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Road-Condition-Aware Dynamic Path Planning for Intelligent Vehicles

Procedia computer Science 2020年 174卷 419-423页

作者： Yan Chen Anming Dong Yi Sun School of Information Science and Engineering Qufu Normal University Rizhao 276826 China School of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) Jinan 250353 China Computer Science Center (National Supercomputer Center in Jinan) Shandong Provincial Key Laboratory of Computer Networks Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 China

Intelligent vehicles face a more complex driving environment, which requires their path planning algorithms to have the ability to respond quickly to complex environmental changes. Therefore, it is very necessary to plan the optimal path for smart vehicles in real-time. Recently, the convergence of graph dynamics and its equivalence with the shortest path solution have been proved, and the biased minimum consensus algorithm has been successfully applied to the shortest path planning problem. In this paper, considering the road conditions (degree of congestion, whether an accident occurred, etc.) and the Euclidean distance of the route, we improve biased minimum consensus algorithm to achieve optimal path planning in the complex situation of real-time updating of road conditions. In the simulation, we used the algorithm for path planning in the road topological maps of Beijing City, and compared with the RRT (Rapidly-exploring Random Trees Algorithm) algorithm and the BRRT (Bidirectional Rapidly-exploring Random Trees Algorithm) algorithm. The improved biased minimum consensus algorithm has better performance in real-time path planning problems. The research results shed new light on the real-time dynamic path planning in real traffic, which has practical significance.

关键词： Intelligent Vehicle Path Planning Improved Biased Minimum Consensus Algorithm Optimal Path

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Robust Deep Learning-Based Physical Layer Communications: Strategies and Approaches

arXiv

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arXiv 2025年

作者： Zhu, Fenghao Wang, Xinquan Zhu, Chen Gong, Tierui Yang, Zhaohui Huang, Chongwen Chen, Xiaoming Zhang, Zhaoyang Debbah, Mérouane College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing Hangzhou310027 China Polytechnic Institute Zhejiang University Hangzhou310015 China Nanyang Technological University Singapore639798 Singapore KU 6G Research Center Department of Computer and Information Engineering Khalifa University Abu Dhabi127788 United Arab Emirates

Deep learning (DL) has emerged as a transformative technology with immense potential to reshape the sixth-generation (6G) wireless communication network. By utilizing advanced algorithms for feature extraction and pattern recognition, DL provides unprecedented capabilities in optimizing the network efficiency and performance, particularly in physical layer communications. Although DL technologies present the great potential, they also face significant challenges related to the robustness, which are expected to intensify in the complex and demanding 6G environment. Specifically, current DL models typically exhibit substantial performance degradation in dynamic environments with time-varying channels, interference of noise and different scenarios, which affect their effectiveness in diverse real-world applications. This paper provides a comprehensive overview of strategies and approaches for robust DL-based methods in physical layer communications. First we introduce the key challenges that current DL models face. Then we delve into a detailed examination of DL approaches specifically tailored to enhance robustness in 6G, which are classified into data-driven and model-driven strategies. Finally, we verify the effectiveness of these methods by case studies and outline future research directions. Copyright © 2025, The Authors. All rights reserved.

关键词： Feature Selection

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A Framework to Preserve User Privacy for Machine Learning as a Service

A Framework to Preserve User Privacy for Machine Learning as...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Ben Niu Likun Zhang Yahong Chen Ang Li Wei Du Jin Cao Fenghua Li Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Duke University Durham USA Department of Computer Science and Computer Engineering University of Arkansas Fayetteville USA State Key Laboratory of Integrated Services Networks School of Cyber Engineering Xidian University Beijing China

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

Suffered from the contradiction between the limited capacity of local devices and large size of DNN models, a practical solution is transferring the heavy computational tasks from the local to the server side such as cloud. However, the untrusted server naturally requires all the user data to train neural networks and infer results, which causes the asset loss of the local and raises serious privacy concerns on user's sensitive information. To solve this problem in scenarios of machine learning as a service, we propose a general framework to balance the user privacy, model accuracy and training efficiency, simultaneously. Specifically, our representative subset selection algorithm takes the training value of data into account, selecting the most representative subset from the training data, in order to mitigate the loss of data assets, lower down the transmission overhead from the local to the server and lessen the training burden on the server at the same time. We also design a noisy representation transformation algorithm applying on the features extracted by neural networks to further perturb the data within the selected representative subset. Extensive experiments demonstrate that our framework can run locally with little sacrifice on the computation resource. It can not only protect private data before uploading, but also promote the training efficiency of servers.

