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Advanced 6 G wireless communication technologies for intelligent high-speed railways 认领 引用 被引量：3
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作者 Wei Chen Bo Ai +3 位作者 Yuxuan Sun Cong Yu Bowen Zhang Chau Yuen 《High-Speed Railway》 CSCD 2025年第1期78-92,共15页
The rapid expansion of railways,especially High-Speed Railways(HSRs),has drawn considerable interest from both academic and industrial sectors.To meet the future vision of smart rail communications,the rail transport ... The rapid expansion of railways,especially High-Speed Railways(HSRs),has drawn considerable interest from both academic and industrial sectors.To meet the future vision of smart rail communications,the rail transport industry must innovate in key technologies to ensure high-quality transmissions for passengers and railway operations.These systems must function effectively under high mobility conditions while prioritizing safety,ecofriendliness,comfort,transparency,predictability,and reliability.On the other hand,the proposal of 6 G wireless technology introduces new possibilities for innovation in communication technologies,which may truly realize the current vision of HSR.Therefore,this article gives a review of the current advanced 6 G wireless communication technologies for HSR,including random access and switching,channel estimation and beamforming,integrated sensing and communication,and edge computing.The main application scenarios of these technologies are reviewed,as well as their current research status and challenges,followed by an outlook on future development directions. 展开更多
关键词 High-speed railway Random access and switching Channel estimation and beamforming Integrated sensing and communication Edge computing
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AI-based Correction of Wave Forecasts Using the Transformer-enhanced UNet Model 认领 引用
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作者 Yanzhao CAO Shouwen ZHANG +2 位作者 Guannan LV Mengchao YU Bo AI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2025年第1期221-231,共11页
Grid forecasting can be used to effectively enhance the spatial and temporal density of forecast products,thereby improving the capability of short-term marine disaster forecasting and warnings in terms of proximity.T... Grid forecasting can be used to effectively enhance the spatial and temporal density of forecast products,thereby improving the capability of short-term marine disaster forecasting and warnings in terms of proximity.The traditional method that relies on forecasters'subjective correction of station observation data for forecasting has been unable to meet the practical needs of refined forecasting.To address this problem,this paper proposes a Transformer-enhanced UNet(TransUNet)model for wave forecast AI correction,which fuses wind and wave information.The Transformer structure is integrated into the encoder of the UNet model,and instead of using the traditional upsampling method,the dual-sampling module is employed in the decoder to enhance the feature extraction capability.This paper compares the TransUNet model with the traditional UNet model using wind speed forecast data,wave height forecast data,and significant wave height reanalysis data provided by ECMWF.The experimental results indicate that the TransUNet model yields smaller root-meansquare errors,mean errors,and standard deviations of the corrected results for the next 24-h forecasts than does the UNet model.Specifically,the root-mean-square error decreased by more than 21.55%compared to its precorrection value.According to the statistical analysis,87.81%of the corrected wave height errors for the next 24-h forecast were within±0.2m,with only 4.56%falling beyond±0.3 m.This model effectively limits the error range and enhances the ability to forecast wave heights. 展开更多
关键词 TransUNet Transformer wave forecasting bias correction
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Future 5G-Oriented System for Urban Rail Transit:Opportunities and Challenges 认领 引用 被引量：32
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作者 Junhui Zhao Jin Liu +2 位作者 Lihua Yang Bo Ai Shanjin Ni 《China Communications》 SCIE EI CSCD 2021年第2期1-12,共12页
As a development direction of urban rail transit system,the train autonomous circumambulate system(TACS)can operate in a safer,more efficient,and more economical mode.However,most urban rail transit systems transmit s... As a development direction of urban rail transit system,the train autonomous circumambulate system(TACS)can operate in a safer,more efficient,and more economical mode.However,most urban rail transit systems transmit signals through industrial,scientific,and medical(ISM)frequency bands or narrow frequency bands,which cannot meet the requirements of TACS.As a promising solution,the 5th generation(5G)mobile communication provides more services for the future urban rail transit systems,and covers the shortages of exiting communication technologies in terms of capacity and reliability.In this paper,we first briefly review the research status of current train control system and introduce its limitations.Next,we propose a novel network architecture,and present new technologies and requirements of the proposed architecture for TACS.Some potential challenges are then discussed to give insights for further research of TACS. 展开更多
