

cs.IT2019

Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks

Tianwei Hou, Yuanwei Liu, Zhengyu Song +2

This article investigates the non-orthogonal multiple access (NOMA) enhanced unmanned aerial vehicle (UAV)-to-Everything (U2X) frameworks. A novel 3-Dimension framework for providi…

cs.IT2019★ 20 cited

A Simple Evaluation for the Secrecy Outage Probability Over Generalized-K Fading Channels

Hui Zhao, Yuanwei Liu, Ahemd Sultan-Salem +1

A simple approximation for the secrecy outage probability (SOP) over generalized-K fading channels is developed. This approximation becomes tighter as the average signal-to-noise r…

eess.SP2019★ 10 cited

Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach

Zhong Yang, Yuanwei Liu, Yue Chen +1

A novel non-orthogonal multiple access (NOMA) based cache-aided mobile edge computing (MEC) framework is proposed. For the purpose of efficiently allocating communication and compu…

cs.IT2019★ 65 cited

Non-Orthogonal Multiple Access for Air-to-Ground Communication

Xidong Mu, Yuanwei Liu, Li Guo +1

This paper investigates ground-aerial uplink non-orthogonal multiple access (NOMA) cellular networks. A rotary-wing unmanned aerial vehicle (UAV) user and multiple ground users (GU…

cs.IT2019★ 1 cited

Performance Analysis of Clustered LoRa Networks

Zhijin Qin, Yuanwei Liu, Geoffrey Ye Li +1

In this paper, we investigate the uplink transmission performance of low-power wide-area (LPWA) networks with regards to coexisting radio modules. We adopt long range (LoRa) radio…

cs.IT2019★ 1 cited

Secure Communications in a Unified Non-Orthogonal Multiple Access Framework

Xinwei Yue, Yuanwei Liu, Yuanyuan Yao +3

This paper investigates the impact of physical layer secrecy on the performance of a unified non-orthogonal multiple access (NOMA) framework, where both external and internal eaves…

eess.SP2019★ 10 cited

Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design

Xiao Liu, Yuanwei Liu, Yue Chen

A novel framework is proposed for quality of experience (QoE)-driven deployment and dynamic movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex th…

eess.SP2019★ 3 cited

Learning Automata Based Q-learning for Content Placement in Cooperative Caching

Zhong Yang, Yuanwei Liu, Yue Chen +1

An optimization problem of content placement in cooperative caching is formulated, with the aim of maximizing sum mean opinion score (MOS) of mobile users. Firstly, a supervised fe…

cs.IT2019★ 10 cited

Interplay Between NOMA and Other Emerging Technologies: A Survey

Mojtaba Vaezi, Gayan Amarasuriya, Yuanwei Liu +3

Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user fairness…

cs.IT2019★ 4 cited

Exploiting NOMA for UAV Communications in Large-Scale Cellular Networks

Tianwei Hou, Yuanwei Liu, Zhengyu Song +2

This paper advocates a pair of strategies in non-orthogonal multiple access (NOMA) in unmanned aerial vehicles (UAVs) communications, where multiple UAVs play as new aerial communi…

cs.IT2019

Clustered Millimeter Wave Networks with Non-Orthogonal Multiple Access

Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan +1

We introduce clustered millimeter wave networks with invoking non-orthogonal multiple access~(NOMA) techniques, where the NOMA users are modeled as Poisson cluster processes and ea…

cs.IT2019★ 122 cited

A Unified Framework for Non-Orthogonal Multiple Access

Xinwei Yue, Zhijin Qin, Yuanwei Liu +2

This paper proposes a unified framework of non-orthogonal multiple access (NOMA) networks. Stochastic geometry is employed to model the locations of spatially NOMA users. The propo…

cs.IT2019★ 149 cited

Modeling and Analysis of Two-Way Relay Non-Orthogonal Multiple Access Systems

Xinwei Yue, Yuanwei Liu, Shaoli Kang +2

A two-way relay non-orthogonal multiple access (TWR-NOMA) system is investigated, where two groups of NOMA users exchange messages with the aid of one half-duplex (HD) decode-and-f…

cs.NI2019★ 12 cited

When Machine Learning Meets Big Data: A Wireless Communication Perspective

Yuanwei Liu, Suzhi Bi, Zhiyuan Shi +1

We have witnessed an exponential growth in commercial data services, which has lead to the 'big data era'. Machine learning, as one of the most promising artificial intelligence to…

cs.IT2019★ 1 cited

A Unified Spatial Framework for UAV-aided MmWave Networks

Wenqiang Yi, Yuanwei Liu, Eliane Bodanese +2

For unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) networks, we propose a unified three-dimensional (3D) spatial framework in this paper to model a general case that…