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

作者： Huang, Yiping Sun, Yiling Feng, Botao Deng, Li College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781665432030

A circularly-polarized (CP) antenna with simple structure is proposed for 5G millimeter-wave (mmw) communications. The antenna is made up of two parts: an elliptical SIW backed-cavity element on the first substrate and a slotted waveguide on the second one. By simply rotating the elliptical cavity fed by a slot of the bottom waveguide, CP radiation can be yielded. Simulation results show that a frequency bandwidth of 20-30.55 GHz and an axial ratio (AR) bandwidth ( © 2021 IEEE

关键词： Bandwidth

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A dual-band dual-polarized antenna for 5G micro basestation applications 4

A dual-band dual-polarized antenna for 5G micro basestation ...

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

作者： Chen, Zhenqiang Feng, Botao Zeng, Qingsheng Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 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 cross dipole antenna for the fifth generation (5G) sub-6 GHz dual-band applications. The proposed antenna mainly consists of eight copper radiating patches, eight parasitic patches, and a reflector. The proposed antenna can achieve a ±45° polarization characteristic. The overlapped bandwidth is 2.77-5.31GHz, and the corresponding gain varies from 7.6 to 8.4 dBi. The gain increases with increasing operating frequency. Besides, the cross polarization level is less than -28 dB while the port isolation is larger than 26 dB. © 2021 IEEE

关键词： Dipole antennas

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Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction

arXiv

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arXiv 2023年

作者： Zhu, Meiyi Zecchin, Matteo Park, Sangwoo Guo, Caili Feng, Chunyan Simeone, Osvaldo The Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China lab Department of Engineering King's College London LondonWC2R 2LS United Kingdom

In this paper, we consider a wireless federated inference scenario in which devices and a server share a pre-trained machine learning model. The devices communicate statistical information about their local data to the server over a common wireless channel, aiming to enhance the quality of the inference decision at the server. Recent work has introduced federated conformal prediction (CP), which leverages devices-to-server communication to improve the reliability of the server's decision. With federated CP, devices communicate to the server information about the loss accrued by the shared pre-trained model on the local data, and the server leverages this information to calibrate a decision interval, or set, so that it is guaranteed to contain the correct answer with a pre-defined target reliability level. Previous work assumed noise-free communication, whereby devices can communicate a single real number to the server. In this paper, we study for the first time federated CP in a wireless setting. We introduce a novel protocol, termed wireless federated conformal prediction (WFCP), which builds on type-based multiple access (TBMA) and on a novel quantile correction strategy. WFCP is proved to provide formal reliability guarantees in terms of coverage of the predicted set produced by the server. Using numerical results, we demonstrate the significant advantages of WFCP against digital implementations of existing federated CP schemes, especially in regimes with limited communication resources and/or large number of devices. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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A Ji-shaped Chinese-character millimeter-wave antenna for 5G communications 4

A Ji-shaped Chinese-character millimeter-wave antenna for 5G...

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

作者： Yang, Baifa Huang, Haixuan Feng, Botao Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Big Data and Internet Shenzhen Technology University Shenzhen518118 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781665432030

A Ji-shaped Chinese-character patch antenna is proposed for future communications. The proposed antenna is comprised of two dielectric layers. Ji-shaped patch is etched on the upper surface of the top layer, whereas a feeding network is designed in the other layer. Furthermore, the conformal Jishaped antenna is designed to be placed on the surface of the cylindrical objects. Simulated results demonstrate that a gain of 7.9±0.3 dBi over the whole operating frequency band (24.75-27.5 GHz) can be obtained. © 2021 IEEE

关键词： Substrate integrated waveguides

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A compact log-period dipole antenna with high gain for 5G applications 4

A compact log-period dipole antenna with high gain for 5G ap...

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

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

ISBN: (纸本)9781665432030

A log-periodic dipole antenna (LPDA) with high gain characteristics is proposed for the fifth generation (5G) mobile communications in this paper. The proposed LPDA consists of 15 conventional dipole elements and 3 leaf-shaped dipole elements connected by feed-line. The LPDA is excited by a coaxial line. The leaf-shaped dipole elements at the end of the antenna can not only achieve good impedance matching and improved gain, but also reduce the antenna size. Simulation results reveal that the antenna can achieve the characteristics of a frequency bandwidth of 1.7 -5.0 GHz and a gain of more than 8 dBi. © 2021 IEEE

关键词： Dipole antennas

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Design of Circular Polarization Antenna Array Based on Sequential Phase Feed network 3

Design of Circular Polarization Antenna Array Based on Seque...

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

作者： Yang, Hui Hong, Weijun Cai, Jiaqi Jin, Yaping Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781728190457

A novel circular polarized microstrip 4-unit array antenna based on sequential phase (SP) feed network is proposed in this paper. The proposed antenna is designed to work at 33 GHz. Four square tangential circular polarization patches are connected to the SP feeding network to form a 2×2 microstrip array to achieve better circular polarization performance. A metasurface superstrate is designed above the antenna to improve the antenna gain. Simulation results show that the return loss bandwidth of the proposed antenna for| S11| © 2020 IEEE.

