检索结果-内蒙古大学图书馆

Signal, information and Data Processing (ICSIDP), IEEE International Conference on

作者： Meiding Liu Zhengchun Zhou Qiao Shi Guyue Li Zilong Liu Pingzhi Fan Inkyu Lee School of Information Science and Technology Southwest Jiaotong University Chengdu China School of Cyber Science and Engineering Southeast University Nanjing China School of Computer Science and Electronics Engineering University of Essex Colchester U.K. Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China School of Electrical Engineering Korea University Seoul South Korea

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

In this paper, we consider the joint beamforming design in secure integrated sensing and communication (ISAC) systems, where the active eavesdropper intercepts the transmitted confidential information with an external passive eavesdropper. To improve the sensing performance while preventing the potential eavesdropping, the base station transmits a signal consisting of information symbols and sensing waveform, in which the sensing waveform is also used as artificial noise to interfere with eavesdroppers. Under this setup, we formulate the communication and sensing beamforming design problem, which aims to enhance the transmit beampattern performance, while ensuring the quality of service (QoS) of communication transmission and the secure communication constraint. Furthermore, we propose the semi-definite relaxation (SDR) algorithm to solve the non-convex problem. Numerical results demonstrate the effectiveness of the proposed scheme in both sensing and secure communication.

关键词： Array signal processing Symbols Quality of service Interference information processing Integrated sensing and communication Security Optimization Signal to noise ratio Eavesdropping

来源：评论

学校读者我要写书评

暂无评论

A comprehensive research on exponential smoothing methods in modeling and forecasting cellular traffic

A comprehensive research on exponential smoothing methods in...

引用

作者： Tran, Quang Thanh Hao, Li Trinh, Quang Khai Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China Faculty of Electrical-Electronic Engineering University of Transport and Communications Hanoi Viet Nam

Traffic prediction based on time series analysis methods that are low-cost and low computational complexity can offer more efficient resource management and better QoS. Although exponential smoothing is such a kind of method, there is a lack of application in cellular networks and data traffic research, especially with the robust development of mobile Internet applications nowadays. Therefore, this study provides a comprehensive research on cellular network traffic prediction using exponential smoothing methods. More cases of traffic including voice and data in different time granularities as well as different domains compared with other studies are considered. Besides, more exponential smoothing methods are simultaneously investigated for different cases of traffic. Our multiple case study approach leads to a more convincing result of choosing the best fit model. Data collected from real commercial cellular networks is used for experiments to make the results more practical and persuasively. In our experiment method, the model has the lowest RMSE value is chosen among three types of method. The experiment results show that exponential smoothing methods outperform multiplicative seasonal ARIMA, which is slower and more complex in computation in all cases, so they should be recommended for traffic prediction. © 2019 John Wiley & Sons, Ltd.

关键词： Time series analysis

来源：评论

学校读者我要写书评

暂无评论

Secondary Access Class Barring for Machine Type Communications with PUSCH Resource Constraints

Secondary Access Class Barring for Machine Type Communicatio...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Yuxuan Wen Liu Yang Chaoyuan Bai Heng Liu Communication and Sensor Network for Modern Transportation International Cooperation Center(CSNMT) Southwest Jiaotong University Chengdu P.R.China Key Lab of Information Coding & Transmission Institude of Mobile Communication Southwest Jiaotong University Chengdu P.R.China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu P.R.China

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

With the continuous increase of IoT devices, multiple devices desire to use network resources simultaneously during peak hours and overload conditions, leading to collisions and a reduction in the network’s effective throughput. The Access Class Barring (ACB) method has been proposed as the optimal potential solution in LTE communication networks to overcome this problem. However, existing ACB schemes do not fully utilize preamble resources, and most schemes do not consider the situation where PUSCH resources are limited. Therefore, this paper proposes a two-stage ACB algorithm that considers the situation of limited PUSCH resources. This algorithm recycles part of the preamble resources and sets the ACB factor based on the number of PUSCH resources. Simulation results show that our proposed algorithm significantly outperforms traditional schemes in terms of total service time, delay, throughput, and PUSCH resource efficiency.

