Pub Date : 2022-10-28DOI: 10.1109/CECCC56460.2022.10069046
Huahong Zhu, Jianzhao Li, Jianyuan Hu, Wenyun Li
To meet the operator-specified reliability target, operators spend more money augmenting the redundancy of the 5G core network. A key challenge is striking the balance between cost and reliability, as these are inherently at odds; the network lack of redundant deployment might not be able to obtain high reliability. We propose a novel method to this challenge that draws inspiration from 5G-advanced and 6G evolution. The Network Data Analytics Function (NWDAF) provides a means for intelligent control and scheduling based on the ability of data analysis. Our method enables Home Subscriber Server(HSS) as the backup of the Unified Data Management(UDM) by automated transferring in real time, when NWDAF detects all UDMs failing. The mechanism and procedures of automated disaster backup and recovery are described in detail. Finally, the effectiveness of the proposed method is analyzed by Fault Tree Analysis(FTA) and probability theory with qualitative and quantitative evaluation.
为了满足运营商规定的可靠性目标，运营商需要投入更多资金来增强5G核心网的冗余。一个关键的挑战是如何在成本和可靠性之间取得平衡，因为这两者本质上是矛盾的;缺乏冗余部署的网络可能无法获得高可靠性。我们提出了一种从5g先进和6G演进中汲取灵感的新方法来应对这一挑战。NWDAF (Network Data Analytics Function)提供了一种基于数据分析能力的智能控制和调度手段。我们的方法在NWDAF检测到所有UDM故障时，通过实时自动传输，使Home Subscriber Server(HSS)作为统一数据管理(UDM)的备份。详细介绍了自动灾难备份和恢复的机制和过程。最后，通过故障树分析和概率论对所提方法的有效性进行了定性和定量评价。
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Pub Date : 2022-10-28DOI: 10.1109/ceccc56460.2022.10069185
{"title":"CECCC 2022 Cover Page","authors":"","doi":"10.1109/ceccc56460.2022.10069185","DOIUrl":"https://doi.org/10.1109/ceccc56460.2022.10069185","url":null,"abstract":"","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130092833","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}
Pub Date : 2022-10-28DOI: 10.1109/CECCC56460.2022.10069825
Chenen Jin
Learning to keep information over the long time intervals by backpropagation usually spend a lot of time. Therefore, long short-term memory (LSTM) is introduced in this task with novelty and efficiency. With the advantage of truncating the gradient harmlessly, LSTM is able to connect thousands of time steps by forcing a constant error flow within special cells contains constant error carousels. The multiplication gate unit learns open and close access to a constant stream of errors. In comparison with recurrent cascade correlation, real-time recurrent learning, and chunking of neural sequence, LSTM brings about more successful results and has a short learning time. LSTM is also able to solve complicated, artificially long-lag tasks. Based on its superiority, LSTM network serves as a useful tool in time series forecasting. We use the LSTM network to forecast the cases of varicella in the future. And the current LSTM network is optimized to increase the efficiency. Finally, the training time is decreased and the accuracy of trained network is increased simultaneously when the quantity of hidden units is changed from 200 to 100.
{"title":"Application and Optimization of Long Short-term Memory in Time Series Forcasting","authors":"Chenen Jin","doi":"10.1109/CECCC56460.2022.10069825","DOIUrl":"https://doi.org/10.1109/CECCC56460.2022.10069825","url":null,"abstract":"Learning to keep information over the long time intervals by backpropagation usually spend a lot of time. Therefore, long short-term memory (LSTM) is introduced in this task with novelty and efficiency. With the advantage of truncating the gradient harmlessly, LSTM is able to connect thousands of time steps by forcing a constant error flow within special cells contains constant error carousels. The multiplication gate unit learns open and close access to a constant stream of errors. In comparison with recurrent cascade correlation, real-time recurrent learning, and chunking of neural sequence, LSTM brings about more successful results and has a short learning time. LSTM is also able to solve complicated, artificially long-lag tasks. Based on its superiority, LSTM network serves as a useful tool in time series forecasting. We use the LSTM network to forecast the cases of varicella in the future. And the current LSTM network is optimized to increase the efficiency. Finally, the training time is decreased and the accuracy of trained network is increased simultaneously when the quantity of hidden units is changed from 200 to 100.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131187281","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}
Pub Date : 2022-10-28DOI: 10.1109/CECCC56460.2022.10069485
D. Din
In this article, the virtual network embedding resource trading and expanding (VNE-RTE) problem on elastic optical networks (EONs) with time-varying traffic was studied. Several trading and expanding methods were proposed to solve the VNE-RTE problem. We show the effectiveness of the proposed methods through extensive simulations. Simulation results show that the proposed RTE scheme can improve the overall computing/spectrum resource utilization of an EON.
