2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)最新文献_第3页

Resource Allocation for URLLC Service in Relay-Assisted Smart Grid System 中继辅助智能电网中URLLC服务的资源分配

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828994

Yanqing Ren, Hongbing Huang, Jun-Bo Wang, Lanxin Qiu, Hua Zhang, Yi Zhang

引用次数: 0

A Multi-dimensional Resource Allocation Algorithm Based on Real-Time Services in the Space-Ground Integrated Network 基于实时业务的地空综合网络多维资源分配算法

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828880

Hua Qu, Feng Wei, Ji-hong Zhao, Nan Ma, Yongyue Yu

{"title":"A Multi-dimensional Resource Allocation Algorithm Based on Real-Time Services in the Space-Ground Integrated Network","authors":"Hua Qu, Feng Wei, Ji-hong Zhao, Nan Ma, Yongyue Yu","doi":"10.1109/icicse55337.2022.9828880","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828880","url":null,"abstract":"In the Space-Ground integrated network (SGIN), with the help of satellites, it can quickly respond to the resource requests for real-time services, which improves users’ satisfaction. With the increasing diversification of users’ requirement and frequent change of the satellite network topology, the diversity and time variability of resources make existing resource allocation strategy not flexible enough, and the algorithm stability is poor. Aiming at solving above problems, this paper proposed a multi-dimensional time-varying resource allocation algorithm based on SGIN. First, the architecture of the resources and services in the SGIN and establish multi-layer structure of SGIN was designed. Moreover, Real-time services waiting queue was extracted from the multi-layer structure, and real-time services and corresponding parameters were collected, which calculated resource demand of services. Then, four resource modules, including resource occupation, remaining resource, reserved resource, and resource request were obtained though analyzing and modeling, which were turned into resource coordinate graph, and finally calculated the resource capacity of each dimension. At the end, this algorithm used different resource allocation methods for different service. The simulation results showed that the algorithm could improve resource utilization and the number of completed services.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy-Efficient Precoding Design for Downlink IRS-Assisted URLLC System 下行irs辅助URLLC系统的节能预编码设计

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828868

Bai Xu, Hongbin Huang, Jun-Bo Wang, Lanxin Qiu, Hua Zhang, Yi Zhang

{"title":"Energy-Efficient Precoding Design for Downlink IRS-Assisted URLLC System","authors":"Bai Xu, Hongbin Huang, Jun-Bo Wang, Lanxin Qiu, Hua Zhang, Yi Zhang","doi":"10.1109/icicse55337.2022.9828868","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828868","url":null,"abstract":"Ultra-reliable and low-latency communication (URLLC) has emerged as a crucial usage scenario for fifth-generation (5G)-and-beyond networks and has become an important enabler of Internet of Things (IoT). Because most devices in URLLC have limited energy resources, energy-efficient design is also a significant topic in URLLC systems. On the other hand, Intelligent reflecting surface (IRS) is a promising alternative to improve system performance due to its well energy-efficiency (EE). It is expected that the IRS can play a key role in URLLC systems. This paper studies a downlink IRS-assisted URLLC system with single user, in which the problem is formulated as an energy-efficiency maximization problem. The optimization problem is non-convex and we propose an algorithm based on successive convex approximation (SCA) and semi-definite relaxation (SDR) techniques to obtain a suboptimal solution of the proposed problem. Finally, the simulation results are shown to verify the effectiveness of the proposed algorithm and the positive impact of IRS on the URLLC system.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123582233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design and FPGA Implementation of a Digital Channelized Receiver 数字信道化接收机的设计与FPGA实现

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828944

Q. Tian, Anping Jiang, Bo Bi

引用次数: 1

A Sparse Direct Adaptive Equalization Method for Underwater Acoustic Communication 一种稀疏直接自适应水声通信均衡方法

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828884

Haoyang Li, Hao Zhang, Tingting Lv, Manli Zhou, Shijie Huang, Dou Xiang

引用次数: 1

Welding Quality Prediction Method Based on Hidden Markov Model 基于隐马尔可夫模型的焊接质量预测方法

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828982

Xiaobao Sun, Y. Liu, Dongyao Wang, Hang Ye

引用次数: 0

Direct Position Determination for Single Sensor Emitter Localization with Unknown Period 未知周期单传感器发射器定位的直接定位