关键词： Vehicular and wireless technologies Delay effects Computer simulation Throughput Delays Internet of Things Communication networks Long Term Evolution

来源：评论

学校读者我要写书评

暂无评论

High information Density and Low Coverage Data Storage in DNA with Efficient Channel coding Schemes

arXiv

引用

arXiv 2024年

作者： Ding, Yi He, Xuan Nguyen, Tuan Thanh Song, Wentu Yakhini, Zohar Yaakobi, Eitan Pan, Linqiang Tang, Xiaohu Cai, Kui Information Coding and Transmission Key Lab of Sichuan Province Southwest Jiaotong University Sichuan Chengdu611756 China Cluster Singapore University of Technology and Design 487372 Singapore Faculty of Computer Science Technion - Israel Institute of Technology Haifa3200003 Israel School of Computer Science RUNI Herzliya4615200 Israel Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China

DNA-based data storage has been attracting significant attention due to its extremely high data storage density, low power consumption, and long duration compared to conventional data storage media. Despite the recent advancements in DNA data storage technology, significant challenges remain. In particular, various types of errors can occur during the processes of DNA synthesis, storage, and sequencing, including substitution errors, insertion errors, and deletion errors. Furthermore, the entire oligo may be lost. In this work, we report a DNA-based data storage architecture that incorporates efficient channel coding schemes, including different types of error-correcting codes (ECCs) and constrained codes, for both the inner coding and outer coding for the DNA data storage channel. We also carried out large scale experiments to validate our proposed DNA-based data storage architecture. Specifically, 1.61 and 1.69 MB data were encoded into 30,000 oligos each, with information densities of 1.731 and 1.815, respectively. It has been found that the stored information can be fully recovered without any error at average coverages of 4.5 and 6.0, respectively. This experiment achieved the highest net information density and lowest coverage among existing DNA-based data storage experiments (with standard DNA), with data recovery rates and coverage approaching theoretical optima. Copyright © 2024, The Authors. All rights reserved.

关键词： Channel coding

来源：评论

学校读者我要写书评

暂无评论

On the reliability and concurrent unicast transmission node control of 5G NR-V2X networks

arXiv

引用

arXiv 2021年

作者： Li, Ke Li, Li Wu, Wenpeng Tang, Xueyan Fan, Pingzhi Provincial Key Lab of Information Coding & Transmission Southwest Jiaotong University Chengdu China School of Computer Science and Engineering Nanyang Technological University Singapore

In vehicle-to-everything (V2X) communications, reliability is one of the most important performance metrics in safety-critical applications such as advanced driving, remote driving, and vehicle platooning. In this paper, the link reliability of unicast concurrent transmission in mode 1 (centralized mode) of 5G New Radio based V2X (NR-V2X) is analyzed. The closed-form expression of link reliability for concurrent unicast transmission is firstly derived for a highway scenario under a given interference distance distribution. On this basis, according to the macroscopic configuration of the system, a method to control the number of concurrent transmission nodes is proposed, including the communication range, message packet size, and the number of lanes, etc. The results indicate that the proposed method can maximize the system load on the premise of satisfying the link reliability requirements. Copyright © 2021, The Authors. All rights reserved.

关键词： Reliability

来源：评论

学校读者我要写书评

暂无评论

Joint Optimization of Active and Passive Beamforming in Multi-IRS Aided mmWave Communications

Joint Optimization of Active and Passive Beamforming in Mult...

引用

IEEE Globecom Workshops

作者： Renlong Wei Qing Xue Shaodan Ma Yongjun Xu Li Yan Xuming Fang School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Department of Electrical and Computer Engineering University of Macau Macao SAR China Key Lab of Information Coding & Transmission Southwest Jiaotong University Chengdu China

ISBN: (纸本)9781665459761

Intelligent reflecting surface (IRS) has been considered as a promising technology to alleviate the blockage effect and enhance coverage in millimeter wave (mmWave) communication. To explore the impact of IRS on the performance of mmWave communication, we investigate a multi-IRS assisted mmWave communication network and formulate a sum rate maximization problem by jointly optimizing the active and passive beamforming and the set of IRSs for assistance. The optimization problem is intractable due to the lack of convexity of the objective function and the binary nature of the IRS selection variables. To tackle the complex non-convex problem, an alternating iterative approach is proposed. In particular, utilizing the fractional programming method to optimize the active and passive beamforming and the optimization of IRS selection is solved by enumerating. Simulation results demonstrate the performance gain of our proposed approach.

