Search Results for author: Xiaojun Yuan

Found 27 papers, 5 papers with code

Confederated Learning: Federated Learning with Decentralized Edge Servers

no code implementations30 May 2022 Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling

Most studies on FL consider a centralized framework, in which a single server is endowed with a central authority to coordinate a number of devices to perform model training in an iterative manner.

Federated Learning

Hybrid Offline-Online Design for Reconfigurable Intelligent Surface Aided UAV Communication

no code implementations27 May 2022 Kaiyuan Tian, Bin Duo, Xiaojun Yuan, Wu Luo

This letter considers the reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle (UAV) communication systems in urban areas under the general Rician fading channel.

Stochastic Optimization

Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing

no code implementations8 May 2022 Haoming Ma, Xiaojun Yuan, Zhi Ding, Dian Fan, Jun Fang

To achieve communication-efficient federated multitask learning (FMTL), we propose an over-the-air FMTL (OAFMTL) framework, where multiple learning tasks deployed on edge devices share a non-orthogonal fading channel under the coordination of an edge server (ES).

Multi-Task Learning

Receiver Design for MIMO Unsourced Random Access with SKP Coding

no code implementations30 Apr 2022 Zeyu Han, Xiaojun Yuan, Chongbin Xu, Xin Wang

In this letter, we extend the sparse Kronecker-product (SKP) coding scheme, originally designed for the additive white Gaussian noise (AWGN) channel, to multiple input multiple output (MIMO) unsourced random access (URA).

Energy-Efficient UAV-Mounted RIS Assisted Mobile Edge Computing

no code implementations24 Mar 2022 Zhiyuan Zhai, Xinhong Dai, Bin Duo, Xin Wang, Xiaojun Yuan

Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) have been recently applied in the field of mobile edge computing (MEC) to improve the data exchange environment by proactively changing the wireless channels through maneuverable location deployment and intelligent signals reflection, respectively.

Edge-computing

Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels

no code implementations27 Dec 2021 Chenxi Zhong, Huiyuan Yang, Xiaojun Yuan

We establish a communication-learning analysis framework for the proposed OA-FMTL scheme by considering the spatial correlation between devices, and formulate an optimization problem for the design of transceiver beamforming and device selection.

Federated Learning Multi-Task Learning

Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems

no code implementations9 Dec 2021 Boyu Teng, Xiaojun Yuan, Rui Wang, Shi Jin

In this paper, we study the user localization and tracking problem in the reconfigurable intelligent surface (RIS) aided multiple-input multiple-output (MIMO) system, where a multi-antenna base station (BS) and multiple RISs are deployed to assist the localization and tracking of a multi-antenna user.

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction

1 code implementation12 Nov 2021 Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung Yeung Shum, Yi Ma

In particular, we propose to learn a closed-loop transcription between a multi-class multi-dimensional data distribution and a linear discriminative representation (LDR) in the feature space that consists of multiple independent multi-dimensional linear subspaces.

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning

no code implementations6 Sep 2021 Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang

Federated edge learning (FEEL) has emerged as a revolutionary paradigm to develop AI services at the edge of 6G wireless networks as it supports collaborative model training at a massive number of mobile devices.

Elevation Angle-Dependent 3D Trajectory Design for Aerial RIS-aided Communication

no code implementations23 Aug 2021 Yifan Liu, Bin Duo, Qingqing Wu, Xiaojun Yuan, Jun Li, Yonghui Li

This paper investigates an aerial reconfigurable intelligent surface (RIS)-aided communication system under the probabilistic line-of-sight (LoS) channel, where an unmanned aerial vehicle (UAV) equipped with an RIS is deployed to assist two ground nodes in their information exchange.

Over-the-Air Federated Multi-Task Learning

no code implementations27 Jun 2021 Haoming Ma, Xiaojun Yuan, Dian Fan, Zhi Ding, Xin Wang, Jun Fang

In this letter, we introduce over-the-air computation into the communication design of federated multi-task learning (FMTL), and propose an over-the-air federated multi-task learning (OA-FMTL) framework, where multiple learning tasks deployed on edge devices share a non-orthogonal fading channel under the coordination of an edge server (ES).