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828900

Xuefeng Feng, Zhen Huang, Jiazhi He, Ying Xiao, Dingli Xue

{"title":"Direct Position Determination for Single Sensor Emitter Localization with Unknown Period","authors":"Xuefeng Feng, Zhen Huang, Jiazhi He, Ying Xiao, Dingli Xue","doi":"10.1109/icicse55337.2022.9828900","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828900","url":null,"abstract":"In this paper, a novel direct position determination approach is proposed for single sensor emitter localization with unknown period. Based on signal periodicity, stationary emitters can be located by a single moving sensor with only one antenna. By exploiting the time difference of arrival between received signals at different trajectory points, the location of a non-cooperative emitter can be jointly estimated with its signal period. Since the time difference of arrival should be estimated before localization, this method, which is also known as two-step method, has poor performance at low signal-to-noise ratio. By grouping the conjugate products of signals received at different trajectory points, the well-known direct position determination method is extended to the field of single sensor emitter geolocation. The proposed method estimates the emitter position directly from the received signal, which reduces the information loss from time difference of arrival estimation to position estimation. Numerical simulations indicate that, compared with the conventional two-step method, the proposed method achieves better performance under low signal-to-noise ratio.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133629925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

DFGAN: Image Deblurring through Fusing Light-Weight Attention and Gradient-Based Filters DFGAN:通过融合轻量级注意和基于梯度的滤波器来消除图像模糊

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9829002

Ali Syed Saqlain, Fang Fang, Li-Yun Wang, Tanvir Ahmad, Z. Abidin

{"title":"DFGAN: Image Deblurring through Fusing Light-Weight Attention and Gradient-Based Filters","authors":"Ali Syed Saqlain, Fang Fang, Li-Yun Wang, Tanvir Ahmad, Z. Abidin","doi":"10.1109/icicse55337.2022.9829002","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9829002","url":null,"abstract":"Recovering a latent sharp image from a spatially variant blurred image is a challenging task in the field of computer vision especially in blind image deblurring, where the source of the blur kernel is unknown and may vary. To remove the intricate motion blur in the images, recently deep learning-based methods perform latent clean image recovery without the need of knowing the blur kernel explicitly. Unlike conventional blind deblurring methods that assume the blur to be spatially invariant across the image. However, simply stacking convolution layers in deep multi-scale networks does not guarantee the complete removal of motion blur in the images and may lead to a poor performance for blind image deblurring task. Thus, we propose a GAN-based approach for single image blind motion deblurring task in an end-to-end manner, for simplicity its called DeblurFusedGAN (DFGAN). The proposed method improves the performance for image deblurring task by fusing the light-weight attention (LSA) mechanism and gradient-based filters in the generator network. Furthermore, we show the sophisticated performance of our proposed approach both qualitatively and quantitatively in comparison with the other state-of-the-art methods.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122611984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Multiple Input Single Target Streamflow Forecast by Neurowavelet Networks 基于神经小波网络的多输入单目标流预测

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828938

Jackson A. Criswell

{"title":"Multiple Input Single Target Streamflow Forecast by Neurowavelet Networks","authors":"Jackson A. Criswell","doi":"10.1109/icicse55337.2022.9828938","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828938","url":null,"abstract":"In this work a methodology of time series analysis and forecasting is implemented and tested against streamflow data measured from the Mississippi River. Measurements from a set of twelve data stations along the river is used in various configuration to test the potential improvement in predictive efficiency from incorporation of a network of sensors. The forecast system is based on combining the discrete wavelet transform with the well-established feed forward non-linear auto regressive design multilayer perceptron artificial neural network. These networks, referred to as neurowavelets, are able to improve predictive ability. The novel neurowavelet system is capable of processing multiple external inputs with separate selection of wavelet family and resolution. Improved performance and stability is gained through an evolutionary genetic algorithm applied to the backpropagation training process combined with the use of ensemble learning. The system is tested both with and without performing multiresolution analysis of the inputs and a clear advantage is seen when introducing the wavelet decomposition. Results show improvement from the refined model and best forecast performance is obtained from use of the full sensor cascade and the Coiflet wavelet family.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Pseudorandom Bit Generator Based on Hyperbolic Sine Function 一种基于双曲正弦函数的伪随机比特发生器

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1051/itmconf/20224702001

Qi Wu

引用次数: 0