Search Results for author: Jiangzhou Wang

Found 83 papers, 13 papers with code

Channel Estimation for RIS-Aided MU-MIMO mmWave Systems with Practical Hybrid Architecture

no code implementations8 Feb 2025 Liuchang Zhuo, Cunhua Pan, Hong Ren, Ruisong Weng, Shi Jin, A. Lee Swindlehurst, Jiangzhou Wang

Based on the observation that the overall cascaded MIMO channel can be decomposed into multiple sub-channels, the cascaded channel for a typical user is estimated in Stage II.

Compressive Sensing

Low-Complexity Iterative Precoding Design for Near-field Multiuser Systems With Spatial Non-Stationarity

no code implementations18 Jan 2025 Mengyu Liu, Cunhua Pan, Kangda Zhi, Hong Ren, Cheng-Xiang Wang, Jiangzhou Wang, Yonina C. Eldar

Furthermore, the proposed iterative precoding algorithms are proven to converge to RZF globally at an exponential rate.

Exploring the Advantages of Sparse Arrays in XL-MIMO Systems: Do Half-Wavelength Arrays Still Offer an Edge in the Near Field?

no code implementations16 Jan 2025 Xianzhe Chen, Hong Ren, Cunhua Pan, Cheng-Xiang Wang, Jiangzhou Wang

Furthermore, the paper introduces a crucial constraint on system parameters, under which effective degrees-of-freedom (EDoF) of XL-MIMO systems with sparse UPAs can be precisely estimated.

Effective DoF-Oriented Optimal Antenna Spacing in Near-Field XL-MIMO Systems

no code implementations13 Jan 2025 Xianzhe Chen, Hong Ren, Cunhua Pan, Zhangjie Peng, Jiangzhou Wang

This letter investigates the optimal antenna spacing for a near-field XL-MIMO communication system from the perspective of the array gain.

Two-Timescale Design for AP Mode Selection of Cooperative ISAC Networks

no code implementations29 Dec 2024 Zhichu Ren, Cunhua Pan, Hong Ren, Dongming Wang, Lexi Xu, Jiangzhou Wang

As an emerging technology, cooperative bi-static integrated sensing and communication (ISAC) is promising to achieve high-precision sensing, high-rate communication as well as self-interference (SI) avoidance.

Cooperative ISAC-empowered Low-Altitude Economy

no code implementations29 Dec 2024 Jun Tang, Yiming Yu, Cunhua Pan, Hong Ren, Dongming Wang, Jiangzhou Wang, Xiaohu You

This paper proposes a cooperative integrated sensing and communication (ISAC) scheme for the low-altitude sensing scenario, aiming at estimating the parameters of the unmanned aerial vehicles (UAVs) and enhancing the sensing performance via cooperation.

Tensor Decomposition

Hybrid Precoding with Per-Beam Timing Advance for Asynchronous Cell-free mmWave Massive MIMO-OFDM Systems

no code implementations8 Nov 2024 Pengzhe Xin, Yang Cao, Yue Wu, Dongming Wang, Xiaohu You, Jiangzhou Wang

A comprehensive asynchronous beam-domain signal transmission model is presented for mmWave CF-mMIMO-OFDM systems in both downlink and uplink, incorporating phase offset, inter-carrier interference (ICI) and inter-symbol interference (ISI).

Generative Semantic Communications with Foundation Models: Perception-Error Analysis and Semantic-Aware Power Allocation

no code implementations7 Nov 2024 Chunmei Xu, Mahdi Boloursaz Mashhadi, Yi Ma, Rahim Tafazolli, Jiangzhou Wang

Generative foundation models can revolutionize the design of semantic communication (SemCom) systems allowing high fidelity exchange of semantic information at ultra low rates.

Decoder Semantic Communication

Large Generative Model-assisted Talking-face Semantic Communication System

no code implementations6 Nov 2024 Feibo Jiang, Siwei Tu, Li Dong, Cunhua Pan, Jiangzhou Wang, Xiaohu You

The rapid development of generative Artificial Intelligence (AI) continually unveils the potential of Semantic Communication (SemCom).

Language Modeling Language Modelling +2

Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via deep residual network

no code implementations28 Oct 2024 Yan Wang, Yongqiang Li, Minghao Chen, Yu Yao, Feng Shu, Jiangzhou Wang

In this paper, channel estimation (CE) of intelligent reflecting surface aided near-field (NF) multi-user communication is investigated.