关键词 urban rail transit train autonomous circumambulate system(TACS) prospective review the 5th-generation(5G) train to train(T2T)communication reinforcement learning(RL)
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Radio Communication Scenarios in 5G-Railways 认领 引用 被引量：4
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作者 Ruisi He Bo Ai +8 位作者 Zhangdui Zhong Mi Yang Chen Huang Ruifeng Chen Jianwen Ding Hang Mi Zhangfeng Ma Guiqi Sun Changzhu Liu 《China Communications》 SCIE CSCD 2023年第9期235-246,共12页
With the rapid development of railways,especially high-speed railways,there is an increasingly urgent demand for new wireless communication system for railways.Taking the mature 5G technology as an opportunity,5G-rail... With the rapid development of railways,especially high-speed railways,there is an increasingly urgent demand for new wireless communication system for railways.Taking the mature 5G technology as an opportunity,5G-railways(5G-R)have been widely regarded as a solution to meet the diversified demands of railway wireless communications.For the design,deployment and improvement of 5GR networks,radio communication scenario classification plays an important role,affecting channel modeling and system performance evaluation.In this paper,a standardized radio communication scenario classification,including 18 scenarios,is proposed for 5GR.This paper analyzes the differences of 5G-R scenarios compared with the traditional cellular networks and GSM-railways,according to 5G-R requirements and the unique physical environment and propagation characteristics.The proposed standardized scenario classification helps deepen the research of 5G-R and promote the development and application of the existing advanced technologies in railways. 展开更多
关键词 5G-R scenario classification smart rail-ways
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AI Assisted PHY in Future Wireless Systems: Recent Developments and Challenges 认领 引用 被引量：3
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作者 Wei Chen Ruisi He +5 位作者 Gongpu Wang Jiayi Zhang Fanggang Wang Ke Xiong Bo Ai Zhangdui Zhong 《China Communications》 SCIE EI CSCD 2021年第5期285-297,共13页
Nowadays,the rapid development of artificial intelligence(AI)provides a fresh perspective in designing future wireless communication systems.Innumerable attempts exploiting AI methods have been carried out,which resul... Nowadays,the rapid development of artificial intelligence(AI)provides a fresh perspective in designing future wireless communication systems.Innumerable attempts exploiting AI methods have been carried out,which results in the state-of-the-art performance in many different areas of wireless communications.In this article,we present the most recent and insightful developments that demonstrate the potentials of AI techniques in different physical layer(PHY)components and applications including channel characterization,channel coding,intelligent signal identification,channel estimation,new PHY for random access in massive machine-type communication(mMTC),massive multiple-input multiple-output(MIMO)power control and PHY resource management.Open challenges and potential future directions are identified and discussed along this research line. 展开更多
关键词 artificial intelligence wireless communications physical layer
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Key technologies for wireless network digital twin towards smart railways 认领 引用 被引量：4
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作者 Ke Guan Xinghai Guo +6 位作者 Danping He Philipp Svoboda Marion Berbineau Stephen Wang Bo Ai Zhangdui Zhong Markus Rupp 《High-Speed Railway》 2024年第1期1-10,共10页
