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检索条件"机构=State Key Lab.of Networking and Switching Technology"

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Empirical Analysis of Clutter Loss in an Urban Macrocellular Scenario in the Frequency Range of 3.3 to 7.5 GHz

Empirical Analysis of Clutter Loss in an Urban Macrocellular...

引用

IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Peijie Liu Pan Tang Lei Tian Xinyu Zhao Jianhua Zhang State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

Air-space-ground integrated network (ASGIN) is considered as one of the candidate technologies for the sixth generation (6G) mobile communication due to its ubiquitous connectivity and wide coverage. And accurate clutter loss modeling is essential for designing and evaluating satellite/aerial communication systems. This paper presents clutter loss measurements in an urban macrocellular (UMa) scenario in the frequency range of 3.3 to 7.5 GHz. Based on the measured data, we analyze the clutter loss and compare it to the standard model. This work contributes to the investigation and modeling of clutter loss in air-to-ground or space-to-ground channels.

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Object-Based Multipath Transmission Scheduling Algorithm in Multi-Modal Scenarios

Object-Based Multipath Transmission Scheduling Algorithm in ...

引用

IEEE Conference on Global Communications (GLOBECOM)

作者： Zhipeng Zhang Ye Tian Mengyu Yang Xiangyang Gong State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

At present, with the rapid advancement of mul-timedia technology, more and more multimodal applications have emerged. The data communication of multimodal applications involves multiple modalities, and the transmitted data has deadline requirements and block transmission characteristics. However, existing transport layer protocols cannot meet the transmission requirements of applications by perceiving the data attributes and it is difficult to avoid high-priority modalities from excessively seizing transmission resources, resulting in transmission starvation in other modalities. Therefore, this paper considers the data blocks and their transmission requirements of the upper layer application as independent data objects and proposes an object multipath transmission scheduling al-gorithm (OMTS) that can consider the fairness of multimodal transmission. OMTS uses reinforcement learning algorithms to comprehensively consider the transmission requirements of data objects and the quality of multipath network transmission, to determine the transmission order and path allocation strategy of objects. In addition, we also design a model structure that separates scheduling and learning, allowing the algorithm to learn more valuable scheduling strategies through continuous interaction with the environment. The comparative experiment of data transmission through the network simulation environment shows that OMTS is superior to existing scheduling algorithms.

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A 3GPP-Like Channel Simulation Framework Considering Near-Field Spatial non-Stationary Characteristics of Massive MIMO

A 3GPP-Like Channel Simulation Framework Considering Near-Fi...

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IEEE Globecom Workshops

作者： Tianyang Gao Pan Tang Lei Tian Haiyang Miao Zhiqiang Yuan State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

Massive MIMO is considered one of the key enabling technologies of the sixth generation (6G). Massive MIMO channel models are essential for designing, evaluating, and optimizing massive MIMO systems. Focus on the two key features of massive MIMO channels, near-field effect (NF) and spatial non-stationary (SnS), a series of models have been proposed. However, few models provide a simulation framework based on the 3GPP channel model, which is the widely used 5G standard model. This paper proposes a 3GPP-like channel simulation framework for massive MIMO channels called NF-SnS. In this framework, the SnS is simulated using a two-state Markov Chain. The NF is simulated by applying the spherical wavefront. Furthermore, the reliability of the NF-SnS framework is validated by comparing NF-SnS simulation results with the 3GPP model and Ray-Tracing results. Generally, the NF-SnS framework can simulate the NF and SnS characteristics of massive MIMO channels and also has the advantages of the 3GPP channel model, such as low implementation complexity and simple configurations.

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Dual- Polarized Channel Measurements and Modeling at 132 GHz in an Indoor Factory

Dual- Polarized Channel Measurements and Modeling at 132 GHz...

引用

IEEE Globecom Workshops

作者： Peijie Liu Pan Tang Lei Tian Zhaowei Chang Yufeng Qin State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

Due to its wide bandwidth, terahertz (THz) communication technology has the capability to be applied in high-precision positioning and sensing in industrial applications. This paper presents co-polarized and cross-polarized THz channel measurements at 132 GHz in an indoor factory (InF). Firstly, we analyze and model the path loss for both directional and omnidirectional channels. It is found that the path loss exponent (PLE) for horizontal polarization is slightly smaller than that for vertical polarization in the InF. Furthermore, for cross-polarization, certain non-line-of-sight (NLOS) paths have lower path loss than the line-of-sight (LOS) path. Secondly, we calculate the directional and omnidirectional cross-polarization discrimination (XPD). It is observed that the THz channel exhibits higher mean values of the XPD compared to that observed in millimeter wave (mm-Wave) channels. Additionally, we discover a negative correlation between the XPD and the LOS propagation distance. A log-log model is employed to characterize the correlation. Generally, the findings of this work contribute to the precise modeling of polarized THz channels and promote the application of 6G THz communication technology in InF scenarios.

