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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Gao, Xiang Peng, Tao Beijing University of Posts & Telecommunications Wireless Signal Processing and Network Lab Key Laboratory of Universal Wireless Communications Ministry of Education Beijing China

ISBN: (纸本)9798350345384

Data transmission over mobile voice channel (DoV) suffers from vocoder compression and smartphone de-noising. Most previous algorithms ignore these two factors leading to the generated signal being distorted severely during real network transmission. This paper proposes a data modulation algorithm that maps data on the amplitude of different frequency components, and combined with interpolation 0 in frequency domain to obtain short-time stability. Then, a recurrent neural network (RNN) based compensation algorithm is proposed to compensate for distorted signal. As a result, this paper achieves 3.1kb/s data rate with an average 4.5% bit error rate (BER) in real network experiments. Numerical results suggest that the proposed algorithm has a considerable advantage in resisting smartphone de-noising and is capable of reducing distortion generated during transmission. © 2023 IEEE.

关键词： Smartphones

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Multipath Information Announcement Algorithm for Computing Power network based on Self-Organizing Map network

Multipath Information Announcement Algorithm for Computing P...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Li, Kaixiang Zhang, Xing Wang, Wenbo Beijing University of Posts and Telecommunications Wireless Signal Processing and Network Laboratory Beijing100876 China

ISBN: (纸本)9798350345384

Information announcement is a critical technology in the Computing Power network (CPN) for monitoring real-time multi-dimensional resources of computing nodes and synchronizing them with other nodes. This paper first models the problem of minimizing the delay of information announcement as a Traveling Salesman Problem (TSP). Then, the proposed Inverse Euclidean distance Algorithm (IEDA) is utilized to determine the Euclidean space coordinates of each node based on their network delay. Finally, the proposed SOM-based Multi-route Synchronization Algorithm (SMSA) is employed to identify multiple synchronization routes for completing the Com-Net synchronization. The simulation results demonstrate that compared to traditional algorithms, the proposed method can reduce convergence time by nearly 17% and decrease the Age of Information by nearly 4%. © 2023 IEEE.

关键词： Computing power

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A Primal-Dual Interior Point Method for Efficient Probe Weighting in MIMO OTA Testing

A Primal-Dual Interior Point Method for Efficient Probe Weig...

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2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023

作者： Li, Chunhui Li, Yong Wireless Signal Processing and Network Laboratory Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9798350341140

In over-the-air (OTA) performance testing, the prefaded synthesis (PFS) method is widely used to reconstruct the spatial profiles of the target channel by assigning appropriate power weights to each probe. Most research uses general-purpose solvers, e.g., CVX, for accurate probe weighting. These off-the-shelf solvers use various interior point methods (IPMs) to solve convex problems but at the cost of consuming significant amounts of time due to their general-purpose nature. This paper presents a specific probe weighting algorithm based on the primal-dual IPM (PD-IPM). The simulation results demonstrate that the proposed algorithm achieves high computational efficiency for probe weighting with the same level of accuracy as CVX. © 2023 IEEE.

关键词： convex optimization Over-the-air (OTA) probe weighting

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Resource Allocation based on Computing Modeling in Computing Power network

Resource Allocation based on Computing Modeling in Computing...

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2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023

作者： Huang, Haonan Qu, Zheyan Beijing University of Posts and Telecommunications Wireless Signal Processing and Network Laboratory Beijing100876 China

ISBN: (纸本)9798350345407

Computing Power network as a novel network architecture, aims to integrate ubiquitous computing power with the network, enabling intelligent scheduling and efficient allocation of computational resources to meet the high-diversity demands of computational *** resource allocation problem in the computing power network differs from the traditional cloud-edge-end structure. It necessitates adopting a macroscopic perspective to establish an effective mapping between computational resources and demands. However, this task is inherently challenging due to the heterogeneous nature of both resources and *** this paper, we investigate and summarize the current computing modeling scheme. Based on the unified measurement of resources and demand, we model the resource allocation problem in the computing power network as the demand response problem in the smart grid. Then we solve the above problem using game theory, and verify the effectiveness of the method through simulation experiments. © 2023 IEEE.