Denoising Federated Learning

Performance Analysis of Local Partial MMSE Precoding Based User-Centric Cell-Free Massive MIMO Systems and Deployment Optimization

no code implementations8 Oct 2024 Peng Jiang, Jiafei Fu, Pengcheng Zhu, Yan Wang, Jiangzhou Wang, Xiaohu You

Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant performance advantages over traditional cellular networks.

DNN-based Enhanced DOA Sensing via Massive MIMO Receiver with Switches-based Hybrid Architecture

no code implementations22 Sep 2024 YiFan Li, Kang Wei, Linqiong Jia, Jun Zou, Feng Shu, Yaoliang Song, Jiangzhou Wang

Second, in order to improve the DOA estimation accuracy of switches-based hybrid arrays, a deep neural network (DNN)-based method called ASN-DNN is proposed.

Augmenting Channel Simulator and Semi- Supervised Learning for Efficient Indoor Positioning

no code implementations1 Aug 2024 Yupeng Li, Xinyu Ning, Shijian Gao, Yitong Liu, Zhi Sun, Qixing Wang, Jiangzhou Wang

This work aims to tackle the labor-intensive and resource-consuming task of indoor positioning by proposing an efficient approach.

Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing

no code implementations11 Jul 2024 Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief

Federated Learning (FL) can protect the privacy of the vehicles in vehicle edge computing (VEC) to a certain extent through sharing the gradients of vehicles' local models instead of local data.

Deep Reinforcement Learning Edge-computing +2

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications

1 code implementation9 Jul 2024 Maoxin Ji, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief

In the rapidly evolving landscape of Internet of Vehicles (IoV) technology, Cellular Vehicle-to-Everything (C-V2X) communication has attracted much attention due to its superior performance in coverage, latency, and throughput.

Deep Reinforcement Learning

Channel Modeling Aided Dataset Generation for AI-Enabled CSI Feedback: Advances, Challenges, and Solutions

no code implementations1 Jul 2024 Yupeng Li, Gang Li, Zirui Wen, Shuangfeng Han, Shijian Gao, Guangyi Liu, Jiangzhou Wang

Specifically, the user equipment (UE) extracts the primary stochastic parameters of the field channel data and transmits them to the base station (BS).

Data Augmentation Dataset Generation

Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning

1 code implementation1 Jul 2024 Wenhua Wang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief

This paper focuses on the Age of Information (AoI) as a key metric for data freshness and explores task offloading issues for vehicles under RSU communication resource constraints.

Deep Reinforcement Learning Edge-computing +3

Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning

1 code implementation17 Jun 2024 Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Qiang Fan, Jiangzhou Wang

Vehicular edge computing (VEC) is an emerging technology that enables vehicles to perform high-intensity tasks by executing tasks locally or offloading them to nearby edge devices.

Deep Reinforcement Learning Edge-computing +1

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks

1 code implementation17 Jun 2024 Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief

Reconfigurable Intelligent Surface (RIS) is a pivotal technology in communication, offering an alternative path that significantly enhances the link quality in wireless communication environments.

Deep Reinforcement Learning

Machine Learning-based Near-field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array

no code implementations14 Jun 2024 YiFan Li, Feng Shu, Kang Wei, Jiatong Bai, Cunhua Pan, Yongpeng Wu, Yaoliang Song, Jiangzhou Wang

To obtain the exact NF DOA estimation results, we propose a grouped PC-HAD structure, which is capable of dividing the NF DOA estimation problem into multiple FF DOA estimation problems via partitioning the large-scale PC-HAD array into small-scale groups.

Clustering Position

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning

1 code implementation11 Jun 2024 Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief

This optimization encompasses the optimal link of V2V and V2I sharing strategies, the transmission power for vehicles sending semantic information and the length of transmitted semantic symbols, aiming at maximizing HSSE of V2I and enhancing success rate of effective semantic information transmission (SRS) of V2V.

Deep Reinforcement Learning reinforcement-learning +1

Hybrid Beamforming Design for RSMA-assisted mmWave Integrated Sensing and Communications

no code implementations7 Jun 2024 Jun Gong, Wenchi Cheng, Jiangzhou Wang, Jingqing Wang

Integrated sensing and communications (ISAC) has been considered one of the new paradigms for sixth-generation (6G) wireless networks.