An emerging railway technology called smart railway promises to deliver higher transportation efficiency,enhanced comfort in services,and greater eco-friendliness.The smart railway is expected to integrate fifth-gener... An emerging railway technology called smart railway promises to deliver higher transportation efficiency,enhanced comfort in services,and greater eco-friendliness.The smart railway is expected to integrate fifth-generation mobile communication(5G),Artificial Intelligence(AI),and other technologies,which poses new problems in the construction,operation and maintenance of railway wireless networks.Wireless Digital Twins(DTs),which have recently emerged as a new paradigm for the design of wireless networks,can address these problems and enable the whole lifecycle management of railway wireless networks.However,there are still many scientific issues and challenges for railway-oriented wireless DT.Relevant key technologies to solve these problems are introduced and described,including characterization of materials'physical-EM properties,autonomous reconstruction of Three-dimensional(3D)environment model,AI-empowered environmental cognition,Ray-Tracing(RT),model-based and AIbased RT acceleration,and generation of multi-spectra sensing data.Moreover,this paper presents our research results for each key technology and describes the wireless network planning and optimization system based on highperformance RT developed by our laboratory.This paper outlines the framework for realizing the wireless DT of smart railways,providing the direction for future research. 展开更多
关键词 Digital twin Smart railways Ray tracing Channel characterization
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Point cloud-based environment reconstruction and ray tracing simulations for railway tunnel channels 认领 引用 被引量：1
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作者 Ziyi Qi Ruisi He +6 位作者 Mi Yang Xuejian Zhang Bo Ai Weiming Li Shaopeng Wang Wenpu Sun Lizhe Li 《High-Speed Railway》 2023年第4期241-247,共7页
Radio propagation environment plays a critical role in the performance of wireless communication systems,and understanding channel characteristics is vital for ensuring reliable communication links and optimizing syst... Radio propagation environment plays a critical role in the performance of wireless communication systems,and understanding channel characteristics is vital for ensuring reliable communication links and optimizing system performance.Ray tracing is an effective method to investigate propagation characteristics in a complex environment,and how to quickly and accurately obtain environmental information needs to be solved.This paper presents dynamic environment reconstruction and ray tracing simulation in railway tunnel environment based on Simultaneous Localization and Mapping(SLAM)algorithm and Poisson reconstruction algorithm.Accurate channel parameters are obtained and analyzed based on ray tracing simulation.Both straight and curved tunnels are considered and investigated,and the results show the channel characteristics in complex railway tunnel environments. 展开更多
关键词 Railway communication Tunnels Ray tracing Environment reconstruction Wireless channel
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AoA-Based Channel Estimation for Massive MIMO OFDM Communication Systems on High Speed Rails 认领 引用 被引量：8
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作者 Yanrong Zhao Wenjing Zhao +3 位作者 Gongpu Wang Bo Ai Hervin Hidayat Putra Bagus Juliyanto 《China Communications》 SCIE CSCD 2020年第3期90-100,共11页
Channel estimation is a well-known challenge for wireless orthogonal frequency division multiplexing(OFDM)communication systems with massive antennas on high speed rails(HSRs).This paper investigates this problem and ... Channel estimation is a well-known challenge for wireless orthogonal frequency division multiplexing(OFDM)communication systems with massive antennas on high speed rails(HSRs).This paper investigates this problem and design two practicable uplink and downlink channel estimators for orthogonal frequency division multiplexing(OFDM)communication systems with massive antenna arrays at base station on HSRs.Specifically,we first use pilots to estimate the initial angle of arrival(AoA)and channel gain information of each uplink path through discrete Fourier transform(DFT),and then refine the estimates via the angle rotation technique and suggested pilot design.Based on the uplink angel estimation,we design a new downlink channel estimator for frequency division duplexing(FDD)systems.Additionally,we derive the Cramér-Rao lower bounds(CRLBs)of the AoA and channel gain estimates.Finally,numerical results are provided to corroborate our proposed studies. 展开更多
关键词 massive MIMO high speed rail channel estimation AoA OFDM
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OTFS Modulation and PAPR Reduction for IoT-Railways 认领 引用 被引量：8
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作者 Huichao Shang Ruifeng Chen +4 位作者 Haoxiang Zhang Guoyu Ma Ruisi He Bo Ai Zhangdui Zhong 《China Communications》 SCIE CSCD 2023年第1期102-113,共12页
