检索结果-内蒙古大学图书馆

20th IEEE International Conference on communication technology, ICCT 2020

作者： Gao, Teng Wang, Lijun Jin, Xiaofan No.36 Research Institute of Cetc Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781728181417

Carrier-aided code tracking loop is widely used in satellite navigation receivers. This kind of loop structure can reduce code tracking noise by narrowing the bandwidth of code tracking loop. The performance of carrier-aided code tracking loop in receivers is affected by frequency deviation of reference clock source. This paper analyzes the influence of carrier frequency offset and sampling frequency offset on carrier-aided code tracking loop due to reference clock offset. The results show that large frequency offset can cause code tracking loop lose lock, code tracking loop is more sensitive to sampling frequency deviation and increasing the loop bandwidth can reduce the effects of frequency offset. This analysis provides reference for receiver tracking loop design. © 2020 IEEE.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks

arXiv

引用

arXiv 2024年

作者： Gong, Cheng Chen, Yao Luo, Qiuyang Lu, Ye Li, Tao Zhang, Yuzhi Sun, Yufei Zhang, Le College of Software Nankai University China College of Computer Science Nankai University China National University of Singapore Singapore School of Information and Communication Engineering University of Electronic Science and Technology of China China HAIHE Lab of ITAI China Tianjin Key Laboratory of Network and Data Security Technology China Key Laboratory of Data and Intelligent System Security Ministry of Education

Multi-exit network is a promising architecture for efficient model inference by sharing backbone networks and weights among multiple exits. However, the gradient conflict of the shared weights results in sub-optimal accuracy. This paper introduces Deep Feature Surgery (DFS), which consists of feature partitioning and feature referencing approaches to resolve gradient conflict issues during the training of multi-exit networks. The feature partitioning separates shared features along the depth axis among all exits to alleviate gradient conflict while simultaneously promoting joint optimization for each exit. Subsequently, feature referencing enhances multi-scale features for distinct exits across varying depths to improve the model accuracy. Furthermore, DFS reduces the training operations with the reduced complexity of backpropagation. Experimental results on Cifar100 and ImageNet datasets exhibit that DFS provides up to a 50.00% reduction in training time and attains up to a 6.94% enhancement in accuracy when contrasted with baseline methods across diverse models and tasks. Budgeted batch classification evaluation on MSDNet demonstrates that DFS uses about 2× fewer average FLOPs per image to achieve the same classification accuracy as baseline methods on Cifar100. The code is available at https: //***/GongCheng1919/dfs. Copyright © 2024, The Authors. All rights reserved.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

A Method of Shadowsocks(R) Traffic Identification Based on Protocol Analysis 21

A Method of Shadowsocks(R) Traffic Identification Based on P...

引用

21st IEEE International Conference on communication technology, ICCT 2021

作者： Luo, Jie Bao, Liang Ni, Lvlin The 30th Research Institute of China Electronics Technology Group Corporation Science and Technology on Communication Security Laboratory Sichuan Chengdu China The Third Research Institute of Ministry of Public Security Key Lab of Information Network Security of Ministry of Public Security Shanghai China

ISBN: (纸本)9781665432061

Shadowsocks (R) is a proxy software based on Socks5, which is the collective name of Shadowsocks and Shadowsocks (R). In order to improves the shortcomings of other softwares breaking internet censorship, Shadowsocks (R) is a private protocol without handshake negotiation mechanism, and pays more attention to high camouflage and high concealment of traffic, which makes it difficult to use common methods(fingerprint identification, port filtering)to identify Shadowsocks (R) traffic[1], This paper proposes a method of Shadowsocks (R) traffic identification from the perspective of the protocol, which extracts features from four dimensions, and inputs features into the machine learning model for training. This method performs secondary identification and statistical filtering on the output of the machine learning model, and finally identifys Shadowsocks (R) traffic. This method has been very well validated in the laboratory environment. © 2021 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Simultaneous wireless information and power transfer transmitting architecture based on asynchronous space-time-coding digital metasurface[Invited]

引用

Chinese Optics Letters 2023年第8期21卷 17-22页

作者：祁振杰戴俊彦王思然周群焰唐万恺王凯岑张澎刘硕李龙程强崔铁军 State Key Laboratory of Millimeter Waves Southeast UniversityNanjing 210096China Institute of Electromagnetic Space Southeast UniversityNanjing 210096China Frontiers Science Center for Mobile Information Communication and Security Southeast UniversityNanjing 210096China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China National Key Laboratory of Electromagnetic Information Control and Effects Shenyang 110035China Key Laboratory of High-Speed Circuit Design and EMC of Ministry of Education Xidian UniversityXi'an 710071China

