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4th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2021

作者： Fang, Yi Feng, Botao Sun, Sanshan Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Physics and Electronic Engineering Sichuan Normal University Chengdu610101 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781665432030

In this paper, a 30° gain suppression vertical-polarized (VP) antenna with a 2×3 MIMO system is proposed for the 5G indoor applications. In order to suppress radiation when θ=30° and increase gain on horizontal plane, three 45° single-polarized antenna elements are assembled to provide an omnidirectional radiation pattern. A magneto-electric (ME) dipole antenna element is excited by a single Γ-shaped strip. Owning to the good characteristics of the antenna element, wide bandwidth and high gain have been obtained. The antenna element can provide an impedance bandwidth of 90.4% (2.0-5.3 GHz), with a stable gain of 6.0±2.2 dBi. When θ=30°, the gain is -2.0±4.0 dBi. The entire volume of the antenna is 52×52×70 mm3. With the aforementioned traits, the antenna is well suitable for sub-6 GHz applications. ©2021 IEEE

关键词： MIMO systems

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A Broadband Miniaturized Log-periodic Dipole Antenna 4

A Broadband Miniaturized Log-periodic Dipole Antenna

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4th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2021

作者： Zhuang, Gang Feng, Botao Sun, Sanshan Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Physics and Electronic Engineering Sichuan Normal University Chengdu610101 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781665432030

This paper presents a miniaturized log-periodic dipole antenna using Koch fractals. The proposed antenna in this paper allows the lateral area of the antenna to be reduced by Koch fractalization of the dipole. Simulation is carried out by HFSS 20.0 software, and results show that the antenna works in a frequency band ranging from 0.7 to 3.7 GHz. Across the entire frequency band, good impedance matching, high gain and good front-to-back ratio (FBR) can be achieved. ©2021 IEEE

关键词： Dipole antennas

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V2V Communication Assisted Cooperative Localization for Connected Vehicles

V2V Communication Assisted Cooperative Localization for Conn...

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IEEE Conference on Wireless Communications and networking

作者： Wanyu Meng Xinghe Chu Zhaoming Lu Luhan Wang Xiangming Wen Meiling Li Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Taiyuan University of Science and Technology Taiyuan China

With the development of the 5G mobile communication system, the network infrastructure is becoming more widely deployed. Ubiquitous 5G wireless signals bring new opportunities to the positioning of connected autonomous vehicles. Radio-based positioning can utilize the existing 5G network infrastructure to locate connected vehicles without additional sensor equipment installed in the vehicle. Moreover, location-related information of vehicles can be obtained from V2V communication supported by 3GPP, which provides a new way to increase positioning accuracy. In this paper, we develop a V2V communication assisted cooperative localization algorithm that exploits the location-related information in V2V communication and the multipath radio signals received by vehicles to further improve localization accuracy. A Bayesian model is derived for feature-based simultaneous localization and mapping (SLAM) according to the information exchanged between vehicles and the characteristics of the multipath components, and a cooperative belief propagation algorithm is used to locate vehicles on a factor graph. Simulation results show that this algorithm has better positioning performance than non-V2V-cooperative scenarios.

关键词： Location awareness Wireless communication Wireless sensor networks Simultaneous localization and mapping Connected vehicles 5G mobile communication Simulation

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RLS-DPD Algorithm for Hybrid Precoding architecture in MIMO-OFDM systems 3

RLS-DPD Algorithm for Hybrid Precoding Architecture in MIMO-...

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3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020

作者： Huang, Tingyu Hong, Weijun Cai, Tingxiao Lin, Huanhuan Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China China Electronics Stand-ardization Institute Beijing China Borsche Technology Limited Corporation Beijing China

ISBN: (纸本)9781728190457

In emerging communication systems, such as 5G 6G, millimeter wave and terahertz communication, OFDM and MIMO are indispensable technologies. However, the cross-modulation among different subchannel would greatly degrade the performance of system due to the non-linearity of the large-scale amplifier array. Hybrid precoding technology is a general candidate for this problem due to its capability for linearization, and the predistortion matrix would be the key factor for its performance. In this paper, a memory polynomial model is adopted for modelling nonlinear power amplifier (PA) and Recursive Least Square based digital predistortion (RLS-DPD) algorithm is proposed for parameter training for hybrid predistortion module. The proposed RLS algorithm extracts the parameters of the digital predistortion module through adaptive learning in the training phase. Adaptive learning refers to the process of using the filter parameters obtained at the previous moment to automatically adjust the parameters at the current moment according to the estimated error, which minimizes the cost function. The simulation results show that the RLS-DPD algorithm can reduce the system bit error rate by 27.778%, error vector magnitude (EVM) by 67.961 % at 8dB SNR, and enable the nonlinear OFDM signal to be demodulated correctly at the terminal. © 2020 IEEE.