Novel Synchronization Scheme for Cooperative ISAC Systems

no code implementations29 May 2024 Qihao Peng, Hong Ren, Zhendong Peng, Cunhua Pan, Maged Elkashlan, Dongming Wang, Jiangzhou Wang, Xiaohu You

To strike a balance between synchronization performance and overhead, we first classify the clusters by using the K-means algorithm, and propose a criteria to find a good set of master APs.

Deep Learning-Based CSI Feedback for XL-MIMO Systems in the Near-Field Domain

no code implementations15 May 2024 Zhangjie Peng, Ruijing Liu, Zhaotian Li, Cunhua Pan, Jiangzhou Wang

To solve this issue, we propose a deep-learning (DL)-based ExtendNLNet that can compress the CSI, and further reduce the overhead of CSI feedback.

Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing

no code implementations12 Apr 2024 Cui Zhang, Xiao Xu, Qiong Wu, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang

In this scheme, vehicle s mobility, channel conditions with temporal variations, computational resources with temporal variations, different data amount, transmission channel status of vehicles as well as Byzantine attacks were taken into account. Simulation results show that the proposed scheme effectively improves the safety and accuracy of the global model.

Deep Reinforcement Learning Edge-computing +1

Pseudo MIMO (pMIMO): An Energy and Spectral Efficient MIMO-OFDM System

no code implementations9 Apr 2024 Sen Wang, Tianxiong Wang, Shulun Zhao, Zhen Feng, Guangyi Liu, Chunfeng Cui, Chih-Lin I, Jiangzhou Wang

The proposed system architecture and the dedicated signal processing methods enable the scheme to transmit a bigger number of parallel data streams than the number of receiving RF chains, achieving a spectral efficiency performance close to that of a fully digital (FD) MIMO system with the same number of antenna elements, each equipped with an RF chain.

Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS

no code implementations26 Mar 2024 Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi, Yan Wang, Xuehui Wang, Jiangzhou Wang

In this paper, single large-scale IRS is divided to multiple small IRSs and a novel multi-IRS-aided multi-stream DM network is proposed to achieve a point-to-point multi-stream transmission by creating $K$ ($\geq3$) DoFs, where multiple small IRSs are placed distributively via multiple unmanned aerial vehicles (UAVs).

Employing High-Dimensional RIS Information for RIS-aided Localization Systems

no code implementations25 Mar 2024 Tuo Wu, Cunhua Pan, Kangda Zhi, Hong Ren, Maged Elkashlan, Jiangzhou Wang, Chau Yuen

Then, we propose a transfer learning based fingerprint (TFBF) algorithm that employs the reconstructed high-dimensional RIS information for MU localization.

Transfer Learning

Large-Scale RIS Enabled Air-Ground Channels: Near-Field Modeling and Analysis

no code implementations19 Mar 2024 Hao Jiang, Wangqi Shi, Zaichen Zhang, Cunhua Pan, Qingqing Wu, Feng Shu, Ruiqi Liu, Jiangzhou Wang

Then, we develop a beam domain channel model based on the proposed sub-array partition framework for large-scale RIS-enabled UAV-to-vehicle communication systems, which can be used to efficiently capture the sparse features in RIS-enabled UAV-to-vehicle channels in both near-field and far-field ranges.

Deep Learning-Based CSI Feedback for RIS-Aided Massive MIMO Systems with Time Correlation

no code implementations19 Mar 2024 Zhangjie Peng, Zhaotian Li, Ruijing Liu, Cunhua Pan, Feiniu Yuan, Jiangzhou Wang

We use long short-term memory to learn time correlation, which can help the neural network to improve the recovery quality of the compressed CSI.

Blockchain-Enabled Variational Information Bottleneck for IoT Networks

1 code implementation10 Mar 2024 Qiong Wu, Le Kuai, Pingyi Fan, Qiang Fan, Junhui Zhao, Jiangzhou Wang

In Internet of Things (IoT) networks, the amount of data sensed by user devices may be huge, resulting in the serious network congestion.