关键词： Circular polarization

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OFDM-Based Digital Semantic Communication with Importance Awareness

arXiv

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arXiv 2024年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Ni, Wanli 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 The Dept. of Information Systems Technology and Design Singapore University of Technology and Design 487372 Singapore

Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mainly focus on analog SemCom with simple channel models, which may limit its practical application. To reduce this gap, we propose an orthogonal frequency division multiplexing (OFDM)based SemCom system that is compatible with existing digital communication infrastructures. In the considered system, the extracted semantics is quantized by scalar quantizers, transformed into OFDM signal, and then transmitted over the frequency-selective channel. Moreover, we propose a semantic importance measurement method to build the relationship between target task and semantic features. Based on semantic importance, we formulate a sub-carrier and bit allocation problem to maximize communication performance. However, the optimization objective function cannot be accurately characterized using a mathematical expression due to the neural network-based semantic codec. Given the complex nature of the problem, we first propose a low-complexity sub-carrier allocation method that assigns sub-carriers with better channel conditions to more critical semantics. Then, we propose a deep reinforcement learning-based bit allocation algorithm with dynamic action space. Simulation results demonstrate that the proposed system achieves 9.7% and 28.7% performance gains compared to analog SemCom and conventional bit-based communication systems, respectively. Copyright © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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TAX-B2BREC: Multi-Stage Cascade Downstream Company Recommender system Based on Taxation Data 7

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

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7th IEEE International Conference on network Intelligence and Digital Content, IC-NIDC 2021

作者： Wang, Shengmin Chu, Yi Qiao, Zhenhao Ma, Lan Zhang, Hao Wang, Zehao Qiao, Yuanyuan Beijing University of Posts and Telecommunications Beijing Lab. of Adv. Info. Networks Beijing Key Lab. of Network System Architecture and Convergence Beijing100876 China The Technology Research Institute Aisino Corporation Beijing100195 China

ISBN: (纸本)9781665405829

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. © 2021 IEEE.

关键词： Recommender systems

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Joint Source-Channel Coding for Efficient Image Transmission: An Information Bottleneck Based Scheme

Joint Source-Channel Coding for Efficient Image Transmission...

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IEEE Globecom Workshops

作者： Lunan Sun Caili Guo Yang Yang 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

ISBN: (纸本)9781665459761

Joint source-channel coding (JSCC) for image transmission has attracted increasing attention due to its robustness and high efficiency. However, the existing research mainly focuses on minimizing the distortion between the transmitted and received information while neglecting the required data rate. Therefore, the transmitted data rate may be far more than the minimal required threshold according to the rate-distortion (RD) theory even though the transmitted information can be well recovered. In this paper, we propose an Information Bottleneck (IB) based JSCC (IB-JSCC), which aims at reducing the required data rate as much as possible while increasing the reconstruction quality. In particular, we establish a new IB objective for unsupervised image transmission JSCC system, which simultaneously minimizes the distortion and the required data rate. We derive a mathematically tractable lower bound on the proposed objective and use the bound as the loss function of IB-JSCC. Experimental results show that IB-JSCC can significantly reduce the required amount of the transmitted data and improve the reconstruction quality and downstream artificial-intelligent tasks accuracy.

关键词： Image coding Image communication Conferences Rate-distortion Rate distortion theory Distortion Robustness

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Performance Optimization for Multicast Mm Wave MIMO networks with Mobile Users

Performance Optimization for Multicast Mm Wave MIMO Networks...

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IEEE International Conference on Communications Workshops, ICC

作者： Songling Zhang Mingzhe Chen Wenjing Zhang Zhaohui Yang Danpu Liu Zhilong Zhang Kai-Kit Wong Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral Gables FL USA Zhejiang Lab Hangzhou China Zhejiang University Hangzhou China Department of Electronic and Electrical Engineering University College London London UK

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

In this paper, the problem of maximizing the sum rate of mobile users in a multi-base station (BS) cooperative millimeter-wave (mmWave) multicast communication system is studied. In the considered model, due to the real-time mobility of users, the users being served by a given BS and beamforming of BSs and users are dynamic. Multiple BSs must cooperate to serve dynamic requests of multiple mobile users. This problem is posed as an optimization framework whose goal is to maximize the sum rate of all mobile users by jointly optimizing the number of users served by all BSs and beamforming matrices of both BSs and users. To solve this non-convex optimization problem, we first introduce a value decomposition based reinforcement learning (VD- RL) algorithm to determine the users to be served by each BS. Then, we use the block diagonalization method to obtain the fully digital transmit beamforming matrices of all BSs as well as the receive beamforming matrices of the users. Finally, a fast optimization algorithm is used to optimize the hybrid beamforming matrices of both BSs and users. Simulation results show that, the proposed algorithm can achieve up to 51 % gain in terms of the sum rate of all mobile users compared to baseline multi-agent algorithms.

关键词： Multicast algorithms Array signal processing Heuristic algorithms Simulation Conferences Multicast communication Real-time systems

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