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Outage analysis for full-duplex relaying satellite-terrestrial NOMA systems 全双工中继卫星-地面NOMA系统的中断分析
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2639143
Nan Hu, Jiliang Zhang
{"title":"Outage analysis for full-duplex relaying satellite-terrestrial NOMA systems","authors":"Nan Hu, Jiliang Zhang","doi":"10.1117/12.2639143","DOIUrl":"https://doi.org/10.1117/12.2639143","url":null,"abstract":"In this paper, the outage performance for a full-duplex (FD) relaying satellite-terrestrial system is investigated. The system consists of a satellite source, a relay, and two users. Firstly, the satellite transmits the information of two users to the FD relay, and then the relay decodes and forwards the information to both users. Herein, the non-orthogonal multiple access protocol is used to incorporate the signal of two users. We investigate the system outage performance in the presence of residual self-interference of the relay and derive the exact expressions of outage probability for two users. Moreover, the accuracy of the results is verified with Monte-Carlo simulations.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125876156","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
Basic analysis for base-band and pass-band transmission system 基带和通带传输系统的基本分析
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2640510
Rui-tao Xuan
{"title":"Basic analysis for base-band and pass-band transmission system","authors":"Rui-tao Xuan","doi":"10.1117/12.2640510","DOIUrl":"https://doi.org/10.1117/12.2640510","url":null,"abstract":"The main type of communication system can be divided into base-band transmission and pass-band transmission. For baseband transmission, polar NRZ coding is utilized among common PCM coding schemes to achieve the best error performance when the SNR stays the same. Matched filter receiver is adopted to carry on error analysis. For pass-band transmission, signal-space is introduced to simplify the procedure with a few examples. Then a new Euclidean space is mentioned, which is sort of different from the former, to directly map sending bits with their actual position on the space. 2D and 3D space, related to the 4-ary system and 8-ary system respectively, is depicted to illustrate the point. At last, a potential application for pixel maps is considered to qualitatively underscore the error impact on the practical system.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425733","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
Application and network architecture model construction analysis based on key electronic communication technologies 基于关键电子通信技术的应用与网络体系结构模型构建分析
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2640505
Y. Zeng, Jianqiang Qiu
{"title":"Application and network architecture model construction analysis based on key electronic communication technologies","authors":"Y. Zeng, Jianqiang Qiu","doi":"10.1117/12.2640505","DOIUrl":"https://doi.org/10.1117/12.2640505","url":null,"abstract":"Today, my country's economy is developing rapidly, and it has basically entered the information age in an all-round way. The application of information technology is more and more extensive, and it has effectively improved the efficiency of life and work. As one of the important parts of information technology, electronic communication system can provide greater convenience for communication between people. Therefore, contemporary people's dependence on electronic communication equipment is becoming stronger and stronger, and the development of key electronic communication technologies can also promote the sound development of my country's electronic communication system. This paper analyzes the application of key technologies in electronic communication and the measures for building network architecture models for reference.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126585963","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
Bibliometric-based visual knowledge graph analysis of facility layout problems 基于文献计量学的设施布局问题可视化知识图分析
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2640452
Chuanmin Wang, Zhenlin Lu
{"title":"Bibliometric-based visual knowledge graph analysis of facility layout problems","authors":"Chuanmin Wang, Zhenlin Lu","doi":"10.1117/12.2640452","DOIUrl":"https://doi.org/10.1117/12.2640452","url":null,"abstract":"The quality of facility layout is related to the operational efficiency of the entire system. Based on bibliometric methods, 859 related papers on the theme of facility layout included in the Web of Science core dataset from 2002 to 2021 were analyzed. First, through the visualization tools of Web of Science, the issue of facility layout is analyzed from the annual publication volume, journals and research directions. Next, based on the Citespace software, the cooperation and citation relationships among countries, institutions, and authors are analyzed from the macro, meso, and micro levels, and the cooccurrence analysis of keywords and nominal terms is carried out to generate a visual knowledge map, and to solve the problem of facility layout. The research status, hotspots and trends are reviewed. The results show that the problem of facility layout has been a hot research area. However, there are many and scattered situations in China's facility layout research, and it is necessary to strengthen cooperation. In addition, there are few studies in the fields of digital facility layout, smart factory, and digital twin, which need to be focused on.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078981","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
An improved compression algorithm based on IDN model of image super-resolution reconstruction 一种基于IDN模型的图像超分辨率重构改进压缩算法
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2639111
Zemin Xu, Jian Xu, Bing Song, Zhengguang Xie
{"title":"An improved compression algorithm based on IDN model of image super-resolution reconstruction","authors":"Zemin Xu, Jian Xu, Bing Song, Zhengguang Xie","doi":"10.1117/12.2639111","DOIUrl":"https://doi.org/10.1117/12.2639111","url":null,"abstract":"At present, the convolutional neural network is deepening in level and has a huge amount of computation, so it is difficult to realize application in scenarios with low computing capacity. Therefore, this paper proposes a method based on channel pruning and weight quantization to reduce the amount of computation and compress the image super-resolution to reconstruct the network model IDN. Experimental results show that the proposed method effectively compresses the model structure, greatly shortens the calculation time of the model and makes the model more lightweight under the premise that the performance indexes are basically unchanged.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521323","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
Improved detection algorithm of tank and armored vehicles based on YOLOV3-tiny 基于YOLOV3-tiny的坦克装甲车辆改进检测算法
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2639173
Zihan Zhao, Liu Peng