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SDADS: Stream Data Anomaly Detection System

SDADS: Stream Data Anomaly Detection System

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Cloud Computing, Big Data Applications and Software Engineering (CBASE), International Conference on

作者： Yusheng Wang Anyi Zhang State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

In a cloud-native architecture, the operational data of various system components experiences a significant increase. From the distributed complex system, obtaining the operation status data and realizing real-time monitoring and abnormal alarm play an important role in guaranteeing the smooth production. However, handling a large volume of stream data in real-time poses challenges such as high computational demands, low latency, and high concurrency. Therefore, this study presents the design and implementation of a system for anomaly detection in stream data called Stream Data Anomaly Detection System (SDADS). SDADS leverages message queues for processing business data and further processes the data using a distributed computing framework. It also provides functions for persistent data storage and anomaly detection alerts. The use of SDADS enables the management of complex business processes such as server provisioning and application deployment, simplifies business development logic, reduces operational time cost, and allows users to focus solely on the anomaly detection algorithms themselves.

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Meta-inspired Homomorphic Capability Selection Algorithm

Meta-inspired Homomorphic Capability Selection Algorithm

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Anyi Zhang Peng Xu Yunxuan Wang State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

The virtual middle platform, which encapsulates original application data and functions without migration, addresses challenges arising from insufficient trust relationships among capability providers. To resolve the capability selection problem in non-trusted environments, we propose a meta-inspired capability selection algorithm (MHCSA) based on homomorphic cryptography, and propose an improvement scheme to optimize the computation latency. Experimental results demonstrate that MHCSA significantly outperforms other meta-inspired algorithms in terms of homomorphic computation delay, providing an effective solution for non-trusted virtual middle platform scenarios.

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Channel Measurements and Modeling in an Alpine Course Scenario at 4.9 and 26 GHz 8

Channel Measurements and Modeling in an Alpine Course Scenar...

引用

8th IEEE International Conference on Computer and Communications, ICCC 2022

作者： Men, Jun Tian, Lei Tang, Pan Song, Qidu Zhao, Xinyu Liu, Baobao Zhang, Jianhua Xia, Liang Beijing University of Posts and Telecommunications State Key Lab of Networking and Switching Technology Beijing100876 China China Mobile Research Institute Beijing100053 China

ISBN: (纸本)9781665450515

The skiing sports scenario is considered to be one of the application scenarios of the fifth-generation (5G) mobile communication technology. Field channel measurement campaigns are conducted at 4.9 GHz and 26 GHz on an alpine course without snow covered. Based on the measurements, path loss and statistical parameters of delay are analyzed and compared between the two frequency bands. It is found that, in line-of-sight (LOS) case, the path loss exponents (PLEs) are close to those of free space whereas the mean values of the root-mean-square (RMS) delay spread (DS) are nearly the same for both frequency bands. In non-line-of-sight (NLOS) case where the LOS path is blocked by terrain, the PLEs are 9.42 and 13.19 for 4.9 GHz and 26 GHz, respectively. RMS DS is 86.22 ns at 4.9 GHz, which is twice larger than that at 26 GHz. In the case of the receiver is near-ground which emulates the situation of skier falling down, the PLEs are quite large which are 4.9 at 4.9 GHz and 5.9 at 26 GHz. The RMS DS are 14.53 ns and 2.99 ns at 4.9 and 26 GHz, which are extremely smaller than those of the LOS and NLOS case, especially in high frequency band. © 2022 IEEE.