Data Compression Decoder

Energy-Efficient Clustered Cell-Free Networking with Access Point Selection

no code implementations1 Mar 2024 Ouyang Zhou, Junyuan Wang, Fuqiang Liu, Jiangzhou Wang

Ultra-densely deploying access points (APs) to support the increasing data traffic would significantly escalate the cell-edge problem resulting from traditional cellular networks.

A Framework of RIS-assisted ICSC User-centric Based Systems: Latency Optimization and Design

no code implementations21 Feb 2024 Jiahua Wan, Hong Ren, Zhiyuan Yu, Zhenkun Zhang, Yang Zhang, Cunhua Pan, Jiangzhou Wang

To address the formulated non-convex problem in the multi-UE scenario, we decouple the original problem into two subproblems, where the computational and beamforming settings are optimized alternately.

Edge-computing

Beamforming Optimization for Active RIS-Aided Multiuser Communications With Hardware Impairments

no code implementations16 Feb 2024 Zhangjie Peng, Zhibo Zhang, Cunhua Pan, Marco Di Renzo, Octavia A. Dobre, Jiangzhou Wang

Specifically, by exploiting the majorization-minimization approach, each subproblem is reformulated into a tractable surrogate problem, whose closed-form solutions are obtained by Lagrange dual decomposition approach and element-wise alternating sequential optimization method.

Spectral Efficiency Maximization for Active RIS-aided Cell-Free Massive MIMO Systems with Imperfect CSI

no code implementations11 Feb 2024 Mahdi Eskandari, Huiling Zhu, Jiangzhou Wang

A cell-free network merged with active reconfigurable reflecting surfaces (RIS) is investigated in this paper.

URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing

no code implementations30 Nov 2023 Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief

Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks to the nearby VEC server for processing.

Deep Reinforcement Learning Edge-computing

An ADMM-Based Geometric Configuration Optimization in RSSD-Based Source Localization By UAVs with Spread Angle Constraint

no code implementations24 Nov 2023 Xin Cheng, Guangjie Han, Jinlin Peng, Jinfang Jiang, Yu He, Weiqiang Zhu, Feng Shu, Jiangzhou Wang

Deploying multiple unmanned aerial vehicles (UAVs) to locate a signal-emitting source covers a wide range of military and civilian applications like rescue and target tracking.

A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

no code implementations15 Nov 2023 YiFan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song, Jiangzhou Wang

To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity.

Two Enhanced-rate Power Allocation Strategies for Active IRS-assisted Wireless Network

no code implementations15 Oct 2023 Qiankun Cheng, Rongen Dong, Wenlong Cai, Ruiqi Liu, Feng Shu, Jiangzhou Wang

Subsequently, two high-performance PA strategies, enhanced multiple random initialization Newton's (EMRIN) and Taylor polynomial approximation (TPA), are proposed.

Dynamic Sub-array Based Modeling for Large-Scale RIS-assisted mmWave UAV Channels

no code implementations24 Jul 2023 Baiping Xiong, Zaichen Zhang, Jiangzhou Wang

Large-scale reconfigurable intelligent surface (RIS) can effectively enhance the performance of millimeter wave (mmWave) unmanned aerial vehicle (UAV) to ground communication link with obstructed line-of-sight (LoS) path by exploiting more reflecting units.

Energy Minimization for Active RIS-Aided UAV-Enabled SWIPT Systems

no code implementations17 Jun 2023 Zhangjie Peng, Ruijing Liu, Cunhua Pan, Zhenkun Zhang, Jiangzhou Wang

In this paper, we consider an active reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle(UAV)-enabled simultaneous wireless information and power transfer(SWIPT) system with multiple ground users.

Asymptotic Performance Analysis of Large-Scale Active IRS-Aided Wireless Network

no code implementations31 May 2023 Yan Wang, Feng Shu, Zhihong Zhuang, Rongen Dong, Qi Zhang, Di wu, Liang Yang, Jiangzhou Wang

Numerical simulation results show that a 3-bit discrete phase shifter is required to achieve a trivial performance loss for a large-scale active IRS.

Quantization

Over-the-Air Federated Averaging with Limited Power and Privacy Budgets

no code implementations5 May 2023 Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai, Feng Shu, Jiangzhou Wang

We aim to improve the learning performance by jointly designing the device scheduling, alignment coefficient, and the number of aggregation rounds of federated averaging (FedAvg) subject to sum power and privacy constraints.