关键词： Computing power

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Phase-matching quantum key distribution with light source monitoring

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Chinese Physics B 2022年第5期31卷 165-172页

作者： Wen-Ting Li Le Wang Wei Li Sheng-Mei Zhao Institute of Signal Processing Transmission Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing 210003China

The transmission loss of photons during quantum key distribution(QKD)process leads to the linear key rate bound for practical QKD systems without quantum *** matching quantum key distribution(PM-QKD)protocol,an novel QKD protocol,can overcome the constraint with a measurement-device-independent structure,while it still requires the light source to be *** assumption is not guaranteed in practice,leading to practical secure *** this paper,we propose a modified PM-QKD protocol with a light source monitoring,named PM-QKD-LSM protocol,which can guarantee the security of the system under the non-ideal source *** results show that our proposed protocol performs almost the same as the ideal PM-QKD protocol even considering the imperfect factors in practical ***-LSM protocol has a better performance with source fluctuation,and it is robust in symmetric or asymmetric cases.

关键词： phase-matching quantum key distribution source fluctuation light source monitoring

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A Multi-Phase Clock Self-Calibrating Circuit 17

A Multi-Phase Clock Self-Calibrating Circuit

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17th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2024

作者： Li, Zhihuai Jiang, Li Wei, Xueming Cai, Zilu Tang, Jiami Guilin University of Electronic Technology Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin541004 China

ISBN: (纸本)9798350361834

This paper introduces a self-calibrating circuit for multi-phase signals that enables autonomous phase offset calibration in a multi-phase delay-locked loop (MDLL). This paper refines multi-phase signals mismatches using an adjacent phase spacing error extraction technique and a high-precision phase detection circuit. The calibration algorithm addresses the static phase mismatch in the MDLL and mitigates voltage controlled delay line (VCDL) mismatches. The adjacent phase spacing difference extraction technique, by eliminating the need for an actual phase spacing quantization, the adjacent phase spacing difference extraction technique reduces the digital time converter's (DTC) required dynamic range. Utilizing a 40nm CMOS process with a core layout area of 0.02856 mm2, the design simulation results demonstrate a reduction in maximum phase error from 5.96° pre-calibration to 0.718° post-calibration within an input frequency range of 14GHz. © 2024 IEEE.

关键词： CMOS integrated circuits

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Breast Tissue Classification Method Based on Machine Learning

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Recent Patents on Engineering 2024年第1期18卷 18-27页

作者： Li, Yong Tang, Zhiling Zhang, Liangxi College of Information Engineering Chengdu Vocational & Technical College of Industry Sichuan Chengdu China Guangxi Key Laboratory of Wireless Broadband Communication and Signal Processing Guilin University of Electronic Technology Guangxi Guilin China

Early detection and treatment of breast cancer are very necessary, and effective classification of breast tissue is helpful for the diagnosis of breast cancer;so, a classification method named FT_GA_GBDT is proposed. First, the correlations between the features and classification labels of breast tissue samples were determined, and features with higher correlation were analyzed statistically and combined by weight. Thus, feature transformation (FT) is realized. The datasets were then enhanced by calculating the mean and root mean square of the feature attributes of each adjacent odd-and even-row sample with both belonging to the same class. Finally, the genetic algorithm (GA) was used to search the optimal parameters of the gradient boosting decision tree (GBDT) model, and the optimal parameters were substituted into the GBDT to classify the breast tissue. In addition, the K-nearest-neighbor (KNN), support-vector-machine (SVM) and GBDT methods were also used to test the breast tissue classification. Results of 6-fold cross validation on three breast tissue datasets showed that the average Precision, Recall, and F1 score obtained by the FT_GA_GBDT method were better than those obtained by the KNN, SVM and GBDT methods. The results further show that the FT algorithm and searching for the optimal hyper-parameters by the GA were helpful in improving the performance of the breast tissue classification model, which is more obvious when the correlations between features and classification labels are generally not high. © 2024 Bentham Science Publishers.

