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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Zheng Li Caili Guo Yidi Xuan Beijing Laboratory of Advanced Information Networks 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: (数字)9781728109626

ISBN: (纸本)9781728109633

Device-to-device (D2D) communication has been recognized as a promising technique to improve spectrum efficiency. However, D2D transmission as an underlay causes severe interference, which imposes a technical challenge to spectrum allocation. Existing centralized schemes require global information, which can cause serious signaling overhead. While existing distributed solution requires frequent information exchange between users and cannot achieve global optimization. In this paper, a distributed spectrum allocation framework based on multi-agent deep reinforcement learning is proposed, named Neighbor-Agent Actor Critic (NAAC). NAAC uses neighbor users' historical information for centralized training but is executed distributedly without that information, which not only has no signal interaction during execution, but also utilizes cooperation between users to further optimize system performance. The simulation results show that the proposed framework can effectively reduce the outage probability of cellular links, improve the sum rate of D2D links and have good convergence.

关键词： Device-to-device communication Resource management Interference Learning (artificial intelligence) Machine learning Signal to noise ratio Markov processes

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A robust fractal tag antenna for UHF RFID 4

A robust fractal tag antenna for UHF RFID

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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Dong, Yaru Hong, Weijun Li, Shufang Uddin, Shahab Liu, Hongjie Chen, Deken Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Networks System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Beijing Borsche Technologies Co Ltd. Beijing China

ISBN: (纸本)9781538683392

To improve the robustness of the RFID tag antenna for consumer-level application, this paper presents a UHF RFID antenna based on the characteristics of the tree-liked fractal. The paper exhibits a broad bandwidth with a resonance frequency locating at 900 MHz and the -10dB relative impedance bandwidth is 25% (630MHz-1050MHz). The radiation of the antenna is also pretty good with omnidirectional and a maximum gain of 3.24 dBi on its boresight. More importantly, the proposed antenna can maintain the good matching and radiation performance even large areas of the antenna surface are cut out, which cannot be achieved in other RFID tag antennas such as the commonly used ALN-9640 and ALN-9654 RFID tag antennas. The fractal RFID antenna proposed in this paper outperforms other tag antennas on injury resist. This capability enables the antenna can be used in more widespread application, especially in some harsh environment. © 2018 IEEE.

关键词： Fractals

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Priority-based Content Dissemination in Content Centric Vehicular networks 2

Priority-based Content Dissemination in Content Centric Vehi...

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2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Khan, Irfanullah Zhang, Tiankui Xu, Xiaogeng Shan, Siyang Khan, Adil Ahmad, Shabeer Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing100876 China

ISBN: (纸本)9781538618035

In Content Centric Vehicular Network (CCVN), content forwarding priority is a crucial issue in content dissemination scenario considering the content urgency. To guarantee the prompt and reliable delivery of the contents, a Priority-based Content Dissemination (PCD) scheme is designed for CCVN. In the proposed scheme, content provided to vehicles are broadly classified into safety and non-safety. Safety contents always have higher priority than non-safety contents. The priority of the safety and non-safety contents are assigned based on the content expiration time and the request volume respectively. Contents are propagated according to this priority through wireless communication. The workflow of the proposed PCD scheme is illustrated. The simulation results show that the proposed scheme can reduce the transmission delay of all safety contents and the popular non-safety contents. © 2018 IEEE.

关键词： Safety Reliability Broadcasting systems architecture Data models Vehicular ad hoc networks History

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Inductive Embedding Learning on Attributed Heterogeneous networks via Multi-task Sequence-to-Sequence Learning

Inductive Embedding Learning on Attributed Heterogeneous Net...

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IEEE International Conference on Data Mining (ICDM)

作者： Yunfei Chu Caili Guo Tongze He Yaqing Wang Jenq-Neng Hwang Chunyan Feng Beijing Key Laboratory of Network System Architecture and Convergence Bejing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Department of Electrical Engineering University of Washington Seatle USA

In the paper, we study the problem of inductive embedding learning on attributed heterogeneous networks, and propose a Multi-task sequence-to-sequence learning based Inductive Network Embedding framework (MINE) capturing the attribute similarity, network proximity, and partial label information simultaneously. In particular, MINE trains an encoder function that aggregates information from a node's long-range scope of contexts, with the node attribute sequences generated by the proposed type-guided heterogeneous random walk as inputs. We present an one-to-many multi-task sequence-to-sequence model where the encoder is shared between two related tasks: an unsupervised node identity sequence generation task to learn context-aware embeddings, and a semi-supervised label prediction task to learn semantics-rich embeddings. Extensive experiments on real-world datasets demonstrate that the proposed method significantly outperforms several state-of-the-art methods.