Federated Learning Scheduling

Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems

no code implementations11 Mar 2023 Hongbiao Zhu, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Zhengquan Li

It is critical to determine the optimal policy including sample collection requirements and power allocation to minimize the AoI and energy consumption of MIMO-NOMA IoT system, where the transmission rate is not a constant in the SIC process and the noise is stochastic in the MIMO-NOMA channel.

Deep Reinforcement Learning

Two Efficient Beamforming Methods for Hybrid IRS-aided AF Relay Wireless Networks

no code implementations7 Jan 2023 Xuehui Wang, Feng Shu, Mengxing Huang, Fuhui Zhou, Riqing Chen, Cunhua Pan, Yongpeng Wu, Jiangzhou Wang

Moreover, it is verified that the proposed HP-SDR-FP method perform better than WF-GPI-GRR method in terms of rate performance.

Enhanced-rate Iterative Beamformers for Active IRS-assisted Wireless Communications

no code implementations16 Dec 2022 Yeqing Lin, Feng Shu, Rongen Dong, Riqing Chen, Siling Feng, Weiping Shi, Jing Liu, Jiangzhou Wang

In this paper, in order to boost the achievable rate of user in such a wireless network, three enhanced-rate iterative beamforming methods are proposed by designing the amplifying factors and the corresponding phases at active IRS.

Three High-rate Beamforming Methods for Active IRS-aided Wireless Network

no code implementations5 Dec 2022 Feng Shu, Jing Liu, Yeqing Lin, Yang Liu, Zhilin Chen, Xuehui Wang, Rongen Dong, Jiangzhou Wang

To fully exploit the amplifying gain achieved by active IRS, two high-rate methods, maximum ratio reflecting (MRR) and selective ratio reflecting (SRR) are presented, which are motivated by maximum ratio combining and selective ratio combining.

Vocal Bursts Intensity Prediction

Channel Tracking for RIS-aided mmWave Communications Under High Mobility Scenarios

no code implementations7 Nov 2022 Yu Liu, Ming Chen, Cunhua Pan, Yijin Pan, Yinlu Wang, Yaoming Huang, Tianyang Cao, Jiangzhou Wang

The emerging reconfigurable intelligent surface (RIS) technology is promising for applications in the millimeter wave (mmWave) communication systems to effectively compensate for propagation loss or tackle the blockage issue.

Vocal Bursts Intensity Prediction

Two-Timescale Transmission Design for RIS-Aided Cell-Free Massive MIMO Systems

no code implementations16 Oct 2022 Jianxin Dai, Jin Ge, Kangda Zhi, Cunhua Pan, Zaichen Zhang, Jiangzhou Wang, Xiaohu You

Finally, the numerical results demonstrate the correctness of our derived expressions and the benefits of deploying large-size RISs into cell-free mMIMO systems.

Enhanced Secure Wireless Transmission Using IRS-aided Directional Modulation

no code implementations29 Sep 2022 Yeqing Lin, Rongen Dong, Peng Zhang, Feng Shu, Jiangzhou Wang

To reduce the computational complexity, a new method of maximizing receive power with zero-forcing constraint (Max-RP-ZFC) of only reflecting CM and no AN is proposed.

Deep Learning Based DOA Estimation for Hybrid Massive MIMO Receive Array with Overlapped Subarrays

no code implementations11 Sep 2022 YiFan Li, Baihua Shi, Feng Shu, Yaoliang Song, Jiangzhou Wang

To improve the accuracy of direction-of-arrival (DOA) estimation, a deep learning (DL)-based method called CDAE-DNN is proposed for hybrid analog and digital (HAD) massive MIMO receive array with overlapped subarray (OSA) architecture in this paper.

Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning

no code implementations3 Sep 2022 Mahdi Eskandari, Huiling Zhu, Arman Shojaeifard, Jiangzhou Wang

The paper presents a joint beamforming algorithm using statistical channel state information (S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless communications.

Deep Reinforcement Learning Reinforcement Learning (RL)

Active Reconfigurable Intelligent Surface for Mobile Edge Computing

no code implementations3 Sep 2022 Zhangjie Peng, Ruisong Weng, Zhenkun Zhang, Cunhua Pan, Jiangzhou Wang

This paper investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system.