{"title":"Virtual Network Embedding Resource Trading and Expanding Problem of Time-Varying Traffic Problem in EONs","authors":"D. Din","doi":"10.1109/CECCC56460.2022.10069485","DOIUrl":"https://doi.org/10.1109/CECCC56460.2022.10069485","url":null,"abstract":"In this article, the virtual network embedding resource trading and expanding (VNE-RTE) problem on elastic optical networks (EONs) with time-varying traffic was studied. Several trading and expanding methods were proposed to solve the VNE-RTE problem. We show the effectiveness of the proposed methods through extensive simulations. Simulation results show that the proposed RTE scheme can improve the overall computing/spectrum resource utilization of an EON.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555921","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}
Pub Date : 2022-10-28DOI: 10.1109/CECCC56460.2022.10069045
Yi-Lu Pan
This paper introduces the electromechanically actuated lower-limb exoskeletons and analyses the limitations of existing inertial measurement units and force sensors through regression models. It establishes a gait model using BP neural network based on fibre-woven strain sensors made by metallogels. In addition, sEMG will also be introduced to improve the whole system.
{"title":"Analysis and Improvement of Three Kinds of Exoskeleton Sensors","authors":"Yi-Lu Pan","doi":"10.1109/CECCC56460.2022.10069045","DOIUrl":"https://doi.org/10.1109/CECCC56460.2022.10069045","url":null,"abstract":"This paper introduces the electromechanically actuated lower-limb exoskeletons and analyses the limitations of existing inertial measurement units and force sensors through regression models. It establishes a gait model using BP neural network based on fibre-woven strain sensors made by metallogels. In addition, sEMG will also be introduced to improve the whole system.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123784375","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}
Pub Date : 2022-10-28DOI: 10.1109/CECCC56460.2022.10069048
Zhiwang Xu, Yu Zhang, Yubing Han
Spread spectrum communication is well-known by its excellent ability of anti-interference, anti-fading and good performance in confidentiality. The tamed spread spectrum communication system is developed on the basis of it. Most of the literature does not distinguish this spread spectrum technique from direct spread spectrum. In this paper, the performance of tamed spread spectrum with single -frequency interference is analyzed and simulated compared with direct spread spectrum. The conclusion is drawn that the tamed spread spectrum technology has a strong ability to resist random noise interference, but for human interference, its performance is seriously declined. The FPGA implementation method of tamed spread spectrum communication system is mainly studied as well.
{"title":"Research and Implementation of a Tamed Spread Spectrum System Based on Walsh Coding","authors":"Zhiwang Xu, Yu Zhang, Yubing Han","doi":"10.1109/CECCC56460.2022.10069048","DOIUrl":"https://doi.org/10.1109/CECCC56460.2022.10069048","url":null,"abstract":"Spread spectrum communication is well-known by its excellent ability of anti-interference, anti-fading and good performance in confidentiality. The tamed spread spectrum communication system is developed on the basis of it. Most of the literature does not distinguish this spread spectrum technique from direct spread spectrum. In this paper, the performance of tamed spread spectrum with single -frequency interference is analyzed and simulated compared with direct spread spectrum. The conclusion is drawn that the tamed spread spectrum technology has a strong ability to resist random noise interference, but for human interference, its performance is seriously declined. The FPGA implementation method of tamed spread spectrum communication system is mainly studied as well.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386699","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}
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