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

81 papers

quant-ph2026

Singer-Difference-Set Qudit Stabilizer Codes from Non-Degenerate Quadrics in PG(d,q)PG(d,q): Construction, Structural Theorems, and Monte-Carlo Performance

Michel Kulhandjian, Lajos Hanzo

We propose Q(q,d), a family of q-ary non-CSS qudit stabilizer codes with prime power q and dimension d >= 2, constructed from Singer difference sets and non-degenerate quadrics in…

cs.IT2023★ 30 cited

Performance Analysis and Approximate Message Passing Detection of Orthogonal Time Sequency Multiplexing Modulation

Zeping Sui, Shefeng Yan, Hongming Zhang +4

In orthogonal time sequency multiplexing (OTSM) modulation, the information symbols are conveyed in the delay-sequency domain upon exploiting the inverse Walsh Hadamard transform (…

cs.IT2023

Low Complexity Detection of Spatial Modulation Aided OTFS in Doubly-Selective Channels

Zeping Sui, Hongming Zhang, Yu Xin +3

A spatial modulation-aided orthogonal time frequency space (SM-OTFS) scheme is proposed for high-Doppler scenarios, which relies on a low-complexity distance-based detection algori…

quant-ph2022★ 32 cited

A Variational Quantum Attack for AES-like Symmetric Cryptography

ZeGuo Wang, ShiJie Wei, Gui-Lu Long +1

We propose a variational quantum attack algorithm (VQAA) for classical AES-like symmetric cryptography, as exemplified the simplified-data encryption standard (S-DES). In the VQAA,…

eess.SP2021★ 33 cited

Cooperative Multiterminal Radar and Communication: A New Paradigm for 6G Mobile Networks

Leonardo Leyva, Daniel Castanheira, Adão Silva +2

The impending spectrum congestion imposed by the emergence of new bandwidth-thirsty applications may be mitigated by the integration of radar and classic communications functionali…

eess.SP2021★ 74 cited

Wideband Channel Estimation for IRS-Aided Systems in the Face of Beam Squint

Siqi Ma, Wenqian Shen, Jianping An +1

Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impi…

cs.IT2021★ 15 cited

Antenna Array Diagnosis for Millimeter-Wave MIMO Systems

Siqi Ma, Wenqian Shen, Jianping An +1

The densely packed antennas of millimeter-Wave (mmWave) MIMO systems are often blocked by the rain, snow, dust and even by fingers, which will change the channel's characteristics…

eess.SP2021

Cooperative 3D Beamforming for Small-Cell and Cell-Free 6G Systems

Sarath Gopi, Sheetal Kalyani, Lajos Hanzo

Three dimensional (3D) resource reuse is an important design requirement for the prospective 6G wireless communication systems. Hence, we propose a cooperative 3D beamformer for us…

cs.IT2021

Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems

Jinnan Piao, Kai Niu, Jincheng Dai +1

We propose a unitary precoding scheme, namely polar-precoding, to improve the performance of polar-coded MIMO systems. In contrast to the traditional design of MIMO precoding crite…

cs.IT2021★ 2 cited

Dynamic NOMA-Based Computation Offloading in Vehicular Platoons

Dongsheng Zheng, Yingyang Chen, Lai Wei +2

Both the Mobile edge computing (MEC)-based and fog computing (FC)-aided Internet of Vehicles (IoV) constitute promising paradigms of meeting the demands of low-latency pervasive co…

cs.IT2021

Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques

Bruno Clerckx, Yijie Mao, Robert Schober +7

In this paper, we take a critical and fresh look at the downlink multi-antenna NOMA literature. Instead of contrasting NOMA with OMA, we contrast NOMA with two other baselines. The…

eess.SP2021★ 7 cited

Airplane-Aided Integrated Next-Generation Networking

Muralikrishnan Srinivasan, Sarath Gopi, Sheetal Kalyani +2

A high-rate yet low-cost air-to-ground (A2G) communication backbone is conceived for integrating the space and terrestrial network by harnessing the opportunistic assistance of the…

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…