Simultaneous wireless information and power transfer(SWIPT)architecture is commonly applied in wireless sensors or Internet of Things(IoT)devices,providing both wireless power sources and communication ***,the traditional SWIPT transmitter usually suffers from cross-talk distortion caused by the high peak-to-average power ratio of the input signal and the reduction of power amplifier *** paper proposes a SWIPT transmitting architecture based on an asynchronous space-time-coding digital metasurface(ASTCM).High-efficiency simultaneous transfer of information and power is achieved via energy distribution and information processing of the wireless monophonic signal reflected from the *** demonstrate the feasibility of the proposed method through theoretical derivations and experimental verification,which is therefore believed to have great potential in wireless communications and the IoT devices.

关键词： simultaneous wireless information and power transfer asynchronous space-time-coding digital metasurface quadrature phase-shift keying modulation

来源：评论

学校读者我要写书评

暂无评论

High Precision Translational Compensation for Ultrahigh Resolution ISAR

High Precision Translational Compensation for Ultrahigh Reso...

引用

International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Lichao Yang Science and Technology on Communication Information Security Control Laboratory No. 36 Research Institute of CETC

ISBN: (数字)9781665418126

ISBN: (纸本)9781665418133

In recent years, due to the emergence of ultrahigh resolution (UHR) radar systems, the bandwidth of radar has been increasing. However, conventional imaging algorithms have difficulties in the translational compensation of UHR inverse synthetic aperture radar (ISAR) data with high order range cell migration (RCM) and phase error. In this paper, a high-precision translational compensation method based on power flatness optimization (PFO) is proposed. The algorithm constructs the optimal criterion of power flatness and ensure the complete extraction of the prominent point energy. Then, the original data is compensated in the two-dimensional data domain through the prominent point phase inversion matrix. The results show that the proposed algorithm has significantly improved accuracy in the translational compensation of ultrahigh-resolution ISAR imaging compared with traditional algorithms.

关键词： Image resolution Energy resolution Imaging Bandwidth Radar imaging UHF antennas Radar antennas

来源：评论

学校读者我要写书评

暂无评论

Interference Coordination technology of Ultra Dense Deployment Based on Clustering Algorithm

Interference Coordination Technology of Ultra Dense Deployme...

引用

IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)

作者： Haoyuan Wang Yue Tian Wenda Li Fujian Key Laboratory of Communication Network and Information Processing Xiamen University of Technology Xiamen China Department of Security and Crime Science University College London London United Kingdom

A clustering algorithm based Ultra Dense Deployment is proposed to address the problem of establishing a reasonable interference model and allocating ABS reasonably to minimize interference and maximize throughput in Ultra Dense Deployment. By analyzing the distribution pattern of low-power nodes in Ultra Dense Deployment, the interference generated by the cluster center is used to replace the interference of other nodes in the class. According to the principle of interference minimization, a distributed allocation scheme for ABS time slots based on K-means clustering is proposed, and a polling algorithm is used for user scheduling. Simulation results show that compared with the generalized interference model and traditional binary models, the interference calculation is more accurate, The throughput of the system is also higher.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Joint Vehicle Pairing, Spectrum Assignment and Power control for Sum-Rate Maximization in NOMA-Based V2X Underlaid Cellular Networks

引用

IEEE Internet of Things Journal 2025年

作者： Xue, Tong Zhang, Haixia Ding, Hui Yuan, Dongfeng Shandong University of Science and Technology College of Electronic and Information Engineering Shandong Qingdao266590 China Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration Shandong Jinan250061 China Shandong University School of Control Science and Engineering Shandong Jinan250061 China

Vehicle-to-everything (V2X) underlaid cellular networks in underlaid mode suffers catastrophic co-channel interference caused by spectrum sharing, results in a reduced system sum-rate. To cope with this, this work studies a social-mobility-aware non-orthogonal multiple access (NOMA)-enabled V2X underlaid cellular network to mitigate the co-channel interference and improve the sum-rate. By jointly optimizing vehicle pairing and resources, a sum-rate maximization problem is formulated under the diverse quality of service requirements of both cellular and vehicular users. The formulated problem is proved to be a non-deterministic polynomial-time (NP)-hard problem, and is difficult to solve. As an alternative, we propose a NOMA-based joint vehicle pairing, spectrum assignment and power control algorithm (NOMA-JVP-SA-PCA), with which the original problem is decomposed into two disjoint subproblems, i. e., 1) joint vehicle pairing and spectrum assignment subproblem, and 2) power control subproblem. Dealing the first subproblem, we propose a heuristic social-mobility-aware vehicle pairing algorithm (HSMA-VPA) and a revised Kuhn-munkres-based spectrum assignment algorithm (KM-SAA) to acquire the vehicle pairing and spectrum assignment solutions. Then, solving the second subproblem, a closed-form power solution is obtained utilizing a three-dimensional geometric power control approach (3D-PCA). Finally, we solve the original problem through an iterative method. Simulation results show that the proposed NOMA-JVP-SA-PCA effectively enhances the sum-rate and outperforms the baseline algorithms around 24%-53% within a specific range. © 2014 IEEE.