The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and service.It is important to achieve reliable communication in IoT for railways(IoT-R)under high mobi... The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and service.It is important to achieve reliable communication in IoT for railways(IoT-R)under high mobility scenarios and strict energy constraints.Orthogonal time frequency space(OTFS)modulation is a two-dimensional modulation technique that has the potential to overcome the challenges in high Doppler environments.In addition,OTFS can have lower peak-to-average power ratio(PAPR)compared to orthogonal frequency division multiplexing,which is especially important for the application of IoT-R.Therefore,OTFS modulation for IoT-R is investigated in this paper.In order to decrease PAPR of OTFS and promote the application of OTFS modulation in IoT-R,the peak windowing technique is used in this paper.This technique can reduce the PAPR of OTFS by reducing the peak power and does not require multiple iterations.The impacts of different window functions,window sizes and clipping levels on PAPR and bit error rate of OTFS are simulated and discussed.The simulation results show that the peak windowing technique can efficiently reduce the PAPR of OTFS for IoT-R. 展开更多
关键词 internet of things for railways(IoT-R) orthogonal time frequency space(OTFS) peak-toaverage power ratio(PAPR) peak windowing
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A Novel Millimeter-Wave Channel Measurement Platform for 6G Intelligent Railway Scenarios 认领 引用 被引量：4
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作者 Dan Fei Chen Chen +4 位作者 Peng Zheng Dongsheng Zhang Jingya Yang Haoran Chen Bo Ai 《China Communications》 SCIE CSCD 2022年第11期60-73,共14页
This paper presented a novel millimeterwave channel measurement platform for the 6G intelligent railway.This platform used phased array antenna with 64 elements and can support instant bandwidth up to 1 GHz.Combined w... This paper presented a novel millimeterwave channel measurement platform for the 6G intelligent railway.This platform used phased array antenna with 64 elements and can support instant bandwidth up to 1 GHz.Combined with improved multi-tone sounding signals,the platform can enhance dynamic measurement capability in high-speed railway scenarios.We performed calibration works about frequency flatness,frequency offset and proved platform reliability with channel emulator based closed-loop verification.We also carried out field trials in high-speed railway carriage scenarios.Based on measurement results,we extracted channel characteristic parameters of path loss,power delay profile and delay spread to further verify the field measurement performance of the platform. 展开更多
关键词 6G millimeter-wave channel measurement phased array antenna high-speed railway
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Novel design of lubricant-type vacuum distillation process for lube base oils production from hydrocracking tail oil 认领 引用 被引量：2
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作者 Hui Pan Xinshuang Li +7 位作者 Yichao Shen Xiang Wu Feng Ju Yuzhe Li Gaosheng Wu Bo Ai Baoyun Xu Hao Ling 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2022年第5期121-132,共12页
Dividing-wall columns(DWCs)are widely used in the separation of ternary mixtures,but rarely seen in the separation of petroleum fractions.This work develops two novel and energy-efficient designs of lubricant-type vac... Dividing-wall columns(DWCs)are widely used in the separation of ternary mixtures,but rarely seen in the separation of petroleum fractions.This work develops two novel and energy-efficient designs of lubricant-type vacuum distillation process(LVDP)for the separation of hydroisomerization fractions(HIF)of a hydrocracking tail oil(HTO).First,the HTO hydroisomerization reaction is investigated in an experimental fixed-bed reactor to achieve the optimum liquid HIF by analyzing the impact of the operating conditions.A LVDP used for HIF separation is proposed and optimized.Subsequently,two thermal coupling intensified technologies,including side-stream(SC)and dividing-wall column(DWC),are combined with the LVDP to develop side-stream vacuum distillation process(SC-LVDP)and dividing-wall column vacuum distillation process(DWC-LVDP).The performance of LVDP,SC-LVDP,and DWC-LVDP are evaluated in terms of energy consumption,capital cost,total annual cost,product yields,and stripping steam consumption.The results demonstrates that the intensified processes,SC-LVDP and DWC-LVDP significantly decreases the energy consumption and capital cost compared with LVDP.DWC-LVDP further decreases in capital cost due to the removal of the side stripper and narrows the overlap between the third lube oils and fourth lube oils.This study attempts to combine DWC structure into the separation of petroleum fractions,and the proposed approach and the results presented provide an incentive for the industrial implementation of high-quality utilization of HTO through intensified LVDP. 展开更多
关键词 Hydrocracking tail oil Lubricant-type vacuum distillation process Thermal coupling intensified technology Dividing-wall column