Edge-computing

RIS-Aided Near-Field Localization and Channel Estimation for the Sub-Terahertz System

no code implementations24 Aug 2022 Yijin Pan, Cunhua Pan, Shi Jin, Jiangzhou Wang

This makes localization and channel estimation in the near field of the RIS-aided subTHz system more challenging.

RIS-Aided Localization Algorithm and Analysis: Tackling Non-Gaussian Angle Estimation Errors

no code implementations16 Aug 2022 Tuo Wu, Hong Ren, Cunhua Pan, Yijin Pan, Sheng Hong, Maged Elkashlan, Feng Shu, Jiangzhou Wang

Reconfigurable intelligent surface (RIS)-aided localization systems are increasingly recognized for enhancing accuracy in internet of things (IoT) networks.

Asynchronous Federated Learning for Edge-assisted Vehicular Networks

1 code implementation3 Aug 2022 Siyuan Wang, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang

For the traditional federated learning (FL), vehicles train the data locally to obtain a local model and then upload the local model to the RSU to update the global model, thus the data privacy can be protected through sharing model parameters instead of data.

Federated Learning

Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning

1 code implementation2 Aug 2022 Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang

In addition, we consider the mobility of vehicles and propose a deep reinforcement learning algorithm to obtain the optimal cooperative caching location for the predicted popular contents in order to optimize the content transmission delay.

Deep Reinforcement Learning Edge-computing +3

Optimal Measurement of Drone Swarm in RSS-based Passive Localization with Region Constraints

no code implementations2 Aug 2022 Xin Cheng, Feng Shu, YiFan Li, Zhihong Zhuang, Di wu, Jiangzhou Wang

In this paper, optimal geometrical configurations of UAVs in received signal strength (RSS)-based localization under region constraints are investigated.

An IRS Backscatter Enabled Integrated Sensing, Communication and Computation System

no code implementations20 Jul 2022 Sai Xu, Yanan Du, Jiliang Zhang, Jiangzhou Wang, Jie Zhang

This paper proposes to leverage intelligent reflecting surface (IRS) backscatter to realize radio-frequency-chain-free uplink-transmissions (RFCF-UT).

Providing Location Information at Edge Networks: A Federated Learning-Based Approach

no code implementations17 May 2022 Xin Cheng, Tingting Liu, Feng Shu, Chuan Ma, Jun Li, Jiangzhou Wang

Recently, the development of mobile edge computing has enabled exhilarating edge artificial intelligence (AI) with fast response and low communication cost.

Edge-computing Federated Learning +1

Two Low-complexity DOA Estimators for Massive/Ultra-massive MIMO Receive Array

no code implementations20 Apr 2022 YiWen Chen, Xichao Zhan, Feng Shu, Qijuan Jie, Xin Cheng, Zhihong Zhuang, Jiangzhou Wang

Eigen-decomposition-based direction finding methods of using large-scale/ultra-large-scale fully-digital receive antenna arrays lead to a high or ultra-high complexity.

Federated Learning-Based Localization with Heterogeneous Fingerprint Database

no code implementations29 Mar 2022 Xin Cheng, Chuan Ma, Jun Li, Haiwei Song, Feng Shu, Jiangzhou Wang

Fingerprint-based localization plays an important role in indoor location-based services, where the position information is usually collected in distributed clients and gathered in a centralized server.

Federated Learning

Machine Learning Methods for Inferring the Number of UAV Emitters via Massive MIMO Receive Array

no code implementations2 Mar 2022 YiFan Li, Feng Shu, Jinsong Hu, Shihao Yan, Haiwei Song, Weiqiang Zhu, Da Tian, Yaoliang Song, Jiangzhou Wang

The simulation results show that the machine learning-based methods can achieve good results in signal classification, especially neural networks, which can always maintain the classification accuracy above 70\% with massive MIMO receive array.

Classification MME

RIS-Aided D2D Communications Relying on Statistical CSI with Imperfect Hardware

no code implementations4 Dec 2021 Zhangjie Peng, Tianshu Li, Cunhua Pan, Hong Ren, Jiangzhou Wang

In this letter, we investigate a reconfigurable intelligent surfaces (RIS)-aided device to device (D2D) communication system over Rician fading channels with imperfect hardware including both hardware impairment at the transceivers and phase noise at the RISs.

