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25th IEEE Wireless Communications and networking Conference, WCNC 2024

作者： Peng, Zixiang Fan, Shaoshuai Tian, Hui Beijing University Of Posts And Telecommunications State Key Laboratory Of Networking And Switching Technology Beijing100876 China

ISBN: (纸本)9798350303582

In time-division duplex (TDD) systems, where uplink and downlink channels alternate during transmission process, the continuity of carrier phase measurements becomes challenging to maintain. This leads to periodic lock-loss in the phase-locked loop (PLL), rendering the integer ambiguity non-constant. To address this issue, a carrier phase-based localization method for TDD systems via extended Kalman filtering is proposed in this study. The proposed method modifies the one-step predicted state within each TDD cycle based on extended Kalman filtering (EKF) to overcome the effects of PLL lock-loss in TDD. Simulation results verificate that the proposed method can overcome the problem of discontinuous measurement in TDD system, accurately solve integer ambiguities and achieve high-precision positioning. © 2024 IEEE.

关键词： Phase locked loops

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Anomaly Detection on Interleaved Log Data With Semantic Association Mining on Log-Entity Graph

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IEEE TRANSACTIONS ON SOFTWARE ENGINEERING 2025年第2期51卷 581-594页

作者： Chu, Guojun Wang, Jingyu Qi, Qi Sun, Haifeng Zhuang, Zirui He, Bo Jing, Yuhan Zhang, Lei Liao, Jianxin Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100083 Peoples R China China Unicom Network Commun Co Ltd Beijing 100032 Peoples R China

Logs record crucial information about runtime status of software system, which can be utilized for anomaly detection and fault diagnosis. However, techniques struggle to perform effectively when dealing with interleaved logs and entities that influence each other. Although manually specifying a grouping field for each dataset can handle the single grouping scenario, the problems of multiple and heterogeneous grouping still remain unsolved. To break through these limitations, we first design a log semantic association mining approach to convert log sequences into Log-Entity Graph, and then propose a novel log anomaly detection model named Lograph. The semantic association can be utilized to implicitly group the logs and sort out complex dependencies between entities, which have been overlooked in existing literature. Also, a Heterogeneous Graph Attention Network is utilized to effectively capture anomalous patterns of both logs and entities, where Log-Entity Graph serves as a data management and feature engineering module. We evaluate our model on real-world log datasets, comparing with nine baseline models. The experimental results demonstrate that Lograph can improve the accuracy of anomaly detection, especially on the datasets where entity relationships are intricate and grouping strategies are not applicable.

关键词： Semantics Sun Software systems Analytical models Accuracy Runtime Vectors Transformers Telecommunications Log analysis anomaly detection content association knowledge discovery heterogeneous graph heterogeneous graph

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Access Optimization in 802.11ax WLAN for Load Balancing and Competition Avoidance of IPTV Traffic

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IEEE TRANSACTIONS ON BROADCASTING 2024年第2期70卷 401-412页

作者： Shao, Sujie Zhang, Linlin Qi, Fei Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China China Telecom Res Inst Beijing 102209 Peoples R China

With the improvement of terminal intelligence and the enrichment of digital content, terminal density is showing an explosive growth trend, and the traffic carried by IPTV and other services is rapidly increasing. HDHB WLAN (High-Density High-Bandwidth Wireless LAN) is becoming a dominant form of wireless LAN. However, the RSSI-based access mode has led to a notable load imbalance, and the resource competition mode based on random access intensifies the difficulty of access resource acquisition, which exacerbates the traffic challenges faced by WLAN. IEEE 802.11ax somewhat alleviates traffic pressure, but it does not fundamentally solve these problems. This paper introduces an access optimization mechanism for the 802.11ax HDHB WLAN, which aims to achieve load balancing while considering competition avoidance, alleviating the pressure of IPTV traffic. First, an 802.11ax access optimization architecture for HDHB WLAN is constructed, aimed at alleviating traffic pressure and meeting the quality requirements of IPTV and other services by modifying access processes of terminals. Next, a terminal information acquisition and interactive access control strategy based on the trigger frame is devised to obtain accurate parameter information and facilitate orderly concurrent access control for high-density terminals. Additionally, a load balancing and competition avoidance oriented access control method for HDHB WLAN is proposed, including an access optimization control model, and an access strategy generation algorithm based on the Improved DQN algorithm. Finally, simulation results show that the global throughput and load balancing of HDHB WLAN are improved, consequently reducing overall WLAN traffic pressure.