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Resource Allocation in D2D-Aided High-Speed Railway Wireless Communication Systems: A Matching Theory Approach 认领 引用 被引量：1
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作者 Meilin Gao Bo Ai +3 位作者 Yong Niu Zhewei Zhang YanqingXu Dapeng Li 《China Communications》 SCIE CSCD 2017年第12期87-99,共13页
With the rapid deployment of high speed railway(HSR) worldwide,both safety operation and comfort experience can be desired to evolve into a future era of intelligent transportation system.To eliminate boredom and prov... With the rapid deployment of high speed railway(HSR) worldwide,both safety operation and comfort experience can be desired to evolve into a future era of intelligent transportation system.To eliminate boredom and provide entertainment for passengers,an intranet for internal communications among passengers named as onboard social network system(SNS) is needed.In this paper,the latest progress in HSR network architectures and technology building blocks are discussed to enable the implementation of the SNS.Meanwhile,based on the device-to-device(D2 D) communication technology for proximal information interaction,SNS can be efficiently facilitated.A dynamic resource allocation algorithm is proposed to maximize the total utility of the onboard SNS,which is solved with the matching theory method.Simulation results verify the convergence and efficiency of the proposed algorithm. 展开更多
关键词 D2D high speed railway match-ing theory resource allocation social networksystem
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Wireless channel estimation for high-speed rail communications:Challenges,solutions and future directions 认领 引用 被引量：4
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作者 Xuying Chen Wei Chen +2 位作者 Xiao Gong Bo Ai Ian Wassell 《High-Speed Railway》 2023年第1期18-22,共5页
With the development of High-Speed Rail(HSR),countries and individual passengers alike have enjoyed far ranging benefits as a result-economic,social,environment and in added convenience.One of the important parts of H... With the development of High-Speed Rail(HSR),countries and individual passengers alike have enjoyed far ranging benefits as a result-economic,social,environment and in added convenience.One of the important parts of HSR construction is the signaling system,where wireless communications play a key role in the transmission of train control data.Channel estimation has a significant impact on the quality of the wireless communication,however,whose performance is degraded due to the fast mobility of HSR.This paper focuses on the channel estimation technology in HSR.We first summarize the key challenges for HSR channel estimation,especially the Inter-Carrier Interference(ICI)faced by Orthogonal Frequency Division Multiplexing(OFDM)systems.Then we provide a comprehensive review of existing pilot-aided channel estimation schemes from three points:channel model,estimation algorithm,joint channel estimation and ICI mitigation schemes.Lastly,we present the challenges of channel estimation for the Orthogonal Time Frequency Space(OTFS)system and Reconfigurable Intelligent Surface(RIS),which are promising techniques for HSR systems in the future sixth Generation(6G)wireless communication. 展开更多
关键词 Channel estimation High-speed rail Inter carrier interference
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2025年6月5日绥化市多单体风暴天气过程分析 认领 引用
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作者 吕爽 薄爱 +2 位作者 孙亮 刘立岩 关明言 《黑龙江气象》 2026年第1期13-17,共5页
本文利用常规气象观测资料、多普勒天气雷达、FY-4A静止气象卫星以及再分析数据,对2025年6月5日发生在黑龙江省绥化市的一次多单体风暴天气过程进行了综合分析。结果表明:此次过程发生在东北冷涡背景下,多单体风暴位于冷涡东南象限,高... 本文利用常规气象观测资料、多普勒天气雷达、FY-4A静止气象卫星以及再分析数据,对2025年6月5日发生在黑龙江省绥化市的一次多单体风暴天气过程进行了综合分析。结果表明:此次过程发生在东北冷涡背景下,多单体风暴位于冷涡东南象限,高空槽前,850hPa切变线触发对流。大气层结呈现上干下湿的不稳定特征,配合涡度场、涡度平流场与垂直速度场的协同配置,为多单体风暴群的组织化发展和维持创造了有利条件。雷达观测清晰地捕捉到了多单体风暴、下击暴流以及龙卷涡旋特征(TVS),卫星云图则显示了强对流云带的螺旋状发展和东移演变。过程造成了区域性降水、10级雷暴大风、直径5~8mm的冰雹,并在望奎县记录到一次EF1级龙卷。气象部门发布了3次预警,预警时效性较好,但未能发布龙卷专项预报,凸显了在东北冷涡背景下精细化龙卷潜势预报的挑战。本研究为提升东北地区强对流天气的监测预警能力提供了有价值的个例参考。 展开更多
关键词 多单体风暴 东北冷涡 雷达回波 龙卷 涡度场 涡度平流场 垂直速度场
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基于深度学习方法的钢轨多裂缝导波检测 认领 引用 被引量：1
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作者 刘平心 孛爱 +2 位作者 陈家安 赵春宇 黄震宇 《铁道学报》 EI CAS CSCD 北大核心 2025年第2期145-151,共7页
沿钢轨长距离传播的导波遇到钢轨裂缝和内部缺陷可产生反射波,适用于在线检测钢轨裂缝。钢轨可能存在多个裂缝,且端面也会产生反射,从而造成导波的多重反射现象,严重影响导波检测钢轨裂缝的准确性。提出一种能够精确检测钢轨多个裂缝的... 沿钢轨长距离传播的导波遇到钢轨裂缝和内部缺陷可产生反射波,适用于在线检测钢轨裂缝。钢轨可能存在多个裂缝,且端面也会产生反射,从而造成导波的多重反射现象,严重影响导波检测钢轨裂缝的准确性。提出一种能够精确检测钢轨多个裂缝的位置和损伤程度的深度学习算法,其特点是引入注意力机制,增强反射波内的多重反射时序特征,加快深度学习模型的收敛速度。基于实验验证的钢轨有限元模型,在钢轨不同位置生成不同损伤程度的裂缝,模拟导波检测数据用于训练深度学习模型。在真实钢轨上制造不同深度的人工裂缝,测试导波数据用于验证深度学习模型有效性。验证结果表明,在轨头、轨腰和轨底的多裂缝条件下,增加注意力机制可提高裂缝位置和损伤程度预测精度至99%。 展开更多
关键词 钢轨裂缝 导波检测 深度学习 注意力机制
