Search Results for author: Xiaohu You

Found 34 papers, 2 papers with code

Digital versus Analog Transmissions for Federated Learning over Wireless Networks

no code implementations15 Feb 2024 Jiacheng Yao, Wei Xu, Zhaohui Yang, Xiaohu You, Mehdi Bennis, H. Vincent Poor

In this paper, we quantitatively compare these two effective communication schemes, i. e., digital and analog ones, for wireless federated learning (FL) over resource-constrained networks, highlighting their essential differences as well as their respective application scenarios.

Federated Learning

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems

1 code implementation14 Feb 2024 Shen Gao, Peihao Dong, Zhiwen Pan, Xiaohu You

Extremely large-scale massive multiple-input multiple-output (XL-MIMO) systems introduce the much higher channel dimensionality and incur the additional near-field propagation effect, aggravating the computation load and the difficulty to acquire the prior knowledge for channel estimation.


Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler

no code implementations29 Nov 2023 Zhenyu Tao, Wei Xu, Yongming Huang, XiaoYun Wang, Xiaohu You

Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasingly attention as a promising technology for intricate wireless networks.

Passive Integrated Sensing and Communication Scheme based on RF Fingerprint Information Extraction for Cell-Free RAN

no code implementations10 Nov 2023 Jingxuan Yu, Fan Zeng, Jiamin Li, Feiyang Liu, Pengcheng Zhu, Dongming Wang, Xiaohu You

This paper investigates how to achieve integrated sensing and communication (ISAC) based on a cell-free radio access network (CF-RAN) architecture with a minimum footprint of communication resources.

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network

no code implementations7 Oct 2023 Zhenyu Tao, Wei Xu, Xiaohu You

The proliferation of diverse wireless services in 5G and beyond has led to the emergence of network slicing technologies.

Decision Making Q-Learning

Large AI Model Empowered Multimodal Semantic Communications

no code implementations3 Sep 2023 Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You

To this end, we propose a Large AI Model-based Multimodal SC (LAM-MSC) framework, in which we first present the MLM-based Multimodal Alignment (MMA) that utilizes the MLM to enable the transformation between multimodal and unimodal data while preserving semantic consistency.

Language Modelling Large Language Model

Large AI Model-Based Semantic Communications

no code implementations7 Jul 2023 Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You

Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed-reality, and the Internet of everything.

Mixed Reality

Joint Uplink and Downlink Resource Allocation Towards Energy-efficient Transmission for URLLC

no code implementations25 May 2023 Kang Li, Pengcheng Zhu, Yan Wang, Fu-Chun Zheng, Xiaohu You

With the proposed packet delivery mechanism, we jointly optimize bandwidth allocation and power control of uplink and downlink, antenna configuration, and subchannel assignment to minimize the average total power under the constraint of URLLC transmission requirements.

Self-information Domain-based Neural CSI Compression with Feature Coupling

no code implementations30 Apr 2023 Ziqing Yin, Renjie Xie, Wei Xu, Zhaohui Yang, Xiaohu You

The proposed SD-CsiNet projects the raw CSI onto a self-information matrix in the newly-defined self-information domain, extracts both temporal and spatial features of the self-information matrix, and then couples these two features for effective compression.

Performance Analysis and Low-Complexity Design for XL-MIMO with Near-Field Spatial Non-Stationarities

no code implementations31 Mar 2023 Kangda Zhi, Cunhua Pan, Hong Ren, Kok Keong Chai, Cheng-Xiang Wang, Robert Schober, Xiaohu You

Our analytical results indicate that a limited part of the XL-array receives the majority of the signal power in the near field, which leads to a notion of visibility region (VR) of a user.

On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds

no code implementations28 Feb 2023 Cheng-Xiang Wang, Xiaohu You, Xiqi Gao, Xiuming Zhu, Zixin Li, Chuan Zhang, Haiming Wang, Yongming Huang, Yunfei Chen, Harald Haas, John S. Thompson, Erik G. Larsson, Marco Di Renzo, Wen Tong, Peiying Zhu, Xuemin, Shen, H. Vincent Poor, Lajos Hanzo

A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc.

Deep Learning-Based Modeling of 5G Core Control Plane for 5G Network Digital Twin

no code implementations14 Feb 2023 Zhenyu Tao, Yongliang Guo, Guanghui He, Yongming Huang, Xiaohu You

However, the intricate structure and diverse functionalities of the existing 5G core network, especially the control plane, present challenges in constructing core network digital twins.

Link-level simulator for 5G localization

1 code implementation26 Dec 2022 Xinghua Jia, Peng Liu, Wangdong Qi, Shengheng Liu, Yongming Huang, Wang Zheng, Mengguan Pan, Xiaohu You

Channel-state-information-based localization in 5G networks has been a promising way to obtain highly accurate positions compared to previous communication networks.

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.

Low Altitude 3-D Coverage Performance Analysis in Cell-Free Distributed Collaborative Massive MIMO Systems

no code implementations28 Jun 2022 Jiamin Li, Qijun Pan, Pengcheng Zhu, Dongming Wang, Xiaohu You

To improve the poor performance of distributed operation and non-scalability of centralized operation in traditional cell-free massive MIMO, we propose a cell-free distributed collaborative (CFDC) massive multiple-input multiple-output (MIMO) system based on a novel two-layer model to take advantages of the distributed cloud-edge-end collaborative architecture in beyond 5G (B5G) internet of things (IoT) environment to provide strong flexibility and scalability.