High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers

no code implementations3 Aug 2021 Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, YiFan Li, Jiangzhou Wang

The test statistic (TS) of the first method is defined as the ratio of maximum eigen-value (Max-EV) to minimum eigen-value (R-MaxEV-MinEV) while that of the second one is defined as the ratio of Max-EV to noise variance (R-MaxEV-NV).

Communication-efficient Coordinated RSS-based Distributed Passive Localization via Drone Cluster

no code implementations1 Apr 2021 Xin Cheng, Weiping Shi, Wenlong Cai, Weiqiang Zhu, Tong Shen, Feng Shu, Jiangzhou Wang

Simulation results show that the proposed DMM performs better than the existing distributed Gauss-Newton method (DGN) in terms of root of mean square error (RMSE) under a limited low communication overhead constraint.

Self-Sustainable Reconfigurable Intelligent Surface Aided Simultaneous Terahertz Information and Power Transfer (STIPT)

no code implementations8 Feb 2021 Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang

This paper proposes a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which is assisted by reconfigurable intelligent surface (RIS) for both the information data and power transmission.

Performance Comparison between Reconfigurable Intelligent Surface and Relays: Theoretical Methods and a Perspective from Operator

no code implementations28 Jan 2021 Qi Gu, Dan Wu, Xin Su, Jing Jin, Yifei Yuan, Jiangzhou Wang

On the other hand, a relay node in a traditional relay network has to be active, which indicates that it will consume energy when it is relaying the signal or information between the source and destination nodes.

Information Theory Information Theory

Multi-RIS Aided 3D Secure Precise Wireless Transmission

no code implementations23 Nov 2020 Tong Shen, Wenlong Cai, Yan Lin, Shuo Zhang, Jinyong Lin, Feng Shu, Jiangzhou Wang

Then, multiple RISs are utilized to achieve SPWT through the reflection path among transmitter, RISs and receivers in order to enhance the communication performance and energy efficiency simultaneously.

Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

no code implementations9 Nov 2020 Cunhua Pan, Hong Ren, Kezhi Wang, Jonas Florentin Kolb, Maged Elkashlan, Ming Chen, Marco Di Renzo, Yang Hao, Jiangzhou Wang, A. Lee Swindlehurst, Xiaohu You, Lajos Hanzo

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems.

Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance

1 code implementation5 Nov 2020 Qiong Wu, Hongmei Ge, Pingyi Fan, Jiangzhou Wang, Qiang Fan, Zhengquan Li

However, one vehicle in platoons inevitably suffers from a disturbance resulting from the leader vehicle acceleration/deceleration, wind gust and uncertainties in a platoon control system, i. e., aerodynamics drag and rolling resistance moment etc.

Networking and Internet Architecture

Enhanced RSS-based UAV Localization via Trajectory and Multi-base Stations

no code implementations3 Nov 2020 YiFan Li, Feng Shu, Baihua Shi, Xin Cheng, Yaoliang Song, Jiangzhou Wang

First, fixing the nth BS, by exploiting multiple measurements along trajectory, the position of UAV is computed by ML rule.

Position

Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array

no code implementations1 Nov 2020 Baihua Shi, Nuo Chen, Xicheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang

In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike a good balance between performance and circuit cost.

Information Theory Signal Processing Information Theory

Fast Network Community Detection with Profile-Pseudo Likelihood Methods

1 code implementation1 Nov 2020 Jiangzhou Wang, Jingfei Zhang, Binghui Liu, Ji Zhu, Jianhua Guo

In this article, we propose a novel likelihood based approach that decouples row and column labels in the likelihood function, which enables a fast alternating maximization; the new method is computationally efficient, performs well for both small and large scale networks, and has provable convergence guarantee.

Community Detection Stochastic Block Model

UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications

no code implementations27 Oct 2020 Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang

In this paper, unmanned aerial vehicles (UAVs) and intelligent reflective surface (IRS) are utilized to support terahertz (THz) communications.

On Consideration of Content Preference and Sharing Willingness in D2D Assisted Offloading

1 code implementation1 Feb 2017 Yijin Pan, Cunhua Pan, Huiling Zhu, Qasim Zeeshan Ahmed, Ming Chen, Jiangzhou Wang

Furthermore, an alternative group optimization (AGO) algorithm is proposed to solve the general case of the optimization problem.

Networking and Internet Architecture

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