关键词： WLAN access 802.11ax load balancing competition avoidance

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Communication-Computing Built-in-Design in Next-Generation Radio Access Networks: Architecture and key Technologies

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IEEE NETWORK 2024年第3期38卷 100-108页

作者： Guo, Fengxian Peng, Mugen Li, Nan Sun, Qi Li, Xiang Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China China Mobile Res Inst Beijing 100053 Peoples R China

The edge computing paradigm presents a promising solution for low-latency and high-throughput data processing, which is critical for future life-changing applications, such as autonomous driving and metaverse. Concurrently, the current radio access network (RAN) is evolving toward virtualization, intelligence, and flexibility, making it an ideal edge computing platform. However, the full potential of such a synergistic system has not yet been unleashed due to the lack of coordination between communication and computing. To better support diverse applications, this article proposes a communication-computing co-design approach for the next-generation RAN to embrace computing in a built-in manner. At a high level, we overview the features of communication and computing, identify the efforts and limitations of the current system, and introduce the designed architecture. From the perspective of communication and computing coordination, key technologies are introduced, including internetworking for computing terminals, traffic steering, and mobility management. A use case referring to mobility management is studied to verify the effectiveness of the built-in approach. We outline some critical challenges, thereby indicating future potential research directions in future RAN.

关键词： Cloud computing Edge computing Costs Computer architecture Quality of service Delays Backhaul networks Radio access networks Next generation networking Virtualization Metaverse Low latency communication Internetworking Data processing Autonomous vehicles

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Hybrid CRB Analysis for Location Sensing in UAV mmWave Systems Under Jittering Effects 16

Hybrid CRB Analysis for Location Sensing in UAV mmWave Syste...

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16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Chen, Wenyun Liu, Chenxi Peng, Mugen Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350390643

Unmanned aerial vehicle (UAV) systems are vulnerable to the inevitable UAV jitter, the impacts of which on both communications and sensing become more detrimental in the high frequency millimeter wave (mmWave) band. While the UAV jittering effects on communications have been intensively investigated, those on sensing have so far drawn little attention. In this paper, we investigate the location sensing performance of the UAV mmWave system in the presence of jitter. To this end, we identify that the location sensing performance under jittering effects is determined not only the deterministic target's location, but also random instantaneous attitude angles of the UAV. Based on this identification, we derive the closed-form expression of the hybrid Cramer-Rao bound (HCRB) and its approximation to characterize the location sensing performance of our considered system, revealing how the UAV jitter introduces extra location sensing error. Through numerical results, we validate our HCRB analysis. Moreover, we show that the detrimental effects of UAV jitter can be well alleviated by increasing the number of measurements. © 2024 IEEE.

关键词： Cramer-Rao bounds

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LMGD: Log-Metric Combined Microservice Anomaly Detection Through Graph-Based Deep Learning

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IEEE ACCESS 2024年 12卷 186510-186519页

作者： Liu, Xu Liu, Yuewen Wei, Miaomiao Xu, Peng China Acad Ind Internet Beijing 100083 Peoples R China Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

Microservice architecture is a high-cohesion and low-coupling software architecture. Its core idea is to split the application into a set of microservices with a single function and independent deployment. Due to their complexity and large scale, microservice systems are typically fragile and failures are inevitable. Therefore, there is an urgent need for fast and accurate anomaly detection capabilities. However, the existing microservice anomaly detection methods do not pay attention to the multi-source data of the microservice system and thus have low accuracy. To address this limitation, we propose a Log-Metric Combined Microservice Anomaly Detection approach through Graph-based Deep Learning (termed as LMGD). First, we propose a time-aware LSTM prediction neural network to improve the accuracy of service dependency mining. Secondly, based on the service dependency graph, we propose an anomaly detection method based on log-metric fusion, which can more accurately describe the running status of microservices, thereby improving the accuracy of anomaly detection. The experimental outcomes demonstrate that compared with other state-of-the-art methods, our method improves recall and F1-score by 2.63% and 1.05%.

关键词： Microservice architectures Anomaly detection Measurement Long short term memory Logic gates Monitoring Data models Real-time systems Vectors Predictive models log metrics distributed systems GCN GAT

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Intellicise communication system: model-driven semantic communications

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The Journal of China Universities of Posts and Telecommunications 2022年第1期29卷 2-12页

作者： Zhang Ping Xu Xiaodong Dong Chen Han Shujun Wang Bizhu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

As one of the critical technologies for the 6 th generation mobile communication system(6 G) mobile communication systems, artificial intelligence(AI) technology will provide complete automation for connecting the virtual and physical worlds. In order to construct the future ubiquitous intelligent network, people are beginning to rethink how mobile communication systems transmit and exploit intelligent information. This paper proposes a new communication paradigm, called the Intellicise communication system: model-driven semantic communication. Intellicise communication system is built on top of the traditional communication system and innovatively adds a new feature dimension on top of the traditional source coding, which enables the communication system to evolve from the traditional transmission of bit to the transmission of "model". Like the semantic base(Seb) for semantic communication, the model is considered as the new feature obtained from the joint source-channel coding. The sink node can re-construct the original signal based on the received model and the encoded sequence. In addition, the performance evaluation metrics and the implementation details of the Intellicise communication system are discussed in this paper. Finally, preliminary results of model-driven image transmission in the Intellicise communication system are presented.