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Towards 6G: Paradigm of Realistic Terahertz Channel Modeling 认领 引用 被引量：12
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作者 Ke Guan Haofan Yi +2 位作者 Danping He Bo Ai Zhangdui Zhong 《China Communications》 SCIE EI CSCD 2021年第5期1-18,共18页
Terahertz(THz)communications are envisioned as a key technology for the sixth-generation wireless communication system(6G).However,it is not practical to perform large-scale channel measurements with high degrees of f... Terahertz(THz)communications are envisioned as a key technology for the sixth-generation wireless communication system(6G).However,it is not practical to perform large-scale channel measurements with high degrees of freedom at THz frequency band.This makes empirical or stochastic modeling approaches relying on measurements no longer stand.In order to break through the bottleneck of scarce fulldimensional channel sounding measurements,this paper presents a novel paradigm for THz channel modeling towards 6G.With the core of high-performance ray tracing(RT),the presented paradigm requires merely quite limited channel sounding to calibrate the geometry and material electromagnetic(EM)properties of the three-dimensional(3D)environment model in the target scenarios.Then,through extensive RT simulations,the parameters extracted from RT simulations can be fed into either ray-based novel stochastic channel models or cluster-based standard channel model families.Verified by RT simulations,these models can generate realistic channels that are valuable for the design and evaluation of THz systems.Representing two ends of 6G THz use cases from microscopy to macroscopy,case studies are made for close-proximity communications,wireless connections on a desktop,and smart rail mobility,respectively.Last but not least,new concerns on channel modeling resulting from distinguishing features of THz wave are discussed regarding propagation,antenna array,and device aspects,respectively. 展开更多
关键词 channel modeling channel sounding raytracing THz communication 6G
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3D Geometry-Based UAV-MIMO Channel Modeling and Simulation 认领 引用 被引量：15
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作者 Rubing Jia Yiran Li +1 位作者 Xiang Cheng Bo Ai 《China Communications》 SCIE CSCD 2018年第12期64-74,共11页
A more general narrowband regular-shaped geometry-based statistical model(RS-GBSM) combined with the line of sight(LoS) and single bounce(SB) rays for unmanned aerial vehicle(UAV) multiple-input multiple-output(MIMO) ... A more general narrowband regular-shaped geometry-based statistical model(RS-GBSM) combined with the line of sight(LoS) and single bounce(SB) rays for unmanned aerial vehicle(UAV) multiple-input multiple-output(MIMO) channel is proposed in this paper. The channel characteristics, including space-time correlation function(STCF), Doppler power spectral density(DPSD), level crossing rate(LCR) and average fade duration(AFD), are derived based on the single sphere reference model for a non-isotropic environment. The corresponding sum-of-sinusoids(SoS) simulation models including both the deterministic model and statistical model with finite scatterers are also proposed for practicable implementation. The simulation results illustrate that the simulation models well reproduce the channel characteristics of the single sphere reference model with sufficient simulation scatterers. And the statistical model has a better approximation of the reference model in comparison with the deterministic one when the simulation trials of the stochastic model are sufficient. The effects of the parameters such as flight height, moving direction and Rice factor on the characteristics are also studied. 展开更多
关键词 UAV-MIMO geometry-based model channel characteristics simulation model
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Wireless Powered IoE for 6G: Massive Access Meets Scalable Cell-Free Massive MIMO 认领 引用 被引量：14
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作者 Shuaifei Chen Jiayi Zhang +1 位作者 Yu Jin Bo Ai 《China Communications》 SCIE CSCD 2020年第12期92-109,共18页
