activity
20122026
most citedA Survey on Wireless Security: Technical Challenges, Recent Advances and Future Trends

1.3k citations · 5.7k across the 80 of their papers we have counts for

collaborators
Showing 2020Show all

16 papers · 1 filter

quant-ph2020★ 20 cited

Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems

Yifeng Xiong, Daryus Chandra, Soon Xin Ng +1

Quantum error mitigation (QEM) is a promising technique of protecting hybrid quantum-classical computation from decoherence, but it suffers from sampling overhead which erodes the…

cs.IT2020

Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems

Chenghao Feng, Wenqian Shen, Xinyu Gao +2

Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-ouput (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hard…

eess.SP2020★ 11 cited

Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks

Zhiqing Tang, Tianwei Hou, Yuanwei Liu +2

Intelligent reflective surface (IRS) technology is emerging as a promising performance enhancement technique for next-generation wireless networks. Hence, we investigate the physic…

cs.IT2020★ 1 cited

Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region

Jingjing Cui, Dong Liu, Jiankang Zhang +3

Relying on multi-hop communication techniques, aeronautical ad hoc networks (AANETs) seamlessly integrate ground base stations (BSs) and satellites into aircraft communications for…

cs.IT2020★ 26 cited

Orthogonal Time-Frequency Space Modulation: A Promising Next-Generation Waveform

Zhiqiang Wei, Weijie Yuan, Shuangyang Li +4

The sixth-generation (6G) wireless networks are envisioned to provide a global coverage for the intelligent digital society of the near future, ranging from traditional terrestrial…

cs.IT2020★ 1 cited

Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs

Xihan Chen, Yunlong Cai, An Liu +1

Millimeter wave (mmWave) communication systems using adaptive-resolution analog-to-digital converters (RADCs) have recently drawn considerable interests from the research community…

cs.IT2020

MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser mmWave Systems Relying on Tomlinson-Harashima Precoding

Kaidi Xu, Yunlong Cai, Minjian Zhao +2

Hybrid analog-digital (A/D) transceivers designed for millimeter wave (mmWave) systems have received substantial research attention, as a benefit of their lower cost and modest ene…

eess.SP2020★ 7 cited

Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm

Linglong Dai, Ruicheng Jiao, Fumiyuki Adachi +2

Wireless communications are envisioned to bring about dramatic changes in the future, with a variety of emerging applications, such as virtual reality (VR), Internet of things (IoT…

eess.SP2020

Distributed Caching for Data Dissemination in the Downlink of Heterogeneous Networks

Jun Li, Youjia Chen, Zihuai Lin +3

Heterogeneous cellular networks (HCN) with embedded small cells are considered, where multiple mobile users wish to download network content of different popularity. By caching dat…

eess.SP2020

Intelligent Reflecting Surface Assisted Beam Index-Modulation for Millimeter Wave Communication

Sarath Gopi, Sheetal Kalyani, Lajos Hanzo

Millimeter wave communication is eminently suitable for high-rate wireless systems, which may be beneficially amalgamated with intelligent reflecting surfaces (IRS), relying on bea…

cs.IT2020★ 1 cited

Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications

Li Qiao, Jun Zhang, Zhen Gao +2

A fundamental challenge of the large-scale Internet-of-Things lies in how to support massive machine-type communications (mMTC). This letter proposes a media modulation based mMTC…

cs.LG2020

Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming

Dong Liu, Jianyu Zhao, Chenyang Yang +1

Predictive power allocation is conceived for energy-efficient video streaming over mobile networks using deep reinforcement learning. The goal is to minimize the accumulated energy…

eess.SP2020

Joint Data and Active User Detection for Grant-free FTN-NOMA in Dynamic Networks

Weijie Yuan, Nan Wu, Jinhong Yuan +2

Both faster than Nyquist (FTN) signaling and non-orthogonal multiple access (NOMA) are promising next generation wireless communications techniques as a benefit of their capability…

cs.IT2020★ 1 cited

Secure Millimeter Wave Cloud Radio Access Networks Relying on Microwave Multicast Fronthaul

Wanming Hao, Gangcan Sun, Jiankang Zhang +2

In this paper, we investigate the downlink secure beamforming (BF) design problem of cloud radio access networks (C-RANs) relying on multicast fronthaul, where millimeter-wave and…

eess.SP2020★ 7 cited

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs

Xiao Liu, Mingzhe Chen, Yuanwei Liu +3

Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments. In the AI-enabled UAV-aided wireless netw…

cs.LG2020★ 2 cited

Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning

Dong Liu, Chengjian Sun, Chenyang Yang +1

Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable…