1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.
no code implementations • CVPR 2018 • Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu
The recovered layout is then used to guide shape estimation of the remaining objects using their normal information.
no code implementations • ECCV 2018 • Shi Jin, Ruiynag Liu, Yu Ji, Jinwei Ye, Jingyi Yu
The bullet-time effect, presented in feature film ``The Matrix", has been widely adopted in feature films and TV commercials to create an amazing stopping-time illusion.
no code implementations • 17 Sep 2018 • Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu
Intelligent communication is gradually considered as the mainstream direction in future wireless communications.
no code implementations • 17 Dec 2018 • Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
From the OTA test, the AI-aided OFDM receivers, especially the SwitchNet receiver, are robust to real environments and promising for future communication systems.
no code implementations • 12 Mar 2019 • Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
The AI receiver includes a channel estimation neural network (CE-NET) and a signal detection neural network based on orthogonal approximate message passing (OAMP), called OAMP-NET.
Information Theory Information Theory
no code implementations • 4 May 2019 • Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
The DL-OAMP receiver includes a channel estimation neural network (CE-Net) and a signal detection neural network based on OAMP, called OAMP-Net.
1 code implementation • 3 Jun 2019 • Jiang Zhu, Chao-Kai Wen, Jun Tong, Chongbin Xu, Shi Jin
Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) system.
Signal Processing Information Theory Information Theory
1 code implementation • 14 Jun 2019 • Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency.
Signal Processing Information Theory Information Theory
no code implementations • 22 Jul 2019 • Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
In this paper, we investigate the model-driven deep learning (DL) for MIMO detection.
no code implementations • 31 Jul 2019 • Jiajia Guo, Jinghe Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Deep learning (DL) has achieved great success in signal processing and communications and has become a promising technology for future wireless communications.
Information Theory Signal Processing Information Theory
no code implementations • 31 Jul 2019 • Qisheng Wang, Keming Feng, Xiao Li, Shi Jin
In this letter, we investigate the hybrid beamforming for millimeter wave massive multiple-input multiple-output (MIMO) system based on deep reinforcement learning (DRL).
no code implementations • 24 Sep 2019 • Chao Lu, Wei Xu, Shi Jin, Kezhi Wang
Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology.
Information Theory Signal Processing Information Theory
no code implementations • 1 Nov 2019 • Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
Specifically, the theoretical bound reveals the following three key properties: 1) There is a tradeoff between the convergence performance and privacy protection levels, i. e., a better convergence performance leads to a lower protection level; 2) Given a fixed privacy protection level, increasing the number $N$ of overall clients participating in FL can improve the convergence performance; 3) There is an optimal number of maximum aggregation times (communication rounds) in terms of convergence performance for a given protection level.
no code implementations • 7 Nov 2019 • Keming Feng, Xiao Li, Yu Han, Shi Jin, Yijian Chen
In this letter, the use of intelligent reflecting surface (IRS) to enhance the physical layer security of downlink wireless communication is investigated.
no code implementations • 13 Nov 2019 • Wankai Tang, Ming Zheng Chen, Xiangyu Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Yong Zeng, Shi Jin, Qiang Cheng, Tie Jun Cui
The measurement results match well with the modeling results, thus validating the proposed free-space path loss models for RIS, which may pave the way for further theoretical studies and practical applications in this field.
no code implementations • 19 Nov 2019 • Weihua Xu, Feifei Gao, Shi Jin, Ahmed Alkhateeb
In this paper, we present a novel framework of 3D scene based beam selection for mmWave communications that relies only on the environmental data and deep learning techniques.
no code implementations • 20 Dec 2019 • Wankai Tang, Jun Yan Dai, Ming Zheng Chen, Kai-Kit Wong, Xiao Li, Xinsheng Zhao, Shi Jin, Qiang Cheng, Tie Jun Cui
Reconfigurable intelligent surface (RIS) is a new paradigm that has great potential to achieve cost-effective, energy-efficient information modulation for wireless transmission, by the ability to change the reflection coefficients of the unit cells of a programmable metasurface.
no code implementations • 6 Mar 2020 • Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
These enhancements are tasked with the precise retrieval and fusion of shared and individual data.
Information Theory Signal Processing Information Theory
1 code implementation • 17 Mar 2020 • Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future.
no code implementations • 1 May 2020 • Zheng Cao, Wan-Ting Shih, Jiajia Guo, Chao-Kai Wen, Shi Jin
We develop a DL based CSI feedback network in this study to complete the feedback of CSI effectively.
Information Theory Signal Processing Information Theory
no code implementations • 4 May 2020 • Ning Gao, Yong Zeng, Jian Wang, Di wu, Chaoyue Zhang, Qingheng Song, Jiachen Qian, Shi Jin
In this paper, via extensive flight experiments, we aim to firstly validate the recently derived theoretical energy model for rotary-wing UAVs, and then develop a general model for those complicated flight scenarios where rigorous theoretical model derivation is quite challenging, if not impossible.
no code implementations • 9 May 2020 • Weicong Chen, Lin Bai, Wankai Tang, Shi Jin, Wei Xiang Jiang, Tie Jun Cui
The existing phase shifter models adopted for reconfigurable intelligent surfaces (RISs) have ignored the electromagnetic (EM) waves propagation behavior, thus cannot reveal practical effects of RIS on wireless communication systems.
no code implementations • 21 May 2020 • Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang
Recent years have witnessed the rapid proliferation of backscatter technologies that realize the ubiquitous and long-term connectivity to empower smart cities and smart homes.
no code implementations • 16 Jun 2020 • Yunfeng He, Jing Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
The TurboNet inherits the superiority of the max-log-MAP algorithm and DL tools and thus presents excellent error-correction capability with low training cost.
no code implementations • 27 Jun 2020 • Yunfeng He, Hengtao, He, Chao-Kai Wen, Shi Jin
Constant envelope (CE) precoding design is of great interest for massive multiuser multi-input multi-output systems because it can significantly reduce hardware cost and power consumption.
no code implementations • 30 Jun 2020 • Hengtao He, Rui Wang, Weijie Jin, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
By utilizing the Stein's unbiased risk estimator loss, the LDGEC network can be trained only with limited measurements corresponding to the pilot symbols, instead of the real channel data.
no code implementations • 27 Jul 2020 • Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang
Specifically, we aim to maximize the worst-case signal-to-noise ratio (SNR) over all locations in a target area by jointly optimizing the transmit beamforming for the source node and the placement as well as 3D passive beamforming for the AIRS.
no code implementations • 19 Aug 2020 • Lingyun Zhou, Xihan Chen, Mingyi Hong, Shi Jin, Qingjiang Shi
Unmanned aerial vehicle (UAV) swarm has emerged as a promising novel paradigm to achieve better coverage and higher capacity for future wireless network by exploiting the more favorable line-of-sight (LoS) propagation.
1 code implementation • 1 Sep 2020 • Shi Jin, Kenneth J. Roche, Ionel Stetcu, Ibrahim Abdurrahman, Aurel Bulgac
Nuclear implementation of the density functional theory (DFT) is at present the only microscopic framework applicable to the whole nuclear landscape.
Nuclear Theory
no code implementations • 28 Sep 2020 • Jie Yang, Jing Xu, Xiao Li, Shi Jin, Bo Gao
As the fifth-generation (5G) mobile communication system is being commercialized, extensive studies on the evolution of 5G and sixth-generation mobile communication systems have been conducted.
no code implementations • 4 Oct 2020 • Shi Jin, Lei LI, Zhenli Xu, Yue Zhao
We develop a random batch Ewald (RBE) method for molecular dynamics simulations of particle systems with long-range Coulomb interactions, which achieves an $O(N)$ complexity in each step of simulating the $N$-body systems.
Computational Physics 65C35, 82M37, 65T50
no code implementations • 29 Oct 2020 • Wei Chen, BoWen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong
Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications.
no code implementations • 3 Dec 2020 • Weicong Chen, Xi Yang, Shi Jin, Pingping Xu
An approximated ergodic spectral efficiency of the SAoS aided system is derived and the performance impact of the SAoS design is evaluated.
Information Theory Information Theory
no code implementations • 8 Dec 2020 • Jing Zhang, Yunfeng He, Yu-Wen Li, Chao-Kai Wen, Shi Jin
An unfolded turbo decoding module, called TurboNet, is used for channel decoding.
1 code implementation • 12 Dec 2020 • Zijian Kuang, Xinran Tie, Lihang Ying, Shi Jin
In this paper, we overcome these challenges and design a three-stage plug-and-play fully automated unsupervised 360-degree defect detection system.
1 code implementation • 12 Jan 2021 • Chang-Jen Wang, Chao-Kai Wen, Shang-Ho, Tsai, Shi Jin, Geoffrey Ye Li
In particular, we introduce a hypernetwork to generate the damping factors for GEC-SR.
no code implementations • 12 Jan 2021 • Jiajia Guo, Chao-Kai Wen, Shi Jin
The user equipment in the latter one directly feeds back the received pilot signals to the base station.
no code implementations • 21 Jan 2021 • Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Shi Jin, Qiang Cheng, Tie Jun Cui
The refined model gives more accurate estimates of the path loss of RISs comprised of unit cells with a deep sub-wavelength size.
no code implementations • 1 Feb 2021 • Qisheng Wang, Xiao Li, Shi Jin, Yijiain Chen
In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) system.
no code implementations • 19 Feb 2021 • Di wu, Yong Zeng, Shi Jin, Rui Zhang
Two instances of CKM are proposed for beam alignment in mmWave massive MIMO systems, namely channel path map (CPM) and beam index map (BIM).
no code implementations • 5 Mar 2021 • Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Shi Jin, Qiang Cheng, Geoffrey Ye Li, Tie Jun Cui
Channel reciprocity greatly facilitates downlink precoding in time-division duplexing (TDD) multiple-input multiple-output (MIMO) communications without the need for channel state information (CSI) feedback.
Information Theory Information Theory
no code implementations • 15 Mar 2021 • Wan-Ting Shih, Chao-Kai Wen, Shang-Ho, Tsai, Shi Jin
In this method, only one antenna module is used for the reception to predict the best beam of other antenna modules.
no code implementations • 28 Apr 2021 • Weijie Jin, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Channel estimation in wideband millimeter-wave (mmWave) systems is very challenging due to the beam squint effect.
no code implementations • 21 May 2021 • Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang
By using environment information, the NNs can achieve a more refined mapping between the precoding matrix and the PMI compared with codebooks.
no code implementations • 6 Jun 2021 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Even if semantic communication has been successfully applied in the sentence transmission to reduce semantic errors, existing architecture is usually fixed in the codeword length and is inefficient and inflexible for the varying sentence length.
no code implementations • 12 Jun 2021 • Han Xiao, Zhiqin Wang, Wenqiang Tian, Xiaofeng Liu, Wendong Liu, Shi Jin, Jia Shen, Zhi Zhang, Ning Yang
In this paper, we give a systematic description of the 1st Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AI Work Group.
no code implementations • 20 Jun 2021 • Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
Then, we convert the MAMAB to a max-min bipartite matching problem at each communication round, by estimating rewards with the upper confidence bound (UCB) approach.
no code implementations • 9 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.
no code implementations • 27 Jan 2022 • Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.
no code implementations • 26 Mar 2022 • Jie Zhang, Jun Li, Yijin Zhang, Qingqing Wu, Xiongwei Wu, Feng Shu, Shi Jin, Wen Chen
Intelligent reflecting surface (IRS) is envisioned to be widely applied in future wireless networks.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 16 Apr 2022 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
In this paper, we initially establish a basal semantic video conferencing (SVC) network, which dramatically reduces transmission resources while only losing detailed expressions.
no code implementations • 27 Apr 2022 • Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Shi Jin, Shuangfeng Han, XiaoYun Wang
One efficient CSI feedback method is the Auto-Encoder (AE) structure based on deep learning, yet facing problems in actual deployments, such as selecting the deployment mode when deploying in a cell with multiple complex scenarios.
no code implementations • 17 May 2022 • Zhuoyin Dai, Ruoguang Li, Jingran Xu, Yong Zeng, Shi Jin
We first derive the achievable communication rates of the active primary user and passive secondary user under the assumption of perfect channel state information (CSI), based on which the transmit beamforming of the cellfree APs is optimized to characterize the achievable rate-region of cell-free symbiotic communication systems.
1 code implementation • 11 Jun 2022 • Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
Neural message passing is a basic feature extraction unit for graph-structured data considering neighboring node features in network propagation from one layer to the next.
no code implementations • 16 Jun 2022 • Han Xiao, Zhiqin Wang, Dexin Li, Wenqiang Tian, Xiaofeng Liu, Wendong Liu, Shi Jin, Jia Shen, Zhi Zhang, Ning Yang
This paper is based on the background of the 2nd Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AIWork Group, where the framework of the eigenvector-based channel state information (CSI) feedback problem is firstly provided.
no code implementations • 29 Jun 2022 • Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Many performance gains achieved by massive multiple-input and multiple-output depend on the accuracy of the downlink channel state information (CSI) at the transmitter (base station), which is usually obtained by estimating at the receiver (user terminal) and feeding back to the transmitter.
no code implementations • 30 Jun 2022 • Jiajia Guo, Chao-Kai Wen, Shi Jin, Xiao Li
This article provides a guideline for the standardization study of AI-based CSI feedback enhancement.
no code implementations • 24 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.
no code implementations • 31 Aug 2022 • Chengleyang Lei, Wei Feng, Jue Wang, Shi Jin, Ning Ge
This letter presents a sensing-communication-computing-control (SC3) integrated satellite unmanned aerial vehicle (UAV) network, where the UAV is equipped with on-board sensors, mobile edge computing (MEC) servers, base stations and satellite communication module.
no code implementations • 2 Oct 2022 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Therefore, the novel semantic-based coding methods and performance metrics have been investigated and the designed semantic systems consist of various modules as in the conventional communications but with improved functions.
no code implementations • 25 Oct 2022 • Zhangjie Peng, Tianshu Li, Cunhua Pan, Xianfu Lei, Shi Jin
This paper considers an active reconfigurable intelligent surface (RIS)-aided communication system, where an M-antenna base station (BS) transmits data symbols to a single-antenna user via an N-element active RIS.
no code implementations • 31 Oct 2022 • Yiming Cui, Jiajia Guo, Zheng Cao, Huaze Tang, Chao-Kai Wen, Shi Jin, Xin Wang, Xiaolin Hou
Firstly, an autoencoder KD-based method is introduced by training a student autoencoder to mimic the reconstructed CSI of a pretrained teacher autoencoder.
no code implementations • 4 Nov 2022 • Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin
The explosive growth of dynamic and heterogeneous data traffic brings great challenges for 5G and beyond mobile networks.
no code implementations • 24 Mar 2023 • Yiming Cui, Jiajia Guo, Chao-Kai Wen, Shi Jin
Additionally, since the heterogeneity of CSI datasets in different UEs can degrade the performance of the FEEL-based framework, we introduce a personalization strategy to improve feedback performance.
no code implementations • 23 Apr 2023 • Yuhua Jiang, Feifei Gao, Yimin Liu, Shi Jin, Tiejun Cui
We then provide a RIS design scheme for virtual EM masks by employing a regularization technique.
no code implementations • 19 May 2023 • Shun Zhang, Haoran Sun, Runze Yu, Hongshenyuan Cui, Jian Ren, Feifei Gao, Shi Jin, Hongxiang Xie, Hao Wang
In particular, we adopt a self-developed broadband intelligent communication system 40MHz-Net (BICT-40N) terminal in order to fully acquire the channel information.
no code implementations • 26 May 2023 • Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang
In this paper, we propose a probabilistic device scheduling framework for over-the-air FL, named PO-FL, to mitigate the negative impact of channel noise, where each device is scheduled according to a certain probability and its model update is reweighted using this probability in aggregation.
no code implementations • 28 Jun 2023 • Keke Wu, Xiong-bin Yan, Shi Jin, Zheng Ma
In this paper, we introduce two types of novel Asymptotic-Preserving Convolutional Deep Operator Networks (APCONs) designed to address the multiscale time-dependent linear transport problem.
no code implementations • 30 Jul 2023 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Simulation results demonstrate the adaptability and efficiency of the RIS-SC framework across diverse channel conditions and user requirements.
no code implementations • 4 Aug 2023 • Rui Wang, Zhaorui Wang, Liang Liu, Shuowen Zhang, Shi Jin
Different from the uplink counterpart where the BS possesses the pilot signals containing the CSI of all the users, in downlink communication, the distributed users merely receive the pilot signals containing their own CSI and cannot leverage the correlation in different users' channels revealed in [1].
no code implementations • 12 Aug 2023 • Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
However, optimal MIMO detection is associated with a complexity that grows exponentially with the MIMO dimensions and quickly becomes impractical.
no code implementations • 23 Sep 2023 • Peiwen Jiang, Chao-Kai Wen, Xinping Yi, Xiao Li, Shi Jin, Jun Zhang
Foundation models (FMs), including large language models, have become increasingly popular due to their wide-ranging applicability and ability to understand human-like semantics.
no code implementations • 16 Oct 2023 • Yafei Wang, Hongwei Hou, Wenjin Wang, Xinping Yi, Shi Jin
It is observed that the received SLP signals do not always follow Gaussian distribution, rendering the conventional soft demodulation with the Gaussian assumption unsuitable for the coded SLP systems.
no code implementations • 24 Oct 2023 • Han Xiao, Wenqiang Tian, Wendong Liu, Jiajia Guo, Zhi Zhang, Shi Jin, Zhihua Shi, Li Guo, Jia Shen
In this article, a knowledge-driven meta-learning approach is proposed, where the DL model initialized by the meta model obtained from meta training phase is able to achieve rapid convergence when facing a new scenario during target retraining phase.
no code implementations • 24 Oct 2023 • Zhiyi Li, Jida Zhang, Jieao Zhu, Shi Jin, Linglong Dai
To address this issue, in this paper, we first utilize a practical power model for a RIS-assisted multi-user multiple-input single-output (MU-MISO) communication system, which takes into account the difference in power dissipation caused by ON-OFF states of RIS's PIN diodes.
no code implementations • 14 Nov 2023 • Xinyu Li, Jian Wei You, Ze Gu, Qian Ma, Long Chen, Jingyuan Zhang, Shi Jin, Tie Jun Cui
Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels.
1 code implementation • 22 Nov 2023 • Zijian Kuang, Lihang Ying, Shi Jin, Li Cheng
To address this challenge, we propose the combination of two-stage supervised and self-supervised training to address the challenge of obtaining animal cooperation for 3D scanning.
no code implementations • 26 Nov 2023 • Weijie Jin, Jing Zhang, Chao-Kai Wen, Shi Jin, Xiao Li, Shuangfeng Han
Reconfigurable intelligent surfaces (RIS) can improve signal propagation environments by adjusting the phase of the incident signal.
no code implementations • 27 Nov 2023 • Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Shi Jin
This paper proposes using neural architecture search (NAS) to automate the generation of scenario-customized CSI feedback NN architectures, thereby maximizing the potential of deep learning in exclusive environments.
no code implementations • 10 Dec 2023 • Hongwei Hou, Xuan He, Tianhao Fang, Xinping Yi, Wenjin Wang, Shi Jin
This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the beam-delay domain, taking into account the near-field and beam-squint effects due to the transmission bandwidth and array aperture growth.
no code implementations • 26 Dec 2023 • Zhen Du, Fan Liu, Yifeng Xiong, Tony Xiao Han, Yonina C. Eldar, Shi Jin
To cope with this issue, we characterize the random AF of OFDM communication signals, and demonstrate that the AF variance is determined by the fourth-moment of the constellation amplitudes.
no code implementations • 27 Dec 2023 • Hongliang Luo, Feifei Gao, Fan Liu, Shi Jin
Unlike most existing ISAC studies believing that only the radial velocity of far-field dynamic target can be measured based on one single base station (BS), we find that the sensing echo channel of MIMO-ISAC system actually includes the distance, horizontal angle, pitch angle, radial velocity, horizontal angular velocity, and pitch angular velocity of the dynamic target.
no code implementations • 27 Dec 2023 • Yuhua Jiang, Feifei Gao, Shi Jin
Specifically, we first establish an end-to-end EM propagation model by means of Maxwell equations, where the EM property of the target is captured by a closed-form expression of the ISAC channel, incorporating the Lippmann-Schwinger equation and the method of moments (MOM) for discretization.
no code implementations • 7 Feb 2024 • Yafei Wang, Xinping Yi, Hongwei Hou, Wenjin Wang, Shi Jin
With the signal model in the presence of channel aging, we formulate the signal-to-noise-plus-interference ratio (SINR) balancing and minimum mean square error (MMSE) problems for robust SLP design.
no code implementations • 17 Feb 2024 • Xiaolu Wang, Zijian Li, Shi Jin, Jun Zhang
Federated learning (FL) is an emerging distributed training paradigm that aims to learn a common global model without exchanging or transferring the data that are stored locally at different clients.
no code implementations • 8 Apr 2024 • Jie Zhang, Jun Li, Long Shi, Zhe Wang, Shi Jin, Wen Chen, H. Vincent Poor
By leveraging the power of DT models learned over extensive datasets, the proposed architecture is expected to achieve rapid convergence with many fewer training epochs and higher performance in a new context, e. g., similar tasks with different state and action spaces, compared with DRL.