A key challenge to the scalable deployment of the energy self-sustainability(ESS)Internet of Everything(IoE)for sixth-generation(6G)networks is juggling massive connectivity and high spectral efficiency(SE).Cell-free ... A key challenge to the scalable deployment of the energy self-sustainability(ESS)Internet of Everything(IoE)for sixth-generation(6G)networks is juggling massive connectivity and high spectral efficiency(SE).Cell-free massive multiple-input multiple-output(CF mMIMO)is considered as a promising solution,where many wireless access points perform coherent signal processing to jointly serve the users.However,massive connectivity and high SE are difficult to obtain at the same time because of the limited pilot resource.To solve this problem,we propose a new framework for ESS IoE networks where the user activity detection(UAD)and channel estimation are decoupled.A UAD detector based on deep convolutional neural networks,an initial access scheme,and a scalable power control policy are proposed to enable the practical scalable CF mMIMO implementation.We derive novel and exact closed-form expressions of harvested energy and SE with maximum ratio(MR)processing.Using local partial minimum mean-square error and MR combining,simulation results prove that the proposed framework can serve more users,improve the SE performance,and achieve better user fairness for the considered ESS IoE networks. 展开更多
关键词 6G network cell-free massive MIMO energy self-sustainability Internet of Everything
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Generative Adversarial Networks Based Digital Twin Channel Modeling for Intelligent Communication Networks 认领 引用 被引量：11
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作者 Yuxin Zhang Ruisi He +5 位作者 Bo Ai Mi Yang Ruifeng Chen Chenlong Wang Zhengyu Zhang Zhangdui Zhong 《China Communications》 SCIE CSCD 2023年第8期32-43,共12页
Integration of digital twin(DT)and wireless channel provides new solution of channel modeling and simulation,and can assist to design,optimize and evaluate intelligent wireless communication system and networks.With D... Integration of digital twin(DT)and wireless channel provides new solution of channel modeling and simulation,and can assist to design,optimize and evaluate intelligent wireless communication system and networks.With DT channel modeling,the generated channel data can be closer to realistic channel measurements without requiring a prior channel model,and amount of channel data can be significantly increased.Artificial intelligence(AI)based modeling approach shows outstanding performance to solve such problems.In this work,a channel modeling method based on generative adversarial networks is proposed for DT channel,which can generate identical statistical distribution with measured channel.Model validation is conducted by comparing DT channel characteristics with measurements,and results show that DT channel leads to fairly good agreement with measured channel.Finally,a link-layer simulation is implemented based on DT channel.It is found that the proposed DT channel model can be well used to conduct link-layer simulation and its performance is comparable to using measurement data.The observations and results can facilitate the development of DT channel modeling and provide new thoughts for DT channel applications,as well as improving the performance and reliability of intelligent communication networking. 展开更多
关键词 digital twin channel modeling generative adversarial networks intelligent communication networking
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Multi-Scenario Millimeter Wave Wireless Channel Measurements and Sparsity Analysis 认领 引用 被引量：8
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作者 Hang Mi Bo Ai +5 位作者 Ruisi He Xin Zhou Zhangfeng Ma Mi Yang Zhangdui Zhong Ning Wang 《China Communications》 SCIE CSCD 2022年第11期16-31,共16页
Wireless channel characteristics have significant impacts on channel modeling,estimation,and communication performance.While the channel sparsity is an important characteristic of wireless channels.Utilizing the spars... Wireless channel characteristics have significant impacts on channel modeling,estimation,and communication performance.While the channel sparsity is an important characteristic of wireless channels.Utilizing the sparse nature of wireless channels can reduce the complexity of channel modeling and estimation,and improve system design and performance analysis.Compared with the traditional sub6 GHz channel,millimeter wave(mmWave)channel has been considered to be more sparse in existing researches.However,most research only assume that the mmWave channel is sparse,without providing quantitative analysis and evaluation.Therefore,this paper evaluates the sparsity of mmWave channels based on mmWave channel measurements.A vector network analyzer(VNA)-based mmWave channel sounder is developed to measure the channel at 28 GHz,and multi-scenario channel measurements are conducted.The Gini index,Ricianfactor and rootmean-square(RMS)delay spread are used to measure channel sparsity.Then,the key factors affecting mmWave channel sparsity are explored.It is found that antenna steering direction and scattering environment will affect the sparsity of mmWave channel.In addition,the impact of channel sparsity on channel eigenvalue and capacity is evaluated and analyzed. 展开更多
关键词 channel sparsity channel measurement mmWave channel measures of sparsity
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