关键词： Polynomial approximation

来源：评论

学校读者我要写书评

暂无评论

Link reliability prediction for long-range underwater acoustic communications between gliders

Link reliability prediction for long-range underwater acoust...

引用

2021 IEEE/CIC International Conference on communications in China, ICCC Workshops 2021

作者： Zhang, Lan Feng, W. Li, Jianlong Zhu, Huijie Science and Technology on Communication Information Security Control Laboratory Jiaxing314000 China Research Institution of China Electronics Technology Group Corporation Jiaxing341000 China Zhejiang University Ocean College Zhoushan316021 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China

ISBN: (纸本)9781665439442

Channel modeling and the prediction of the reliability of acoustic link is the key to a successful deployment of underwater acoustic networks (UAN). In this paper, we build a Bellhop-based simulation framework driven by the environmental data to assess and predict the quality of the long-range and low-frequency communication links between the unmanned platforms in the deep ocean. The environmental data is measured in the South China Sea Experiment 2020 (SCSEx20). Results of channel modeling and link reliability prediction are reported in terms of the estimated channel impulse response (CIR), signal-to-noise ratio (SNR), and bit rate error (BER). The analysis shows how the communication performance of the physical level is dominated by the environmental data, aiming at evaluating the communication performance, and correlating the variation of the environmental conditions to the reliability of the entire communication link. © 2021 IEEE.

关键词： Underwater acoustic communication

来源：评论

学校读者我要写书评

暂无评论

Edge Node Cooperation and Resource Sharing in Mobile Edge Computing

Edge Node Cooperation and Resource Sharing in Mobile Edge Co...

引用

International Conference on Wireless communications and Signal Processing (WCSP)

作者： Anqi Meng Xiaozheng Gao Yuting Huang Zhan Xu Jiadong Shang Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Remote Sensing Equipment Beijing China

As edge computing undergoes ongoing development propelled by the advancements in Internet of Things and mobile communication technologies, the issue of edge node cooperation and resource sharing needs to be investigated. In this paper, the issue of edge node cooperation and resource sharing is modeled as a two-layer framework. In the lower layer, a heuristic matching algorithm between users and edge nodes is developed, and a resource sharing algorithm among edge nodes in the same coalition is proposed. In the upper layer, a coalition formation algorithm is designed based on the coalition game. Simulation results show that the proposed algorithms reduce the network cost effectively compared with non-cooperative scheme.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Domain Generalization for Cross-Receiver Radio Frequency Fingerprint Identification

arXiv

引用

arXiv 2024年

作者： Zhang, Ying Li, Qiang Liu, Hongli Yang, Liu Yang, Jian School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Beijing Institute of Technology Beijing100081 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100083 China

Radio Frequency Fingerprint Identification (RFFI) technology uniquely identifies emitters by analyzing unique distortions in the transmitted signal caused by non-ideal hardware. Recently, RFFI based on deep learning methods has gained popularity and is seen as a promising way to address the device authentication problem for Internet of Things (IoT) systems. However, in cross-receiver scenarios, where the RFFI model is trained over RF signals from some receivers but deployed at a new receiver, the alteration of receiver's characteristics would lead to data distribution shift and cause significant performance degradation at the new receiver. To address this problem, we first perform a theoretical analysis of the cross-receiver generalization error bound and propose a sufficient condition, named Separable Condition (SC), to minimize the classification error probability on the new receiver. Guided by the SC, a Receiver-Independent Emitter Identification (RIEI) model is devised to decouple the received signals into emitter-related features and receiver-related features and only the emitter-related features are used for identification. Furthermore, by leveraging federated learning, we also develop a FedRIEI model to eliminate the need for centralized collection of raw data from multiple receivers. Experiments on two real-world datasets demonstrate the superiority of our proposed methods over some baseline methods. © 2024, CC BY-NC-ND.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：