{"title":"Improved detection algorithm of tank and armored vehicles based on YOLOV3-tiny","authors":"Zihan Zhao, Liu Peng","doi":"10.1117/12.2639173","DOIUrl":"https://doi.org/10.1117/12.2639173","url":null,"abstract":"Target detection technology is a typical application in the military field. It can quickly and accurately find and identify all kinds of enemy vehicle targets in the battlefield, and respond to all kinds of battlefield targets more quickly, which has become the key to improve the battlefield situation. Because the battlefield environment is very complex, the traditional target detection algorithm is not ideal when detecting targets in complex scenes. Therefore, a target detection algorithm for armored vehicles of military tanks based on improved YOLOv3-tiny is proposed, which realizes the automatic detection of military targets in complex environments by deep learning. Firstly, based on YOLOv3-tiny algorithm, ResNext residual network is added to replace the original feature extraction network, which better improves the problem of missing and false detection of small targets and optimizes the convolution network structure. Then, the dense network is introduced, and the features of different layers are fused to realize feature reuse, which improves the efficiency of extracting better features of target vehicles, strengthens the network's ability to learn features, and improves the detection effect. Experimental results show that the recall rate and precision rate are increased by 4.62% and 3.79% respectively, the average precision rate is increased by 4.32%, and the frame rate can reach 78 frames/s.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127753112","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
Research on key frame extraction algorithm based on deep convolutional neural network in video catalogue 基于深度卷积神经网络的视频目录关键帧提取算法研究
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2640688
Yibei Chen, Ling Zhang, Xinghua Zhang, Yu Zhao, Yao-Min Feng, Yiyong Lin
{"title":"Research on key frame extraction algorithm based on deep convolutional neural network in video catalogue","authors":"Yibei Chen, Ling Zhang, Xinghua Zhang, Yu Zhao, Yao-Min Feng, Yiyong Lin","doi":"10.1117/12.2640688","DOIUrl":"https://doi.org/10.1117/12.2640688","url":null,"abstract":"With the gradual improvement of space launch sites image communication system construction, Visual command is increasingly demanding video image retrieval. The previous keyword retrieval method can not meet the requirements of new generation space mission network communication, content-based retrieval need to be developed. In view of the problem that video information is unstructured and cannot be quickly previewed, this paper studies the video key frame extraction algorithm and propose a video key frame extraction algorithm based on convolutional neural network.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127788502","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
Interference mitigation based on reconfigurable intelligent surface-assisted Internet of Things 基于可重构智能表面辅助物联网的干扰抑制
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2639159
Xiangcheng Lin
{"title":"Interference mitigation based on reconfigurable intelligent surface-assisted Internet of Things","authors":"Xiangcheng Lin","doi":"10.1117/12.2639159","DOIUrl":"https://doi.org/10.1117/12.2639159","url":null,"abstract":"Cellular-based Internet of Things (IoT) network has huge potential, i.e., enhancing security, promoting smart cities, and so on, while the interference will become very serious with the increasing densification of cells. Reconfigurable intelligent surface (RIS) has tremendous potential to alleviate interference. In this paper, we use RIS to improve the system performance via reducing the interference from neighboring cells and users in the same cell. We establish an optimization problem to maximize data rate with the constraint of the power of base stations (BSs). Due to the nonconvexity of the optimization problem, it’s difficult to obtain the optimal passive beamforming and active beamforming directly. Thus, we propose the fractional programming (FP) method to approximate non-convex objective function to tractable forms. Then, we utilize an improved block coordinate descent (BCD) algorithm to find suitable passive and active beamforming for the presented two convex functions. Simulation results demonstrate that the BCD method has better system performance than the non-RIS and random phase schemes.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124916900","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
Adaptive digital filtering method for communication channel noise in Internet of Things 物联网通信信道噪声的自适应数字滤波方法
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2639660
Fanzhi Meng
{"title":"Adaptive digital filtering method for communication channel noise in Internet of Things","authors":"Fanzhi Meng","doi":"10.1117/12.2639660","DOIUrl":"https://doi.org/10.1117/12.2639660","url":null,"abstract":"With the rapid development of the Internet of Things, the problem of channel noise restriction has become increasingly prominent. In the application process, the SNR is too low. In order to solve the above problems, an adaptive digital filtering method of noise in Internet of Things communication channel is designed. Extract the network spread spectrum factor, extend the original signal to a higher bandwidth transmission, improve the communication channel noise detection mode, forward the received source signal to the destination and amplify, realize the design of adaptive digital filtering method. Experimental results: The signal to noise ratio of the self-adaptive digital filtering method of the Internet of Things communication channel noise in this paper is 2.903dB and 2.866dB more than the mean of the other two methods, indicating that the self-adaptive digital filtering method of the Internet of Things communication channel noise in this design is more effective.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"12258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162089","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
Design of pulse position modulation system based on programmable logic device 基于可编程逻辑器件的脉冲位置调制系统设计
Neural Networks, Information and Communication Engineering Pub Date : 2022-06-30 DOI: 10.1117/12.2640750
Yuting Liu
{"title":"Design of pulse position modulation system based on programmable logic device","authors":"Yuting Liu","doi":"10.1117/12.2640750","DOIUrl":"https://doi.org/10.1117/12.2640750","url":null,"abstract":"A communication system for remote communication is designed. The system uses FPGA as the main control unit and pulse position modulation PPM as the basic modulation mode. Aiming at the problem that frame synchronization can not be realized in PPM communication, this design adopts the way of adding frame head frame tail structure and inserting protection gap to ensure information synchronization. In addition, the four-phase clock synchronization extraction method is used in the synchronous demodulation of PPM signal at the receiving end, which effectively reduces the error rate of FPGA in the working process, and greatly simplifies the design of the whole system. In this design, the encoding of PPM will use Gray code mapping to reduce the bit error rate. Finally, the system achieves a faster communication rate, and the BER of the actual test is low.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132191856","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
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