Search Results for author: Jianping An

Found 20 papers, 2 papers with code

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

no code implementations23 Dec 2023 Yifeng Lyu, Han Hu, Rongfei Fan, Zhi Liu, Jianping An, Shiwen Mao

To address these challenges, we study packet routing with ground stations and satellites working jointly to transmit packets, while prioritizing fast communication and meeting energy efficiency and packet loss requirements.

Multi-agent Reinforcement Learning

AI Generated Signal for Wireless Sensing

no code implementations22 Dec 2023 Hanxiang He, Han Hu, Xintao Huan, Heng Liu, Jianping An, Shiwen Mao

Deep learning has significantly advanced wireless sensing technology by leveraging substantial amounts of high-quality training data.

Attribute Denoising +1

Multiple Satellites Collaboration for Joint Code-aided CFOs and CPOs Estimation

no code implementations22 Sep 2023 Pingyue Yue, Yixuan Li, Yue Li, Rui Zhang, Shuai Wang, Jianping An

Low Earth Orbit (LEO) satellites are being extensively researched in the development of secure Internet of Remote Things (IoRT).

DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices

no code implementations10 Sep 2023 Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao

Our objective is to achieve fast and energy-efficient collaborative inference while maintaining comparable accuracy compared with large ViTs.

Collaborative Inference Knowledge Distillation

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

1 code implementation24 May 2022 Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao

In this paper, we study the multi-agent collaborative inference scenario, where a single edge server coordinates the inference of multiple UEs.

Collaborative Inference Feature Compression

CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing

1 code implementation24 May 2022 Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An

To tackle this challenge, we propose a framework termed collaborative data-free knowledge distillation via multi-level feature sharing (CDFKD-MFS), which consists of a multi-header student module, an asymmetric adversarial data-free KD module, and an attention-based aggregation module.

Data-free Knowledge Distillation

Heterogeneous Ultra-Dense Networks with Traffic Hotspots: A Unified Handover Analysis

no code implementations7 Apr 2022 He Zhou, Haibo Zhou, Jianguo Li, Kai Yang, Jianping An, Xuemin, Shen

By combining the PCP and MRWP model, the distributions of distances from a typical terminal to the BSs in different tiers are derived.

Point Processes

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

no code implementations26 Feb 2022 Boxiao Shen, Yongpeng Wu, Jianping An, Chengwen Xing, Lian Zhao, Wenjun Zhang

Next, by exploring the sparsity of channel in the delay-Doppler-angle domain, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-CF) is developed for the channel estimation.

Action Detection Activity Detection

Joint Hybrid and Passive RIS-Assisted Beamforming for MmWave MIMO Systems Relying on Dynamically Configured Subarrays

no code implementations12 Jan 2022 Chenghao Feng, Wenqian Shen, Jianping An, Lajos Hanzo

Specifically, the associated bandwidth-efficiency maximization problem is transformed into a series of sub-problems, where the sub-array of phase shifters and RIS elements are jointly optimized for maximizing each sub-array's rate.

Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead

no code implementations9 Jan 2022 Pingyue Yue, Jianping An, Jiankang Zhang, Jia Ye, Gaofeng Pan, Shuai Wang, Pei Xiao, Lajos Hanzo

Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress.

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

no code implementations5 Jun 2021 Siqi Ma, Wenqian Shen, Jianping An, Lajos Hanzo

Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impinging signals with adjustable phase shifts.

Passive Beamforming Design for Intelligent Reflecting Surface Assisted MIMO Systems

no code implementations2 Jun 2021 Chenghao Feng, Wenqian Shen, Xinyu Gao, Jianping An

Firstly, we decouple the optimization problem and design the active beamforming for a given IRS configuration.


Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions

no code implementations25 Feb 2021 Shun Zhang, Yushan Liu, Feifei Gao, Chengwen Xing, Jianping An, Octavia A. Dobre

With the depletion of spectrum, wireless communication systems turn to exploit large antenna arrays to achieve the degree of freedom in space domain, such as millimeter wave massive multi-input multioutput (MIMO), reconfigurable intelligent surface assisted communications and cell-free massive MIMO.

Information Theory Signal Processing Information Theory

Eavesdropping Risk Evaluation on Terahertz Wireless Channels in Atmospheric Turbulence

no code implementations2 Sep 2020 Yu Mei, Jianping An, Jianjun Ma, Lothar Moeller, John F. Federici

Wireless networks operating at terahertz (THz) frequencies have been proposed as a promising candidate to support the ever-increasing capacity demand, which cannot be satisfied with existing radio-frequency (RF) technology.

Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction

no code implementations18 Jul 2020 Yuwen Yang, Feifei Gao, Chengwen Xing, Jianping An, Ahmed Alkhateeb

However, the research on MSI aided intelligent communications has not yet explored how to integrate and fuse the multimodal sensory data, which motivates us to develop a systematic framework for wireless communications based on deep multimodal learning (DML).

On the Secrecy of UAV Systems With Linear Trajectory

no code implementations21 Jun 2020 Gaofeng Pan, Hongjiang Lei, Jianping An, Shuo Zhang, Mohamed-Slim Alouini

By observing the fact that moving in a straight line is a common flying behavior of unmanned aerial vehicles (UAVs) in normal applications, e. g., power line inspections, and air patrols along with highway/streets/borders, in this paper we investigate the secrecy outage performance of a UAV system with linear trajectory, where a UAV ($S$) flies in a straight line and transmits its information over the downlink to a legitimate receiver ($D$) on the ground while an eavesdropping UAV ($E$) trying to overhear the information delivery between $S$ and $D$.

When Full-Duplex Transmission Meets Intelligent Reflecting Surface: Opportunities and Challenges

no code implementations26 May 2020 Gaofeng Pan, Jia Ye, Jianping An, Mohamed-Slim Alouini

Full-duplex (FD) transmission has already been regarded and developed as a promising method to improve the utilization efficiency of the limited spectrum resource, as transmitting and receiving are allowed to simultaneously occur on the same frequency band.

FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation

no code implementations19 Jan 2020 Bei Wang, Jianping An

This paper addresses the importance of full-image supervision for monocular depth estimation.

Depth Completion Monocular Depth Estimation

Hybrid Beamforming for Terahertz Multi-Carrier Systems over Frequency Selective Fading

no code implementations14 Oct 2019 Hang Yuan, Nan Yang, Kai Yang, Chong Han, Jianping An

We consider a three-dimensional wideband THz channel by incorporating the joint effect of molecular absorption, high sparsity, and multi-path fading, and consider the carrier frequency offset in multi-carrier systems.

Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds

no code implementations28 Jun 2019 Bei Wang, Jianping An, Jiayan Cao

Object detection in point cloud data is one of the key components in computer vision systems, especially for autonomous driving applications.

3D Object Detection Autonomous Driving +4

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