关键词： Servers Training Data models Task analysis Privacy Feature extraction Computational modeling

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Robust Deep Learning-Based Physical Layer Communications: Strategies and Approaches

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IEEE Network 2025年

作者： Zhu, Fenghao Wang, Xinquan Zhu, Chen Gong, Tierui Yang, Zhaohui Huang, Chongwen Chen, Xiaoming Zhang, Zhaoyang Debbah, Merouane Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing Hangzhou310027 China Zhejiang University Polytechnic Institute Hangzhou310015 China Nanyang Technological University 639798 Singapore Khalifa University KU6G Research Center Department of Computer and Information Engineering Abu Dhabi127788 United Arab Emirates

关键词： Feature Selection

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An Intelligent Garbage Bin Based on NB-IoT 8th

An Intelligent Garbage Bin Based on NB-IoT

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8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019

作者： Guo, Yazhou Li, Ming Mao, Kai Ma, Zhuoan Lu, Yin Bell Honors School Nanjing University of Posts and Telecommunications Nanjing210023 China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing210003 China Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Nanjing University of Posts and Telecommunications Ministry of Education Nanjing China

ISBN: (纸本)9789811394089

Most of the garbage bins in public places are traditionally fixed, which are limited by the number of garbage bins, limited capacity, untimely cleaning and uneven placement, and other factors, causing inconvenience for people to use garbage bins [1]. This paper designs an intelligent garbage bin. Based on NB-IoT communication technology, it realizes the functions of self-moving and collecting garbage, self-detecting garbage capacity in the bin, temperature and humidity monitoring and so on. The design is divided into three parts: intelligent robot module, sensor circuit module and NB-IoT communication module. The intelligent robot module is mainly responsible for the mobile and obstacle avoidance function of the intelligent garbage bin, and realizes traversal and surround in the setting environment scene [2]. The sensor module is the core of the hardware system, which realizes the functions of obstacle avoidance evaluation, capacity monitoring, heat source induction and so on. The platform establishes contacts to feedback the contents of barrels, temperature, humidity, electricity and other information in a timely manner. This design combines convenience and practicability, and can improve the sanitary condition of public places. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Machine design

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Constructions of complementary sequence sets and complete complementary codes by 2-level autocorrelation sequences and permutation polynomials

arXiv

引用

arXiv 2020年

作者： Wang, Zilong Gong, Guang State Key Laboratory of Integrated Service Networks Xidian University Xi’an 710071 China Department of Electrical and Computer Engineering University of Waterloo Waterloo ONN2L 3G1 Canada

In this paper, a recent method to construct complementary sequence sets and complete complementary codes by Hadamard matrices is deeply studied. By taking the algebraic structure of Hadamard matrices into consideration, our main result determine the so-called δ-linear terms and δ-quadratic terms. As a first consequence, a powerful theory linking Golay complementary sets of p-ary (p prime) sequences and the generalized Reed-Muller codes by Kasami et al. is developed. These codes enjoy good error-correcting capability, tightly controlled PMEPR, and significantly extend the range of coding options for applications of OFDM using pn subcarriers. As another consequence, we make a previously unrecognized connection between the sequences in CSSs and CCCs and the sequence with 2-level autocorrelation, trace function and permutation polynomial (PP) over the finite fields, which provides an answer to the open problem proposed by Paterson and Tarokh in 2000. Copyright © 2020, The Authors. All rights reserved.

关键词： Polynomials

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New Constructions of Complementary Sequence Pairs over 4q-QAM

arXiv

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arXiv 2020年

作者： Wang, Zilong Xue, Erzhong Gong, Guang State Key Laboratory of Integrated Service Networks Xidian University Xi’an 710071 China Department of Electrical and Computer Engineering University of Waterloo Waterloo ONN2L 3G1 Canada

The previous constructions of quadrature amplitude modulation (QAM) Golay complementary sequences (GCSs) were generalized as 4q-QAM GCSs of length 2m by Li (the generalized cases I-III for q ≥ 2) in 2010 and Liu (the generalized cases IV-V for q ≥ 3) in 2013 respectively. Those sequences are represented as the weighted sum of q quaternary standard GCSs. In this paper, we present two new constructions for 4q-QAM GCSs of length 2m, where the proposed sequences are also represented as the weighted sum of q quaternary standard GCSs. It is shown that the generalized cases I-V are special cases of these two constructions. In particular, if q is a composite number, a great number of new GCSs other than the sequences in the generalized cases I-V will arise. For example, in the case q = 4, the number of new GCSs is seven times more than those in the generalized cases IV-V. In the case q = 6, the ratio of the number of new GCSs and the generalized cases IV-V is greater than six and will increase in proportion with m. Moreover, our proof implies all the mentioned GCSs over QAM in this paper can be regarded as projections of Golay complementary arrays of size 2 × 2 × · · · × 2. Copyright © 2020, The Authors. All rights reserved.

