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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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A Data Center Load Balancing Algorithm Based on Artificial Bee Colony Algorithm 6

A Data Center Load Balancing Algorithm Based on Artificial B...

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6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Yao, Guohao Wu, Muqing Yang, Xu Beijing University of Posts and Telecommunications Institute of Information and Communication Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186351

Aiming at the link congestion and unbalanced load for data center network when scheduling the elephant flow by traditional methods, a load balancing algorithm based on artificial bee colony algorithm IALB (improved artificial bee colony load balancing) is proposed. In the paper we introduce the concept of stability is devoted to selecting the best transmission path for the elephant flow under the multiple constraints of path length, link load, and link stability. In order to find the best path, the algorithm redefines the fitness function according to the number of large flows on the link, the real-time load of the link, and the link stability. Experimental results show that, compared with the traditional ECMP algorithm and Hedera algorithm, the IALB algorithm can perform better in terms of link utilization and network throughput. © 2020 IEEE.

关键词： Scheduling

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Visible Light Positioning Based on a Single Luminaire: A Novel Visual Odometry Assisted Algorithm

Visible Light Positioning Based on a Single Luminaire: A Nov...

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IEEE International Conference on Communications (ICC)

作者： Zhiyu Zhu Yang Yang Mingzhe Chen Caili Guo Yipeng Bai Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering 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 Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

Visible light positioning (VLP) is a promising positioning technique, which, however, typically requires multiple luminaires to achieve accurate positioning. This paper proposes a novel visual odometry (VO) assisted visible light positioning algorithm (VO-VLP) in achieving positioning with only a single luminaire. In the considered model, a user equipped with a camera jointly uses geometric features in the captured images and coordinates information obtained via visible light communication (VLC) for positioning. The proposed VLP algorithm does not rely on any extra inertial measurement unit and relaxes the tilted angle limitation at the user. In particular, VO-VLP first uses the circle feature of a luminaire to obtain dual normal vectors of the luminaire. Then, the basic principle of VO is used to eliminate the wrong normal vector by exploiting the geometric features in two consecutive images captured when the user moves. Finally, the pose and location of the user are obtained by using an artificially marked point on the luminaire's contour. VO-VLP can achieve accurate positioning with only a single luminaire and a camera. Simulation results show that the proposed indoor positioning algorithm can achieve a 97th-percentile positioning accuracy of around 10 cm.

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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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FC-BET: A Fast Consecutive Beam Tracking Scheme for MmWave Vehicular Communications

FC-BET: A Fast Consecutive Beam Tracking Scheme for MmWave V...

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IEEE Conference on Wireless Communications and networking

作者： Chen Wang Yawen Chen Zhaoming Lu Xiangming Wen Zifan Wang Luhan Wang Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781728195056;9781728195063

Millimeter wave (mmWave) communication is a promising technique to meet the demands of data-rate hungry applications in vehicular networks. Multiple-input multiple-output (MIMO) and beamforming technique are usually adopted in mmWave communications to overcome the high path and penetration losses. However, the high mobility of vehicles would result in significant beam training overhead in the mmWave vehicular communications. Hence, in this paper, a fast consecutive beam tracking (FC-BET) scheme based on long short-term memory (LSTM) is proposed. By predicting beam angles through the LSTM network consecutively, the overhead caused by frequent beam training in mmWave vehicular communications can be reduced. To evaluate the proposed scheme, a time series channel dataset is built by using sequential vehicle information generated from road traffic simulation software named “Simulation of Urban MObility (SUMO)”. Simulation results show that the FCBET scheme can significantly reduce overhead with an acceptable loss in spectral efficiency compared with conventional beam training schemes.

关键词： Training Spectral efficiency Simulation Roads Time series analysis Traffic control Loss measurement

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Camera assisted received signal strength algorithm for indoor visible light positioning

Camera assisted received signal strength algorithm for indoo...

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2021 IEEE/CIC International Conference on Communications in China, ICCC 2021

作者： Li, Chengyang Yang, Yang Bai, Lin Yu, Bei Guo, Caili Xia, Hailun School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China China Shipbuilding Industry Systems Engineering Research Institute Beijing100094 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing100876 China

ISBN: (纸本)9781665443852

In this paper, a camera assisted received signal strength (CA-RSS) algorithm is proposed for visible light positioning (VLP) systems. The basic idea of CA-RSS is to simultaneously utilize visual and strength information of visible lights to achieve accurate positioning at low cost. With rectangular LED layout, the irradiance angles of the visible lights can be estimated regardless of the orientations of the LEDs. Based on the estimated irradiance angles, the distances between the LEDs and the receiver are obtained. Then, the two-dimensional (2D) position of the receiver can be calculated at low cost using a linear least square method. Based on the solid geometry theory, we further propose an independent solution method for three-dimensional (3D) positioning, which can avoid error propagation issue of dependent solution method. Moreover, considering the imperfect channel model in practice, we propose a calibration method of Lambertian model for practical uses. Simulation results show that the proposed approach can achieve 80th percentile accuracies of less than 10 cm for 3D positioning regardless of the orientations of the LEDs and the receiver. In addition, experimental results show that the proposed algorithm achieves an average 3D positioning error of 4.48 cm in a 70 cm × 70 cm × 140 cm space. © 2021 IEEE.

关键词： Light emitting diodes

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Research of Epidemic Dynamics Model Considering Individual Movements and Urban Areas

Research of Epidemic Dynamics Model Considering Individual M...