关键词： Intellicise communication system semantic communications model driven the 6th generation mobile communication system artificial intelligence

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EACE: A document-level event argument extraction model with argument constraint enhancement

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INFORMATION PROCESSING & MANAGEMENT 2024年第1期61卷

作者： Zhou, Ji Shuang, Kai Wang, Qiwei Yao, Xuyang Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China China Telecom Res Inst Beijing 102209 Peoples R China

There are two key challenges remaining for the document-level event argument extraction tasks: long-range dependency and same-role argument assignment. The existing methods could not effectively handle the above two challenges at the same time, resulting in argument misidentification and over-or under-extraction, reducing the precision and recall of event argument extraction. In this paper, we propose a document-level event argument extraction model with argument constraint enhancement (EACE), which constructs the argument constraint tree using the hierarchical constraints between arguments to address the above two challenges simultaneously. Specifically, EACE first constructs an argument constraint decoder and uses abstractive summarization to establish the long-range hierarchical constraint relationships between arguments and to obtain the trunk structure of the argument constraint tree, which improves argument identification precision. Secondly, EACE calculates dynamic branch thresholds to expand the branch structure of the argument constraint tree and improve the recall of argument extraction. Extensive experiments on WIKIEVENTS and RAMS have shown that EACE outperforms the baseline models by 2.2% F1 and 0.2% F1, respectively. Moreover, it exceeds the baseline model (PAIE) by up to 17.1% F1 in the same-role argument assignment setting in WIKIEVENTS.

关键词： Event argument extraction Event constraint Document-level Abstractive summarization

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Queuing Analysis of Energy Harvesting-Aided NOMA-MEC Network

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IEEE TRANSACTIONS ON VEHICULAR technology 2024年第9期73卷 14068-14073页

作者： Meng, Yue Zhang, Zhi Huang, Yuzhen Zhang, Ping Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China Acad Mil Sci PLA Beijing 100097 Peoples R China

Non-orthogonal multiple access (NOMA) and energy harvesting (EH) have emerged as promising technologies to improve the energy efficiency and capacity of mobile edge computing (MEC) network. In this network, the mobile users utilize harvested energy to support the tasks computed locally or offloaded to MEC server through NOMA transmission. We propose an analytical framework to comprehensively explore the performance of the task processing procedure under EH-aided NOMA-MEC network. Specifically, taking into account the EH constraint, local computing capacity, and NOMA offloading constraint, a four-dimensional Markov chain is introduced to model the task processing in each mobile user. To obtain the steady state of this Markov chain, we employ queuing theory to construct a discrete-time Geo/G/1 queue. By deriving the successful computation probability and the successful offloading probability, the mean response time for task completion is derived, which is a critical performance metric for the network. Numerical simulations are provided to verify the accuracy and facilitate the performance of the proposed framework.

关键词： Task analysis NOMA Servers Energy consumption Computational modeling Signal to noise ratio Resource management MEC EH queuing analysis

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DAmpADF: A framework for DNS amplification attack defense based on Bloom filters and NAmpKeeper

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COMPUTERS & SECURITY 2024年 139卷

作者： Dai, Yunwei Huang, Tao Wang, Shuo Southeast Univ Sch Cyber Sci & Engn Nanjing Peoples R China Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China

Domain Name System (DNS) amplification attacks exploit botnets and open recursive DNS servers to launch Distributed Denial of Service (DDoS) attacks. During an attack, the attacker leverages infected computers (bots) to perpetually send small spoofed DNS queries to numerous open recursive DNS servers. The servers, in turn, respond with lots of large DNS responses, which are reflected back to the victim. Such responses are usually several times larger than the original queries, and could exhaust the resources of CPUs, memory, and network bandwidth, rendering them unavailable for benign users. However, most in -network DDoS mitigation systems today inevitably cause normal DNS responses to be discarded while scrubbing traffic, as they do not distinguish between legitimate and malicious responses. To address this issue, some existing solutions employ Bloom filters to filter out unsolicited DNS responses, utilizing the "one-to-one mapping" relationship between DNS queries and responses. In this work, we present a framework called DAmpADF, designed to defend against DNS amplification attacks. The framework employs Bloom filters at the edge or core routers of Internet Service Providers (ISPs) or organizations to filter out malicious DNS responses. To reduce the false positives of the Bloom filters, we propose a novel data structure called the Non -amplifier Keeper (NAmpKeeper), which maintains the most frequently queried DNS servers that are not DNS amplifiers. By excluding queries to non -amplifiers from the Bloom filters, the false positives of Bloom filters are decreased significantly. Experimental results show that DAmpADF outperforms previous methods and achieves a superior filtration ratio of illegitimate DNS responses. Furthermore, the proposed approach incurs small, constant processing and memory overhead, enabling support for high line rates.

关键词： Network security DDoS Bloom filter NAmpKeeper DNS Amplification attack

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