关键词： Quadrature amplitude modulation

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Field Trial of Stable Radio Frequency Transfer System in 100 km Metropolitan Optical Fiber Link

Field Trial of Stable Radio Frequency Transfer System in 100...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Chenxia Liu Shujin Zhou Zhuoze Zhao Hao Gao Jinting Cong Jianming Shang Xing Chen Bin Luo Song Yu Hong Guo State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Center for Quantum Information Technology Center for Computational Science and Engineering Peking University Beijing China

ISBN: (数字)9781728164304

ISBN: (纸本)9781728167534

We report on a stable radio frequency (RF) transfer experiment via 100 km metropolitan optical fiber link in Beijing area. The link connecting Daniufang and Fangzhuang is composed of two parallel 50-km dark optical fibers with a total loss of 31 dB. The dual phase locked loops (dual-PLL) configuration is designed in our stable fiber-optic RF transfer system. The measured fractional frequency stability (ADEV) of 2.4 GHz RF signal transmission system approaches 1.7×10 -14 @1 s and 2.5×10 -17 @10000 s.

关键词： Optical attenuators Optical fibers Phase locked loops Repeaters Radio frequency Optical noise Signal to noise ratio

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Design of Irregular QC-LDPC Code Based Multi-Level Coded Modulation Scheme for High Speed Optical Communication Systems

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China Communications 2019年第5期16卷 106-120页

作者： Liqian Wang Dongdong Wang Yongjing Ni Xue Chen Midou Cui Fu Yang Beijing University of Posts and Telecommunications Beijing 100876China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang 050081China Science and Technology on Communication Networks Laboratory Shijiazhuang 050081China College of Information Science and Engineering Yanshan UniversityQinhuangdao 066000China College of Information Science and Engineering Hebei University of Science and TechnologyShijiazhuang 050000China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao 066000China

In this paper, we focus on the design of irregular QC-LDPC code based multi-level coded modulation(MLCM) scheme by jointly optimizing the component code rate and the degree distribution of the irregular QC-LDPC component code. Firstly, the sub-channel capacities of MLCM systems is analyzed and discussed, based on which the optimal component code rate can be obtained. Secondly, an extrinsic information transfer chart based two-stage searching algorithm is proposed to find the good irregular QC-LDPC code ensembles with optimal component code rates for their corresponding sub-channels. Finally, by constructing the irregular QC-LDPC component codes from the designed ensembles with the aim of possibly enlarging the girth and reducing the number of the shortest cycles, the designed irregular QC-LDPC code based 16QAM and 64QAM MLCM systems can achieve 0.4 dB and 1.2 dB net coding gain, respectively, compared with the recently proposed regular QC-LDPC code based 16QAM and 64QAM MLCM systems.

关键词： quasi-cyclic low-density parity check (QC-LDPC) code irregular, extrinsic information transfer(EXIT) chart generalized mutual information(GMI) multi-level coded modulation(MLCM)

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Improved small gain conditions for input-to-state stability with respect to measurement functions: Discrete time networked system

Improved small gain conditions for input-to-state stability ...

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IEEE Conference on Decision and Control

作者： Yuanqiu Mo Changbin Yu Soura Dasgupta Westlake Institute for Advanced Study Westlake University Hangzhou China College of Artificial Intelligence and Big Data Shandong First Medical University & Shandong Academy of Medical Sciences Jinan China Institute for Intelligent Robots Fudan University Shanghai China Shandong Computer Science Center Shandong Provincial Key Laboratory of Computer Networks China Faculty of Engineering & the Built Environment University of Johannes-Burg Johannesburg South Africa University of Iowa Iowa City Iowa USA

ISBN: (纸本)9781665436601

In this paper we study input-to-state stability with respect to measurement functions for discrete time networked systems. In such a networked system, the trajectory of each subsystem is affected by another in each time step, and this constraining system may change from step to step. We derive small gain conditions of input-to-state stability with respect to measurement functions for this type of discrete time networked system relying on the construction of dissipative-form finite time Lyapunov function. These conditions loosen those presented in [1] and [2]. Finally, we demonstrate the applicability of our results by applying them to the stability analysis of a distributed graph algorithm which does not satisfy the conditions of [1] and [2].

关键词： Network topology Conferences Gain measurement Stability analysis Time measurement Trajectory Topology

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