Real-time Dual-channel 2 * 2 MIMO Fiber-THz-Fiber Seamless Integration System at 385 GHz and 435 GHz

no code implementations24 Jun 2022 Jiao Zhang, Min Zhu, Bingchang Hua, Mingzheng Lei, Yuancheng Cai, Liang Tian, Yucong Zou, Like Ma, Yongming Huang, Jianjun Yu, Xiaohu You

We demonstrate the first practical real-time dual-channel fiber-THz-fiber 2 * 2 MIMO seamless integration system with a record net data rate of 2 * 103. 125 Gb/s at 385 GHz and 435 GHz over two spans of 20 km SSMF and 3 m wireless link.

Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks

no code implementations23 Jun 2022 Yunwei Tao, Yanxiang Jiang, Fu-Chun Zheng, Pengcheng Zhu, Dusit Niyato, Xiaohu You

To utilize the computing resources of other fog access points (F-APs) and to reduce the communications overhead, we propose a quantized federated learning (FL) framework combining with Bayesian learning.

Federated Learning

Efficient Joint DOA and TOA Estimation for Indoor Positioning with 5G Picocell Base Stations

no code implementations20 Jun 2022 Mengguan Pan, Peng Liu, Shengheng Liu, Wangdong Qi, Yongming Huang, Xiaohu You, Xinghua Jia, XiaoDong Li

Secondly, based on the deployment reality that 5G picocell gNBs only have a small-scale antenna array but have a large signal bandwidth, the proposed scheme decouples the estimation of time-of-arrival (TOA) and direction-of-arrival (DOA) to reduce the huge complexity induced by two-dimensional joint processing.

Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach

no code implementations13 Jun 2022 Lingling Zhang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You

In this paper, by considering time-varying network environment, a dynamic computation offloading and resource allocation problem in F-RANs is formulated to minimize the task execution delay and energy consumption of MDs.

Federated Learning Reinforcement Learning (RL)

Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach

no code implementations13 Jun 2022 Zhiheng Wang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You

Based on clustered federated learning, we propose a novel mobility-aware popularity prediction policy, which integrates content popularities in terms of local users and mobile users.

Federated Learning

Semi-supervised MIMO Detection Using Cycle-consistent Generative Adversarial Network

no code implementations8 Jun 2022 Hongzhi Zhu, Yongliang Guo, Wei Xu, Xiaohu You

In this paper, a new semi-supervised deep multiple-input multiple-output (MIMO) detection approach using a cycle-consistent generative adversarial network (CycleGAN) is proposed for communication systems without any prior knowledge of underlying channel distributions.

Generative Adversarial Network

Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios

no code implementations6 Jun 2022 Cheng-Xiang Wang, Zhen Lv, Xiqi Gao, Xiaohu You, Yang Hao, Harald Haas

In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios.

Hybrid Beamforming for Millimeter Wave MIMO Integrated Sensing and Communications

no code implementations12 Mar 2022 Chenhao Qi, Wei Ci, Jinming Zhang, Xiaohu You

In this letter, we consider hybrid beamforming for millimeter wave (mmWave) MIMO integrated sensing and communications (ISAC).

A Novel 3D Non-Stationary GBSM for 6G THz Ultra-Massive MIMO Wireless Systems

no code implementations14 Aug 2021 Jun Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao

Terahertz (THz) communication is now being considered as one of possible technologies for the sixth generation (6G) wireless communication systems.

Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems

no code implementations26 Jan 2021 Jun Xu, Xiaodong Wang, Pengcheng Zhu, Xiaohu You

We consider a cell-free hybrid massive multiple-input multiple-output (MIMO) system with $K$ users and $M$ access points (APs), each with $N_a$ antennas and $N_r< N_a$ radio frequency (RF) chains.

Low-Rank Matrix Completion Information Theory Signal Processing Information Theory

A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond

no code implementations17 Jan 2021 Ji Bian, Cheng-Xiang Wang, Xiqi Gao, Xiaohu You, Minggao Zhang

In this paper, a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for the fifth generation (5G) and beyond 5G (B5G) systems is proposed.

True-data Testbed for 5G/B5G Intelligent Network

no code implementations26 Nov 2020 Yongming Huang, Shengheng Liu, Cheng Zhang, Xiaohu You, Hequan Wu

Future beyond fifth-generation (B5G) and sixth-generation (6G) mobile communications will shift from facilitating interpersonal communications to supporting Internet of Everything (IoE), where intelligent communications with full integration of big data and artificial intelligence (AI) will play an important role in improving network efficiency and providing high-quality service.

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.

6G Oriented Wireless Communication Channel Characteristics Analysis and Modeling

no code implementations28 Jul 2020 Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao

Based on the vision on the 6G wireless communication network, i. e., global coverage, all spectrums and all applications, we comprehensively survey 6G related wireless channel measurements, channel characteristics, and channel models for all frequency bands and all scenarios.

Polar Decoding on Sparse Graphs with Deep Learning

no code implementations24 Nov 2018 Weihong Xu, Xiaohu You, Chuan Zhang, Yair Be'ery

In this paper, we present a sparse neural network decoder (SNND) of polar codes based on belief propagation (BP) and deep learning.

Improving Massive MIMO Belief Propagation Detector with Deep Neural Network

no code implementations2 Apr 2018 Xiaosi Tan, Weihong Xu, Yair Be'ery, Zaichen Zhang, Xiaohu You, Chuan Zhang

Numerical results are presented to demonstrate the performance of the DNN detectors in comparison with various BP modifications.

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