no code implementations • 29 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.
no code implementations • 19 Dec 2024 • Qimei Cui, Xiaohu You, Wei Ni, Guoshun Nan, Xuefei Zhang, Jianhua Zhang, Xinchen Lyu, Ming Ai, Xiaofeng Tao, Zhiyong Feng, Ping Zhang, Qingqing Wu, Meixia Tao, Yongming Huang, Chongwen Huang, Guangyi Liu, Chenghui Peng, Zhiwen Pan, Tao Sun, Dusit Niyato, Tao Chen, Muhammad Khurram Khan, Abbas Jamalipour, Mohsen Guizani, Chau Yuen
The first stage, AI for Network, focuses on employing AI to augment network performance, optimize efficiency, and enhance user service experiences.
no code implementations • 17 Dec 2024 • Qinyu Zhang, Liang Xu, Jianhao Huang, Tao Yang, Jian Jiao, Ye Wang, Yao Shi, Chiya Zhang, Xingjian Zhang, Ke Zhang, Yupeng Gong, Na Deng, Nan Zhao, Zhen Gao, Shujun Han, Xiaodong Xu, Li You, Dongming Wang, Shan Jiang, Dixian Zhao, Nan Zhang, Liujun Hu, Xiongwen He, Yonghui Li, Xiqi Gao, Xiaohu You
In this context, the distributed satellite information networks (DSIN), exemplified by the cohesive clustered satellites system, have emerged as an innovative architecture, bridging information gaps across diverse satellite systems, such as communication, navigation, and remote sensing, and establishing a unified, open information network paradigm to support resilient space information services.
no code implementations • 14 Dec 2024 • Shengheng Liu, Zihuan Mao, Xingkang Li, Mengguan Pan, Peng Liu, Yongming Huang, Xiaohu You
Here we reformulate the direction finding or angle-of-arrival (AoA) estimation problem as an image recovery task of the spatial spectrum and propose a new model-driven deep neural network (MoD-DNN) framework.
no code implementations • 30 Nov 2024 • Haochen Li, Yuanwei Liu, Xidong Mu, Yue Chen, Zhiwen Pan, Xiaohu You
The secondary network sum rate maximization problem is first formulated for the STAR-RIS aided MIMO CR system.
no code implementations • 8 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).
no code implementations • 6 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).
no code implementations • 10 Oct 2024 • Zhenyu Tao, Wei Xu, Xiaohu You
Optimization of user association in a densely deployed heterogeneous cellular network is usually challenging and even more complicated due to the dynamic nature of user mobility and fluctuation in user counts.
no code implementations • 8 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.
no code implementations • 2 Sep 2024 • YanFeng Hu, Dongming Wang, Xiaohu You
By combining cell-free network architecture with OTFS modulation, the system may meet the demands of massive random access required by machine-type communication devices in high-speed scenarios.
no code implementations • 29 Jul 2024 • Zhenyu Tao, Wei Xu, Xiaohu You
In this paper, we harness the intrinsic correlation between street maps and trajectories and develop a novel zero-shot trajectory generation method, named Map2Traj, by exploiting the diffusion model.
no code implementations • 29 Jun 2024 • Michael Wang, Lei Wang, Xiaohu You
It is shown that the most widely used modulation schemes for mIoT traffic signals, e. g., FSK and LoRa modulation, are simply subsets of the canonical waveform.
no code implementations • 12 Jun 2024 • Fan Zeng, Ruoyun Liu, Xiaoyu Sun, Jingxuan Yu, Jiamin Li, Pengchen Zhu, Dongming Wang, Xiaohu You
Simulation results demonstrate that the NAFD-based ISAC system proposed in this paper can achieve significantly better communication performance than other ISAC systems while ensuring minimal impact on sensing performance.
no code implementations • 29 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.
no code implementations • 16 Apr 2024 • Yongming Huang, Xiaohu You, Hang Zhan, Shiwen He, Ningning Fu, Wei Xu
In this paper, we propose a solution, termed the pervasive multi-level (PML) native AI architecture, which integrates the concept of knowledge graph (KG) into the intelligent operational manipulations of mobile networks, resulting in the establishment of a wireless data KG.
no code implementations • 25 Mar 2024 • Tuo Wu, Cunhua Pan, Kangda Zhi, Hong Ren, Maged Elkashlan, Cheng-Xiang Wang, Robert Schober, Xiaohu You
Then our objective is to regain the information lost from the faulty elements and reconstruct the complete high-dimensional RIS information for localization.
no code implementations • 9 Mar 2024 • Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You
Semantic Communication (SC) is a novel paradigm for data transmission in 6G.
no code implementations • 4 Mar 2024 • Zhenkun Zhang, Hong Ren, Cunhua Pan, Sheng Hong, Dongming Wang, Jiangzhou Wang, Xiaohu You
Then, the target locations are estimated in Stage II based on these range measurements.
no code implementations • 15 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.
1 code implementation • 14 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.
no code implementations • 29 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 increasing attention as a promising technology for intricate wireless networks.
no code implementations • 28 Nov 2023 • Zhengming Zhang, Yongming Huang, Cheng Zhang, Qingbi Zheng, Luxi Yang, Xiaohu You
In this paper, a framework consisting of a digital twin and reinforcement learning agents is present to handle the issue.
no code implementations • 10 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.
no code implementations • 7 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.
no code implementations • 3 Sep 2023 • Feibo Jiang, Li Dong, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You
To this end, we propose a Large AI Model-based Multimodal SC (LAM-MSC) framework, where 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.
no code implementations • 16 Aug 2023 • Feng Shu, Baihua Shi, YiWen Chen, Jiatong Bai, YiFan Li, Tingting Liu, Zhu Han, Xiaohu You
To address this problem, a new heterogeneous sub-connected hybrid analog and digital (HAD) MIMO structure is proposed with an intrinsic ability of removing phase ambiguity and a corresponding new framework is developed to implement a rapid high-precision DOA estimation using only single time-slot.
no code implementations • 7 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.
no code implementations • 25 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.
no code implementations • 30 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.
no code implementations • 31 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.
no code implementations • 28 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.
no code implementations • 14 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.
1 code implementation • 26 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.
no code implementations • 16 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.
no code implementations • 28 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.
no code implementations • 24 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.
no code implementations • 23 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.
no code implementations • 23 Jun 2022 • Yanxiang Jiang, Min Zhang, Fu-Chun Zheng, Yan Chen, Mehdi Bennis, Xiaohu You
In this paper, cooperative edge caching problem is studied in fog radio access networks (F-RANs).
no code implementations • 20 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.
no code implementations • 13 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.
no code implementations • 13 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.
no code implementations • 8 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.
no code implementations • 6 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.
no code implementations • 12 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).
no code implementations • 14 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.
no code implementations • 26 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
no code implementations • 17 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.
no code implementations • 26 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.
no code implementations • 9 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.
no code implementations • 28 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.
no code implementations • 27 Feb 2019 • Liuyang Lu, Yanxiang Jiang, Mehdi Bennis, Zhiguo Ding, Fu-Chun Zheng, Xiaohu You
In this paper, the distributed edge caching problem in fog radio access networks (F-RANs) is investigated.
no code implementations • 24 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.
no code implementations • 2 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.