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A generalized dimming control scheme for visible light communications

arXiv

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arXiv 2020年

作者： Yang, Yang Wang, Congcong Feng, Chunyan Guo, Caili Cheng, Julian Zeng, Zhimin 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 Faculty of Applied Science School of Engineering University of British Columbia KelownaBCV1V 1V7 Canada

A novel dimming control scheme, termed as generalized dimming control (GDC), is proposed for visible light communication (VLC) systems. The proposed GDC scheme achieves dimming control by simultaneously adjusting the intensity of transmitted symbols and the number of active elements in a space-time matrix. Both the indices of the active elements in each space-time matrix and the modulated constellation symbols are used to carry information. Since illumination is deemed as the prior task of VLC, an incremental algorithm for index mapping is proposed for achieving target optical power and uniform illumination. Next, GDC having the optimal activation pattern is investigated to further improve the bit-error rate (BER) performance. In particular, the BER performance of GDC is analyzed using the union bound technique. Based on the analytical BER bound, the optimal activation pattern of GDC scheme with the minimum BER criterion (GDC-MBER) is obtained by exhaustively searching all conditional pairwise error probabilities. However, since GDC-MBER requires high search complexity, two low-complexity GDC schemes having the maximum free distance criterion (GDC-MFD) are proposed. The first GDC-MFD scheme, coined as GDC-MFD1, reduces the computational complexity by deriving a lower bound of the free distance based on Rayleigh-Ritz theorem. Based on the time-invariance characteristics of the VLC channel, GDC-MFD2 is proposed to further reduce the required computation efforts. Simulation and numerical results show that GDC-MBER, GDC-MFD1 and GDC-MFD2 have similar BER performance, and they can achieve 2 dB performance gains over conventional hybrid dimming control scheme and 7 dB performance gains over digital dimming control schemes. Copyright © 2020, The Authors. All rights reserved.

关键词： Visible light communication

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A high coverage camera assisted received signal strength ratio algorithm for indoor visible light positioning

arXiv

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arXiv 2020年

作者： Bai, Lin Yang, Yang Feng, Chunyan Guo, Caili Cheng, Julian 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 Faculty of Applied Science School of Engineering University of British Columbia KelownaBCV1V 1V7 Canada

In this paper, a high coverage algorithm termed enhanced camera assisted received signal strength ratio (eCA-RSSR) positioning algorithm is proposed for visible light positioning (VLP) systems. The basic idea of eCA-RSSR is to utilize visual information captured by the camera to estimate the incidence angles of visible lights first. Based on the incidence angles, eCA-RSSR utilizes the received signal strength ratio (RSSR) calculated by the photodiode (PD) to estimate the ratios of the distances between the LEDs and the receiver. Based on an Euclidean plane geometry theorem, eCA-RSSR transforms the ratios of the distances into the absolute values. In this way, eCA-RSSR only requires 3 LEDs for both orientation-free 2D and 3D positioning, implying that eCA-RSSR can achieve high coverage. Based on the absolute values of the distances, the linear least square method is employed to estimate the position of the receiver. Therefore, for the receiver having a small distance between the PD and the camera, the accuracy of eCA-RSSR does not depend on the starting values of the non-linear least square method and the complexity of eCA-RSSR is low. Furthermore, since the distance between the PD and camera can significantly affect the performance of eCA-RSSR, we further propose a compensation algorithm for eCA-RSSR based on the single-view geometry. Simulation results show that eCA-RSSR can achieve centimeter-level accuracy over 80% indoor area for both the receivers having a small and a large distance between the PD and the camera. Copyright © 2020, The Authors. All rights reserved.

关键词： Cameras

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Inferring land use type in urban area with mobile big data 4

Inferring land use type in urban area with mobile big data

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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Xing, Zhizhuang Lin, Wenhui Qiao, Yuanyuan Zhang, Hao Sun, Kewu Yang, Jie Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Technology Research Institute Aisino Corporation Beijing China

ISBN: (纸本)9781538683392

Research on the detection of land use has been a challenge for urban sensing and is of great significance to smart city construction. With the popularity of smart phones and the unprecedented growth of mobile phone data, there emerge numerous studies on land use detection with CDR (Call Detail Records), SMS (Short Messaging Service) and mobile traffic data. This is also a combination of urban sensing based on mobile big data and smart city construction. In this paper, we propose a methodology based on existing studies on land use detection with CDR, text data, and mobile traffic data. We propose a new traffic signature that combines the advantages of the above studies and apply it to a real-world dataset collected in northeast of China. We choose the POI (point of interest) data as ground truth data that the obtained land use types are compared with. We find that our method can accurately detect the POI collections of specific types, which proves the effectiveness of our method. After extracting base components of land use types, an NMF (non-negative matrix factorization) based method is applied to explore the mix of land use types in urban areas. Then, we provide reasonable explanations for different areas with mixed land use types. The result of proposed method is evaluated from both components perspective and urban area perspective. © 2018 IEEE.