关键词： Genetic algorithms

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Radiation Effects of On-Chip Transmission Lines on Devices Lying in a Same Chip

Radiation Effects of On-Chip Transmission Lines on Devices L...

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2023 Cross Strait Radio Science and wireless Technology Conference, CSRSWTC 2023

作者： Bai, Yuxin Wang, Yiying Yu, Xinhua Guilin University of Electronic Technology Guangxi Key Laboratory of Wireless Broadband and Signal Processing Guilin541000 China

ISBN: (纸本)9798350358971

In the wake of technological progression, there has been a marked reduction in chip dimensions. Concurrently, a consequence of this miniaturization is the generation of electromagnetic radiation from microstrip lines within the chips during their operational phases, potentially jeopardizing the functionality of nearby electronic components. While the radiation effects of microstrip lines are inconsequential at lower frequencies, this paradigm shifts dramatically as frequencies reach the gigahertz (GHz) domain. At these elevated frequencies, the electromagnetic wavelength becomes comparable to the microstrip line's length, compelling the adoption of meticulous simulation analyses to discern the electromagnetic influence on neighboring equipment. To address this, the current study embarks on an exploration of radiation analysis predicated on a microstrip line model at a frequency of 50 GHz. Utilizing the power transiting through a virtual plane, we probe the interference exerted by the microstrip line on adjacent devices. This endeavor serves to furnish a frame of reference for the high-frequency electromagnetic perturbations impacting nearby electronics. © 2023 IEEE.

关键词： microstrip line radiation

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Identifying important nodes of hypergraph:An improved PageRank algorithm

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Chinese Physics B 2025年第4期34卷 162-171页

作者： Yu-Hao Piao Jun-Yi Wang Ke-Zan Li School of Mathematics and Computing Science Guilin University of Electronic TechnologyGuilin 541004China School of Information and Communication Guilin University of Electronic TechnologyGuilin 541004China Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory Guilin University of Electronic TechnologyGuilin 541004China

Hypergraphs can accurately capture complex higher-order relationships,but it is challenging to identify their important *** this paper,an improved PageRank(ImPageRank)algorithm is designed to identify important nodes in a directed *** algorithm introduces the Jaccard similarity of directed *** comparing the numbers of common neighbors between nodes with the total number of their neighbors,the Jaccard similarity measure takes into account the similarity between nodes that are not directly connected,and can reflect the potential correlation between *** improved susceptible–infected(SI)model in directed hypergraph is proposed,which considers nonlinear propagation mode and more realistic propagation *** addition,some important node evaluation methods are transferred from undirected hypergraphs and applied to directed ***,the ImPageRank algorithm is used to evaluate the performance of the SI model,network robustness and *** of real networks demonstrate the excellent performance of the proposed algorithm and provide a powerful framework for identifying important nodes in directed hypergraphs.

关键词： hypergraph important node PageRank susceptible-infected(SI)model centrality index

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Leak Detection of Underwater Pipelines Based on Machine Learning Algorithms 11

Leak Detection of Underwater Pipelines Based on Machine Lear...

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11th IEEE International Conference on Computer Science and network Technology, ICCSNT 2023

作者： Gao, Yue Wang, Lin-Ge Peng, Shi-Jian Tong, Cheng-Guo Fan, Ya-Xian Tao, Zhi-Yong Guilin University of Electronic Technology Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin China

ISBN: (纸本)9798350311594

Due to the complex marine environment, the leak detection of undersea natural gas pipelines is facing great difficulties. To solve the problem, this paper takes the bubble flow generated by the pipeline leakage as the detection object and uses the ultrasonic transmission method to conduct nondestructive detection. The wavelet threshold method is used to denoise the recorded signals, and the two bubble flow detection models based on the support vector regression (SVR) and BP neural network are proposed. The experimental results and the proposed evaluation indicators indicate that the support vector regression algorithm performs better, which is more suitable for the detection of underwater bubble flow. Therefore, the machine learning algorithm provides effective help for the development of submarine pipeline detection technology in a more efficient and accurate direction. © 2023 IEEE.

关键词： Neural networks

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