关键词： MIMO systems

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TAX-B2BREC: Multi-Stage Cascade Downstream Company Recommender system Based on Taxation Data

TAX-B2BREC: Multi-Stage Cascade Downstream Company Recommend...

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IEEE International Conference on network Infrastructure and Digital Content (IC-NIDC)

作者： Shengmin Wang Yi Chu Zhenhao Qiao Lan Ma Hao Zhang Zehao Wang Yuanyuan Qiao Beijing Laboratory of Advanced Information Networks & Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China The Technology Research Institute Aisino Corporation Beijing China

ISBN: (纸本)9781665405836

The public crisis triggered by the COVID-19 pandemic has disastrous effects for B2B markets. With the supply chain and trade disrupted, the benefits of the company have been affected to varying degrees. In order to help companies find potential customers and recover the supply chain, we propose a multi-stage cascade downstream company recommender system based on taxation data. The proposed system can recommend potential buyers for upstream companies, which can help upstream companies find new sales channels. This system includes data processing, matching module, ranking module and system deployment. In the match module, we propose a hybrid recall algorithm to generate the candidate enterprises. In the ranking module, we use DCNV2 model to rank the candidate companies. Moreover, the multistage cascade recommendation algorithm achieves better results compared with the traditional algorithm in B2B recommender system.

关键词： COVID-19 Pandemics Conferences Supply chains Companies Data processing Hybrid power systems

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Vehicle localization via cooperative channel mapping

arXiv

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arXiv 2021年

作者： Chu, Xinghe Lu, Zhaoming Gesbert, David Wang, Luhan Wen, Xiangming Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China Communications Systems Department EURECOM Sophia Antipolis France

This paper addresses vehicle positioning, a topic whose importance has risen dramatically in the context of future autonomous driving systems. While classical methods that use GPS and/or beacon signals from network infrastructure for triangulation tend to be sensitive to multi-paths and signal obstruction, our method exhibits robustness with respect to such phenomena. Our approach builds on the recently proposed Channel-SLAM method which first enabled leveraging of multipath so as to improve (single) vehicle positioning. Here, we propose a cooperative mapping approach which builds upon the Channel-SLAM concept, referred to here as Team Channel-SLAM. Team Channel-SLAM not only exploits the stationary nature of many reflecting objects around the vehicle, but also capitalizes on the multi-vehicle nature of road traffic. The key intuition behind our method is the exploitation for the first time of the correlation between reflectors around multiple neighboring vehicles. An algorithm is derived for reflector selection and estimation, combined with a team particle filter (TPF) so as to achieve high precision simultaneous multiple vehicle positioning. We obtain large improvement over the single-vehicle positioning scenario, with gains being already noticeable for moderate vehicle densities, such as over 40% improvement for a vehicle density as low as 4 vehicles in 132 meters’ length road. Copyright © 2021, The Authors. All rights reserved.

关键词： Reflection

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Hybrid model enabling highly efficient follicular segmentation in thyroid cytopathological whole slide image

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Intelligent Medicine 2021年第2期1卷 70-79页

作者： Chuang Zhu Siyan Tao Huang Chen Minzhen Li Ying Wang Jun Liu Mulan Jin Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and ConvergenceSchool of Artificial IntelligenceBeijing University of Posts and TelecommunicationsBeijing 100876China Department of Pathology China-Japan Friendship HospitalBeijing 100029China Department of Pathology Beijing Chao-Yang HospitalCapital Medical UniversityBeijing 100020China

Background The prevalence of thyroid cancer is growing *** and precise diagnosis is critical in thy-roid cancer *** automatic thyroid cancer diagnostic tool can be valuable to achieve early detection and diagnostic *** the follicular areas in the sample contain useful information to the thyroid cancer diagnosis based on fine needle aspiration(FNA).This study aimed to develop a highly efficient accurate method for follicular cell areas segmentation(FCAS)of thyroid cytopathological whole slide images(WSIs).Methods A total of 96 cell samples from July 2017 to July 2018 were collected in one hospital in beijing,***-three WSIs were selected and manually labeled,including 17 cases of papillary thyroid carci-noma sample and 26 cases of benign *** thousand and nine hundred cropped typical image patches(available on https://***/bupt-ai-cz/Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation)of 1024×1024 pixels from 13 large WSIs were used for patch-level model training and testing and all of the 13 large WSIs were papillary thyroid carcinoma *** testing WSIs with an average size 36,217×29,400(from 10,240×10,240 to 81,920×61,440)were used to test the effectiveness of the hybrid *** on the traditional semantic segmentation model deeplabv3,we constructed a hybrid segmentation architecture by adding a classification branch into the segmentation scheme to improve *** was used to measure the performance of the classification model;pixel accuracy(pAcc),mean accuracy(mAcc),mean intersection over union(mIoU),and frequency weighted intersection over union(fwIoU)were used to measure the performance of the segmentation model,*** Using this method,up to 93%WSI segmentation time was reduced by skipping the colloidal areas and the blank background *** average processing time of 30 WSI was 49.49 *** the patch dataset,this hybrid model might reach pAcc=98.65%,mAcc=85.60%,mI

