Search Results for author: Xiaohu You

Found 20 papers, 0 papers with code

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

This paper investigates the performance of two-timescale transmission design for uplink reconfigurable intelligent surface (RIS)-aided cell-free massive multiple-input multiple-output (CF-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

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 MIMO detection approach using a cycle-consistent generative adversarial network (cycleGAN) is proposed, which performs the detection without any prior knowledge of underlying channel models.

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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