output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

Showing 2019 · cs.ITShow all

35 papers · 2 filters

cs.IT2019★ 9 cited

Power Efficient IRS-Assisted NOMA

Jianyue Zhu, Yongming Huang, Jiaheng Wang +2

In this paper, we propose a downlink multiple-input single-output (MISO) transmission scheme, which is assisted by an intelligent reflecting surface (IRS) consisting of a large num…

cs.IT2019★ 5 cited

Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs

Hanqing Wang, Nir Shlezinger, Yonina C. Eldar +4

The combination of orthogonal frequency modulation (OFDM) and multiple-input multiple-output (MIMO) systems plays an important role in modern communication systems. In order to mee…

cs.IT2019

Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks

Meng Hua, Yi Wang, Qingqing Wu +3

This paper investigates a multiple unmanned aerial vehicles (UAVs) enabled cooperative secure transmission scheme in the presence of multiple potential eavesdroppers. Specifically,…

cs.IT2019

Throughput Maximization for UAV-aided Backscatter Communication Networks

Meng Hua, Luxi Yang, Chunguo Li +2

This paper investigates unmanned aerial vehicle (UAV)-aided backscatter communication (BackCom) networks, where the UAV is leveraged to help the backscatter device (BD) forward sig…

cs.IT2019★ 3 cited

Computation Offloading in the Untrusted MEC-aided Mobile Blockchain IoT System

Yiping Zuo, Shi Jin, Shengli Zhang

Deploying mobile edge computing (MEC) server in the mobile blockchain-enabled Internet of things (IoT) system is a promising approach to improve the system performance, however, it…

cs.IT2019★ 5 cited

The Parameters of Minimal Linear Codes

Wei Lu, Xia Wu, Xiwang Cao

Let be two positive integers and a prime power. The basic question in minimal linear codes is to determine if there exists an minimal linear code. The first…

cs.IT2019★ 2 cited

Secure Communication for Spatially Sparse Millimeter-Wave Massive MIMO Channels via Hybrid Precoding

Jindan Xu, Wei Xu, Derrick Wing Kwan Ng +1

In this paper, we investigate secure communication over sparse millimeter-wave (mm-Wave) massive multiple-input multiple-output (MIMO) channels by exploiting the spatial sparsity o…

cs.IT2019

An improved transformation between Fibonacci FSRs and Galois FSRs

Bowen Li, Shiyong Zhu, Jianquan Lu

Feedback shift registers (FSRs), which have two configurations: Fibonacci and Galois, are a primitive building block in stream ciphers. In this paper, an improved transformation is…

cs.IT2019★ 1 cited

Six constructions of asymptotically optimal codebooks via the character sums

Wei Lu, Xia Wu, Xiwang Cao +1

In this paper, using additive characters of finite field, we find a codebook which is equivalent to the measurement matrix in [20]. The advantage of our construction is that it can…

cs.IT2019★ 26 cited

On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone

Jin-Yuan Wang, Yu Qiu, Sheng-Hong Lin +3

This paper investigates the physical-layer security for a random indoor visible light communication (VLC) network with imperfect channel state information (CSI) and a protected zon…

cs.IT2019★ 6 cited

Massive Access for Future Wireless Communication Systems

Yongpeng Wu, Xiqi Gao, Shidong Zhou +3

Multiple access technology played an important role in wireless communication in the last decades: it increases the capacity of the channel and allows different users to access the…

cs.IT2019★ 2 cited

Performance of High-Mobility MIMO Communications with Doppler Diversity

Xiaoyun Hou, Jie Ling, Dongming Wang

A rapid change of channels in high-speed mobile communications will lead to difficulties in channel estimation and tracking but can also provide Doppler diversity. In this paper, t…

cs.IT2019

Bit-level Optimized Neural Network for Multi-antenna Channel Quantization

Chao Lu, Wei Xu, Shi Jin +1

Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology. In order to red…

cs.IT2019★ 10 cited

Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs

Shen Gao, Peihao Dong, Zhiwen Pan +1

In this article, deep learning is applied to estimate the uplink channels for mixed analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO) systems, where…

cs.IT2019

Ergodic Rate Analysis of Cooperative Ambient Backscatter Communication

Shaoqing Zhou, Wei Xu, Kezhi Wang +3

Ambient backscatter communication has shown great potential in the development of future wireless networks. It enables a backscatter transmitter (BTx) to send information directly…

cs.IT2019★ 10 cited

3-D Positioning and Environment Mapping for mmWave Communication Systems

Jie Yang, Shi Jin, Chao-Kai Wen +2

Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new opportunities for accurate cooperative localization, in which large bandwidths, large antenna arrays, and i…

cs.IT2019★ 2 cited

Online Maneuver Design for UAV-Enabled NOMA Systems via Reinforcement Learning

Yuwei Huang, Xiaopeng Mo, Jie Xu +2

This paper considers an unmanned aerial vehicle enabled-up link non-orthogonal multiple-access system, where multiple mobile users on the ground send independent messages to a unma…

cs.IT2019

Minimum-Latency FEC Design with Delayed Feedback: Mathematical Modeling and Efficient Algorithms

Xiaoli Xu, Yong Zeng, Yonghui Li +1

In this paper, we consider the packet-level forward error correction (FEC) code design, without feedback or with delayed feedback, for achieving the minimum end-to-end latency, i.e…

cs.IT2019★ 1 cited

Compression and Acceleration of Neural Networks for Communications

Jiajia Guo, Jinghe Wang, Chao-Kai Wen +2

Deep learning (DL) has achieved great success in signal processing and communications and has become a promising technology for future wireless communications. Existing works mainl…

cs.IT2019★ 467 cited

Model-Driven Deep Learning for MIMO Detection

Hengtao He, Chao-Kai Wen, Shi Jin +1

In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In particular, the MIMO detector is specially designed by unfolding an iterative algorithm and…

cs.IT2019

On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications

Jin-Yuan Wang, Hong Ge, Min Lin +3

In this paper, we investigate the physical-layer security for a spatial modulation (SM) based indoor visible light communication (VLC) system, which includes multiple transmitters,…

cs.IT2019★ 19 cited

Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications

Hong Shen, Wei Xu, Shulei Gong +2

We investigate transmission optimization for intelligent reflecting surface (IRS) assisted multi-antenna systems from the physical-layer security perspective. The design goal is to…

cs.IT2019★ 91 cited

Fundamental Rate Limits of UAV-Enabled Multiple Access Channel with Trajectory Optimization

Peiming Li, Jie Xu

This paper studies an unmanned aerial vehicle (UAV)-enabled multiple access channel (MAC), in which multiple ground users transmit individual messages to a mobile UAV in the sky. W…

cs.IT2019★ 452 cited

Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems

Peihao Dong, Hua Zhang, Geoffrey Ye Li +2

For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and cost, which poses a…