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

作者： Boxu Pan Jie Yang Yu Wang Zehao Wang Yuangeng Zhu Zhiqi Zhang Beijing Laboratory of Advanced Information Networks & Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Aisino Corporation Beijing China

ISBN: (纸本)9781665405836

With the rapid spread of COVID-19, hundreds of millions of people worldwide have been infected. In order to cope with the epidemic, experts from various countries have carried out a lot of research works. Most of these works chose to use the traditional SEIR model, but the traditional model doesn't consider the individual's movement in the city. Based on the transmission characteristics of COVID-19, this paper optimized the traditional SEIR model by combining the in-depth mining and processed multiple data, such as the real epidemic data published by some official organizations, as well as data with certain credibility obtained from reference papers, journals or newspapers. Compared with the traditional SEIR model, the proposed model takes into account the impact of individuals' movement and the division of urban functional areas. The outcomes can play a certain role in the prediction and analysis of the spread of the epidemic in cities with regular individuals' movements and functions of urban areas.

关键词： COVID-19 Epidemics Analytical models Urban areas Organizations Predictive models Mathematical models

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Demo: a Hybrid Semantic RAN Protocol Stack Design for 6G system and Its Implementation

arXiv

引用

arXiv 2025年

作者： Wang, Luhan Niu, Haiwen Lu, Zhaoming Wen, Xiangming Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

Recently, Semantic Communication (SC) has been recognized as a crucial new paradigm in 6G, significantly improving information transmission efficiency. However, the diverse range of service types in 6G networks, such as high-data-volume services like AR/VR/MR and low-data-volume applications requiring high accuracy, such as industrial control and data collection, presents significant challenges to fully replacing the fundamental technologies with SC. Therefore, we design a Hybrid Semantic Communication Ratio Access network (HSC-RAN) protocol stack demo for 6G systems to achieve compatibility and smooth transition between SC and non-SC. Specifically, we take the Physical Downlink Shared Channel (PDSCH) as an example, to efficiently integrate SC with Orthogonal Frequency Division Multiplexing (OFDM). Furthermore, we introduce a novel Downlink Control Information (DCI) format that jointly supports SC and non-SC, enabling real-time video transmission via SC and text transmission through non-SC. Experimental results demonstrate that our approach allows simultaneous transmission of semantic and non-semantic information while maintaining high-quality reconstruction at the receiver. © 2025, CC BY.

关键词： Orthogonal frequency division multiplexing

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Mobility-aware seamless handover with MPTCP in software-defined hetnets

arXiv

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arXiv 2021年

作者： Tong, Haonan Wang, Tao Zhu, Yujiao Liu, Xuanlin Wang, Sihua Yin, Changchuan The Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China The Beijing Advanced Information Network Laboratory Beijing University of Posts and Telecommunications Beijing100876 China

In this paper, the problem of vertical handover in software-defined network (SDN) based heterogeneous networks (HetNets) is studied. In the studied model, HetNets are required to offer diverse services for mobile users. Using an SDN controller, HetNets have the capability of managing users’ access and mobility issues but still have the problems of ping-pong effect and service interruption during vertical handover. To solve these problems, a mobility-aware seamless handover method based on multipath transmission control protocol (MPTCP) is proposed. The proposed handover method is executed in the controller of the software-defined HetNets (SDHetNets) and consists of three steps: location prediction, network selection, and handover execution. In particular, the method first predicts the user’s location in the next moment with an echo state network (ESN). Given the predicted location, the SDHetNet controller can determine the candidate network set for the handover to preallocate network wireless resources. Second, the target network is selected through fuzzy analytic hierarchical process (FAHP) algorithm, jointly considering user preferences, service requirements, network attributes, and user mobility patterns. Then, seamless handover is realized through the proposed MPTCP-based handover mechanism. Simulations using real-world user trajectory data from Korea Advanced Institute of Science & Technology show that the proposed method can reduce the handover times by 10.85% to 29.12% compared with traditional methods. The proposed method also maintains at least one MPTCP subflow connected during the handover process and achieves a seamless handover. Copyright © 2021, The Authors. All rights reserved.

关键词： Heterogeneous networks

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Bandwidth and Power Allocation for Task-Oriented Semantic Communication

arXiv

引用

arXiv 2022年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Jiujiu Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China

Deep learning enabled semantic communication has been studied to improve communication efficiency while guaranteeing intelligent task performance. Different from conventional communications systems, the resource allocation in semantic communications no longer just pursues the bit transmission rate, but focuses on how to better compress and transmit semantic to complete subsequent intelligent tasks. This paper aims to appropriately allocate the bandwidth and power for artificial intelligence (AI) task-oriented semantic communication and proposes a joint compressiom ratio and resource allocation (CRRA) algorithm. We first analyze the relationship between the AI task’s performance and the semantic information. Then, to optimize the AI task’s perfomance under resource constraints, a bandwidth and power allocation problem is formulated. The problem is first separated into two subproblems due to the non-convexity. The first subproblem is a compression ratio optimization problem with a given resource allocation scheme, which is solved by a enumeration algorithm. The second subproblem is to find the optimal resource allocation scheme, which is transformed into a convex problem by successive convex approximation method, and solved by a convex optimization method. The optimal semantic compression ratio and resource allocation scheme are obtained by iteratively solving these two subproblems. Simulation results show that the proposed algorithm can efficiently improve the AI task’s performance by up to 30% comprared with baselines. Copyright © 2022, The Authors. All rights reserved.

关键词： Bandwidth

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