关键词： Thyroid cancer Hybrid model Follicular cell areas segmentation Whole slide image

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A Fast Multi-Pattern Matching Algorithm for Mining Big network Data

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China Communications 2019年第5期16卷 121-136页

作者： Jun Liu Guangkuo Bian Chao Qin Wenhui Lin Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876China Technology Research Institute Aisino CorporationBeijing 100195China

The rapid development of mobile network brings opportunities for researchers to analyze user behaviors based on largescale network traffic data. It is important for Internet Service Providers(ISP) to optimize resource allocation and provide customized services to users. The first step of analyzing user behaviors is to extract information of user actions from HTTP traffic data by multi-pattern URL matching. However, the efficiency is a huge problem when performing this work on massive network traffic data. To solve this problem, we propose a novel and accurate algorithm named Multi-Pattern Parallel Matching(MPPM) that takes advantage of HashMap in data searching for extracting user behaviors from big network data more effectively. Extensive experiments based on real-world traffic data prove the ability of MPPM algorithm to deal with massive HTTP traffic with better performance on accuracy, concurrency and efficiency. We expect the proposed algorithm and it parallelized implementation would be a solid base to build a high-performance analysis engine of user behavior based on massive HTTP traffic data processing.

关键词： HTTP traffic multi-patterns matching Spark URL matching user behavior

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Explainable Semantic Communication for Text Tasks

arXiv

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arXiv 2023年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Ni, Wanli Zhou, Yanquan Li, Lei Quek, Tony Q.S. The Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China The Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Department of Electronic Engineering Tsinghua University Beijing100084 China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The Dept. of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore

Task-oriented semantic communication has gained increasing attention due to its ability to reduce the amount of transmitted data without sacrificing task performance. Although some prior efforts have been dedicated to developing semantic communications, the semantics in these works remains to be unexplainable. Challenges related to explainable semantic representation and knowledge-based semantic compression have yet to be explored. In this paper, we propose a triplet-based explainable semantic communication (TESC) scheme for representing text semantics efficiently. Specifically, we develop a semantic extraction method to convert text into triplets while using syntactic dependency analysis to enhance semantic completeness. Then, we design a semantic filtering method to further compress the duplicate and task-irrelevant triplets based on prior knowledge. The filtered triplets are encoded and transmitted to the receiver for completing intelligent tasks. Furthermore, we apply the propsed TESC scheme to two emblematic text tasks: sentiment analysis and question answering, in which the semantic codec is meticulously customized for each task. Experimental results demonstrate that 1) TESC scheme outperforms benchmarks in terms of Top-1 accuracy and transmission efficiency, and 2) TESC scheme enjoys about 150% performance gain compared to the traditional communication method. Copyright © 2023, The Authors. All rights reserved.

关键词： Semantics

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A Joint Transmit and Receive Design for Dimmable High Speed MC MU VLC systems

A Joint Transmit and Receive Design for Dimmable High Speed ...

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Yujie Yang Yang Yang Hailun Xia Caili Guo Mahdi Chehimi Walid Saad Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of. Posts and Telecommunications Beijing China Bradley Department of Electrical and Computer Engineering Wireless@VT Group Virginia Tech Blacksburg VA USA

ISBN: (纸本)9781665435413

In multi-cell multi-user multiple-input multiple-output (MC MU-MIMO) visible light communication (VLC) systems, each user is equipped with multiple closely-placed photodiodes (PDs) with similar channel gains, leading to severe inter-cell interference and intra-cell interference. To address this problem, this paper proposes a hybrid dimming (HD) scheme with MIMO VLC transceiver design, which jointly optimizes transmit and receive antenna selection (TRAS), cell clustering and precoding (TRASP-HD) for MC MU-MIMO VLC systems. In this scheme, a sum-rate maximization problem under the dimming level and illumination uniformity is formulated and solved by being divided into two sub-problems. In particular, The first sub-problem is on TRAS and cell formation based on the criterion of sum-rate maximization under the illumination uniformity constraint. With the same goal, the second sub-problem is on optimizing the precoding matrices of each cell. Finally, these two sub-problems are iteratively solved to obtain a convergent solution. Simulation results verify that in a typical indoor scenario, the mean bandwidth efficiency of TRASP-HD scheme is 2.36 bit/s/Hz higher than the conventional MC MU-MIMO system.

关键词： Spectral efficiency Precoding Simulation Lighting Receiving antennas Transceivers MIMO

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