关键词： Array signal processing Surface waves Simulation Millimeter wave technology Programming Performance gain Linear programming

来源：评论

学校读者我要写书评

暂无评论

Joint Optimization of Active and Passive Beamforming in Multi-IRS Aided mmWave Communications

arXiv

引用

arXiv 2022年

作者： Wei, Renlong Xue, Qing Ma, Shaodan Xu, Yongjun Yan, Li Fang, Xuming School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China State Key Laboratory of Internet of Things for Smart City University of Macau China Department of Electrical and Computer Engineering University of Macau China Key Lab of Information Coding & Transmission Southwest Jiaotong University Chengdu610031 China

关键词： Beamforming

来源：评论

学校读者我要写书评

暂无评论

Improved Sparse Activity Detection Based on Optimized Measurement Matrix in mMTC

Improved Sparse Activity Detection Based on Optimized Measur...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Jianyu Wang Liu Yang Chaoyuan Bai Heng Liu Communication and Sensor Network for Modern Transportation International Cooperation Center(CSNMT) Southwest Jiaotong University Chengdu P.R.China Key Lab of Information Coding & Transmission Institude of Mobile Communication Southwest Jiaotong University Chengdu P.R.China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu P.R.China

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Device activity detection and channel estimation are central problems in massive Machine Type Communication (mMTC) scenarios. Given the sparse distribution of active devices, compressive sensing (CS) emerges as a viable solution at the gNB to mitigate interference stemming from non-orthogonal preamble sets. This paper proposes an algorithm for optimizing measurement matrix, thereby elevating the performance of signal recovery in CS. Within the proposed algorithm, a optimization model that integrates eigenvalue averaging and equiangular tight frame (ETF) theory is formulated, and an iterative algorithm is devised to approximate the optimal solution utilizing singular value decomposition (SVD). Further, a weight-based strategie is discussed with respect to the feasibility of the proposed algorithm, accompanied by the introduction of iteration termination condition. Experimental results corroborate the algorithm’s swift convergence, underpinning the efficient production of high-performance matrices that refine the accuracy of joint device activity detection and channel estimation.

关键词： Vehicular and wireless technologies Optimization models Channel estimation Approximation algorithms Eigenvalues and eigenfunctions Sparse matrices Matrix decomposition Optimization Convergence Singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

Analysis for Rank Distribution of BATS Codes under Time-Variant Channels 91

Analysis for Rank Distribution of BATS Codes under Time-Vari...

引用

91st IEEE Vehicular Technology Conference, VTC Spring 2020

作者： Tang, Lin Liu, Heng Yang, Liu Ma, Zheng Xiao, Ming Xian Shanxi711044 China Institude of Mobile Communication Southwest Jiaotong University Key Lab of Information Coding Transmission Chengdu Sichuan611756 China Kth Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781728152073

A batched sparse (BATS) code provides a novel two-stage coding structure for the multi-hop network, in which the outer code performed at the source node generates a potentially unlimited number of batches and the inner code at the intermediate network nodes applies network coding on packets belonging to the same batch. Previous works have studied the performance of BATS codes in the erasure channels, in which the packet loss rate \varepsilon is always assumed to be a constant on each link. However, in some application scenarios such as the Industrial Internet of Things (IIoTs) where there are a number of mobile nodes in the networks, the channel conditions could be time-variant due to the mobility of nodes, resulting the packet loss rate \varepsilon varying over time as well. Therefore this paper studies the rank distribution which is one of the most significant performance metric of BATS codes under time-variant channels by assuming the packet loss between links modeled as a random variable instead of a constant value. Closed-form expressions of rank distribution are obtained with the packet loss rate \varepsilon following two typical types of distributions. Both numerical and simulation results are provided to verify our analysis. © 2020 IEEE.

关键词： Network coding

来源：评论

学校读者我要写书评

暂无评论

Radio Frequency Emitter Identification Based on Ensemble Learning

Radio Frequency Emitter Identification Based on Ensemble Lea...

引用

Control, Electronics and Computer Technology (ICCECT), IEEE International Conference on

作者： Qi Cheng Jie Li Xiaoli Gao Quan Zhou Heng Liu Liu Yang Southwest Jiaotong University Chengdu Research Institute of National Defense Advanced Technology Sichuan Jiuzhou Electrical Group Co.Ltd Mianyang China Chengdu Branch of Research Institute of National Defense Advanced Technology Sichuan Jiuzhou Electrical Group Co.Ltd Mianyang China Key Lab of Information Coding & Transmission Southwest Jiaotong University Chengdu China

In order to accurately identify and authenticate radio frequency (RF) emitters, preventing the occurrence of problems such as device cloning, replay attacks and user identity impersonation, an identification method based on time- frequency feature extraction and ensemble learning is proposed. First, the short-time Fourier transform (STFT) is applied on the time-domain signals to generate the time-frequency images which carry the essential characteristics of the signals. Then three sub-models of Resnet34, Inceptionv3 and Densenet121 are trained on the data set with the features extracted by each sub- model and fused to obtain a comprehensive model. The experimental results show that the overall recognition accuracy of the proposed algorithm for 10 LoRa RF emitters outperforms the sub-models applied individually.

关键词：

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：