Federated Learning Multi-Task Learning

Full-Dimensional Rate Enhancement for UAV-Enabled Communications via Intelligent Omni-Surface

no code implementations5 Jun 2021 Yifan Liu, Bin Duo, Qingqing Wu, Xiaojun Yuan, Yonghui Li

This paper investigates the achievable rate maximization problem of a downlink unmanned aerial vehicle (UAV)-enabled communication system aided by an intelligent omni-surface (IOS).

Benchmark

Fully Convolutional Line Parsing

2 code implementations22 Apr 2021 Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma

We conduct extensive experiments and show that our method achieves a significantly better trade-off between efficiency and accuracy, resulting in a real-time line detector at up to 73 FPS on a single GPU.

Line Segment Detection

Frequency Reflection Modulation for Reconfigurable Intelligent Surface Aided OFDM Systems

no code implementations19 Apr 2021 Wenjing Yan, Xiaojun Yuan, Xuanyu Cao

Reconfigurable intelligent surface (RIS) based reflection modulation has been considered as a promising information delivery mechanism, and has the potential to realize passive information transfer of a RIS without consuming any additional radio frequency chain and time/frequency/energy resources.

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

1 code implementation16 Apr 2021 Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan

Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image.

Room Layout Estimation

Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning

no code implementations3 Mar 2021 Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang

In this paper, we investigate over-the-air model aggregation in a federated edge learning (FEEL) system.

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface

no code implementations22 Feb 2021 Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

We study over-the-air model aggregation in federated edge learning (FEEL) systems, where channel state information at the transmitters (CSIT) is assumed to be unavailable.

Image Classification

Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO

no code implementations18 Jan 2021 Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang

In a RIS-aided MIMO system, the acquisition of channel state information (CSI) is important for achieving passive beamforming gains of the RIS, but is also challenging due to the cascaded property of the transmitter-RIS-receiver channel and the lack of signal processing capability of the passive RIS elements.

Bayesian Inference Information Theory Information Theory

Denoising-based Turbo Message Passing for Compressed Video Background Subtraction

no code implementations10 Dec 2020 Zhipeng Xue, Xiaojun Yuan, Yang Yang

In this paper, we consider the compressed video background subtraction problem that separates the background and foreground of a video from its compressed measurements.

Denoising Optical Flow Estimation +1

Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer

no code implementations7 Dec 2020 Huiyuan Yang, Xiaojun Yuan, Jun Fang, Ying-Chang Liang

By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary hardware technology to improve the energy and spectrum efficiency of wireless networks.

Fairness Quantization

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach

1 code implementation20 Nov 2020 Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

However, due to the heterogeneity of communication capacities among edge devices, over-the-air FL suffers from the straggler issue in which the device with the weakest channel acts as a bottleneck of the model aggregation performance.

Federated Learning

Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer

no code implementations2 Jun 2020 Huiyuan Yang, Xiaojun Yuan, Jun Fang, Ying-Chang Liang

By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary hardware technology to improve the energy and spectrum efficiency of wireless networks.

Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA

no code implementations12 Jan 2020 Shuchao Jiang, Xiaojun Yuan, Xin Wang, Chongbin Xu, Wei Yu

To address the problem that the exact calculation of the messages exchanged within CSCE and between the two modules is complicated due to phase ambiguity issues, this paper proposes a rotationally invariant Gaussian mixture (RIGM) model, and develops an efficient JUICESD-RIGM algorithm.

Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities

1 code implementation2 Jan 2020 Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi, Wenjing Yan, Hang Liu

Reconfigurable intelligent surfaces (RISs) are regarded as a promising emerging hardware technology to improve the spectrum and energy efficiency of wireless networks by artificially reconfiguring the propagation environment of electromagnetic waves.

Information Theory Signal Processing Information Theory

Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

no code implementations28 Aug 2019 Peilan Wang, Jun Fang, Xiaojun Yuan, Zhi Chen, Huiping Duan, Hongbin Li

In this framework, we study joint active and passive precoding design for IRS-assisted mmWave systems, where multiple IRSs are deployed to assist the data transmission from a base station (BS) to a single-antenna receiver.

Sparsity Learning Based Multiuser Detection in Grant-Free Massive-Device Multiple Access

no code implementations28 Jul 2018 Tian Ding, Xiaojun Yuan, Soung Chang Liew

In this work, we study the multiuser detection (MUD) problem for a grant-free massive-device multiple access (MaDMA) system, where a large number of single-antenna user devices transmit sporadic data to a multi-antenna base station (BS).

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