关键词： Millimeter waves

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Load Forecasting Method Based on Prophet 4

Load Forecasting Method Based on Prophet

引用

4th International Conference on Intelligent Power and Systems, ICIPS 2024

作者： Wang, Zhenhao Lin, Rongheng Wang, Baigen Wang, Ou Zhao, Qian Liu, Huizhou Beijing University of Posts and Telecommunications School of Computer Science State Key Lab of Networking and Switching Technology Beijing China Anqing Power Supply Company State Grid Anhui Electric Power Co. Ltd. Anqing China State Grid Anhui Electric Power Co. Ltd. Hefei China

ISBN: (纸本)9798331532765

Electrical safety inspections have always been a necessary condition for the safe operation of power grids, which helps to improve the safety and health level of electricity use by customers, reduce the failure rate of electrical equipment, and ensure the fault-free, safe, and stable operation of the power grid. The load level of electrical safety hazards is an important indicator that describes the size of the load within the safety limits of electrical equipment. Accurate forecasting of the load of electrical safety hazards can predict potential electrical safety incidents in advance, assisting in electrical safety inspections. This paper presents a load forecasting method based on Prophet. Firstly, the load data is preprocessed, then Prophet is used to forecast the load data for the target time period, and finally, the forecasted load values are compared with the actual values using Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the Coefficient of Determination (R2) to evaluate the performance of the algorithm. After testing, the Prophet algorithm has been shown to effectively predict future load data. © 2024 IEEE.

关键词： Power grids

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Intelligent Scheduling of Serverless Computing in Computing Power Networks 9

Intelligent Scheduling of Serverless Computing in Computing ...

引用

9th International Conference on Computer and Communications, ICCC 2023

作者： Liu, Bowen Liang, Xiaochen Zhang, Guiyu Ma, Jichun Li, Minkuan Zhou, Anqi Tang, Qinqin Peng, Kailai Xie, Renchao Beijing University of Post and Telecommunications China Information Technology and Telecommunication Consulting Design Institute Beijing China Beijing University of Post and Telecommunications State Key Lab. of Networking and Switching Technology Beijing China Purple Mountain Laboratories Nanjing211111 China

ISBN: (纸本)9798350317251

In the rapidly evolving landscape of computing power networks, applications are becoming more complex and diverse. Consequently, this evolution has led to a growing need for sophisticated intelligent scheduling mechanisms to adeptly manage these networks. Utilizing intelligent algorithms has become pivotal in ensuring effective and reliable computational services for these intricate networks. This paper addresses the pressing issue of intelligent scheduling in serverless computing power networks. We explore a computing power network system model based on serveless computing, formulate the intelligent task scheduling problem as a multi-objective optimization problem, present a solution that designs task scheduling policies using the Deep Deterministic Policy Gradient (DDPG) algorithm from reinforcement learning. Additionally, we perform experiments to validate the practicality and effectiveness of our proposed approach. © 2023 IEEE.

关键词： Computing power

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A Novel Environment Object Modeling Method for Vehicular ISAC Scenarios

A Novel Environment Object Modeling Method for Vehicular ISA...

引用

IEEE Conference on Wireless Communications and networking

作者： Hanyuan Jiang Yuxiang Zhang Yameng Liu Jianhua Zhang Lei Tian Tao Jiang State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China China Mobile Research Institution Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Integrated Sensing and Communication (ISAC), as a fundamental technology of 6G, empowers Vehicle-to-Everything (V2X) systems with enhanced sensing capabilities. One of its promising applications is the reliance on constructed maps for vehicle positioning. Traditional positioning methods primarily rely on Line-of-Sight (LOS), but in urban vehicular scenarios, obstructions often result in predominantly Non-Line-of-Sight (NLOS) conditions. Existing researched indicate that NLOS paths, characterized by one-bounce reflection on building wall with determined delay and angle, can support sensing and positioning. However, experimental validation remains insufficient. To address this gap, channel measurements are conducted in an urban street to explore the existence of strong reflected paths in the presence of a vehicle target. The results show significant power contribution from NLOS paths, with large Environmental Objects (EOs) playing a key role in shaping NLOS propagation. Then, a novel model for EO reflection is proposed to extend the Geometry-Based Stochastic Model (GBSM) for ISAC channel standardization. Simulation results validate the model's ability to capture EO's power and position characteristics, showing that higher EO-reflected power and closer distance to Rx reduce Delay Spread (DS), which is more favorable for positioning. This model provides theoretical guidance and empirical support for ISAC positioning algorithms and system design in vehicular scenarios.

关键词： 6G mobile communication Stochastic processes Standardization Position measurement Electro-optic effects Integrated sensing and communication Reflection Delays Vehicle-to-everything System analysis and design

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