关键词： Big data

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Location-Aware Hypergraph Coloring Based Spectrum Allocation for D2D Communication 15

Location-Aware Hypergraph Coloring Based Spectrum Allocation...

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15th International Symposium on Wireless Communication systems, ISWCS 2018

作者： Li, Zheng Guo, Caili Chen, Shuo Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing100876 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781538650059

Device-to-device (D2D) communication underlaying cellular networks has been recognized as a promising technique to improve spectrum efficiency. However, densely deployed D2D pairs could cause severe interference to cellular user equipments (CUEs) without proper spectrum allocation. Since the CUEs are the primary users of the spectrum band, the quality of service(QoS) of CUEs should be guaranteed. Therefore, the location-aware hypergraph coloring (LAHC) based spectrum allocation algorithm is proposed in uplink D2D underlaying cellular networks. For a particular CUE, the entire cell area is divided into location-aware regions. A set of D2D pairs identified by these regions are limited when sharing spectrum with the CUE to protect the CUE from connection interruption. In addition, we study spectrum allocation using hypergraph coloring method to eliminate cumulative interference from multiple D2D pairs. Simulation indicates that the proposed spectrum allocation algorithm can both guarantee that D2D links will not cause service disruption to CUEs and significantly improve the system capacity. © 2018 IEEE.

关键词： Spectrum efficiency

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Polarization-based Cross-tier Interference Alignment in Cognitive Heterogeneous Cellular Network 15

Polarization-based Cross-tier Interference Alignment in Cogn...

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15th International Symposium on Wireless Communication systems, ISWCS 2018

作者： Gao, Xiaofang Guo, Caili Chen, Shuo Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing100876 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781538650059

To eliminate the cross-tier interference and optimize the bit-error-rate performance of small cell for downlink underlay cognitive heterogeneous cellular network, a novel polarization-based cross-tier interference alignment scheme is proposed in this paper by exploiting the polarization resource of two-tier network. The transmitting and receiving polarization states of small cell are designed by interference alignment-like behaviors of the minimum total mean squared error optimization model under interference power constraint. An analytical and noncooperative closed form solution is provided for the model. Simulation results show the proposed scheme outperforms the existing schemes in bit-error-rate performance of small cell while keeping the maximum sum rate of overall system. And the tradeoff between bit-error-rate performances of macro cell and small cell is also evaluated. © 2018 IEEE.

关键词： Polarization

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Power Efficient Deployment of VLC-enabled UAVs

Power Efficient Deployment of VLC-enabled UAVs

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Zhiyu Zhu Yang Yang Caili Guo Mingzhe Chen Shuguang Cui H. Vincent Poor 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 Department of Electrical Engineering Princeton University Princeton NJ USA The Future Network of Intelligence Institute The Chinese University of Hong Kong Shenzhen China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China

ISBN: (数字)9781728144900

ISBN: (纸本)9781728144917

In this paper, a power efficient deployment for visible light communication (VLC)-enabled unmanned aerial vehicles (UAVs) is studied. In the studied model, each UAV can provide communication service for ground users and illumination builds the VLC links between UAVs and users. Hence, each UAV's signal transmission and illumination will affect other UAVs' signal transmission and illumination. Therefore, to deploy VLC-enabled UAVs so as to efficiently service the ground users, the interference caused by the signal transmission and illumination of UAVs must be considered. This problem is formulated as an optimization problem whose goal is to optimize the deployment of UAVs so as to minimize the power consumption for signal transmission and illumination. An iterative algorithm is first proposed to transform the optimization problem into a series of interdependent subproblems, and the transformed problems are then solved by the Lagrangian dual method. In addition, convergence and complexity of the algorithm are also analyzed. Numerical results show that the proposed scheme can reduce at least 53.7% power consumption when compared to the baselines with UAVs at the center of each sub-area.

关键词： Lighting Optimization Light emitting diodes Unmanned aerial vehicles Power demand Optical transmitters convergence

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